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国際雑誌論文

  1. 1. *Li N+, Wang Y+, Jing F, Zha R, Wei Z, Yang LZ, Geng X, Tanaka K, *Zhang X, A role of the lateral prefrontal cortex in the congruency sequence effect revealed by transcranial direct current stimulation, Psychophysiology, 2021, 58, 5, e13784, reviewed & BibTeX
  2. 2. Taisei Sugiyama, Nicolas Schweighofer, *Jun Izawa, Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance, Nature communications, 2023, 14, 3988, reviewed BibTeX
  3. 3. *Tsuyuzaki, K., Yamamoto, K., Toyoshima, Y., Sato, H., Kanamori, M., Teramoto, T., Ishihara, T., Iino, Y., and Nikaido, I., WormTensor: a clustering method for time-series whole-brain activity data from C. elegans., BMC Bioinformatics, 2023, 24, 254, reviewed BibTeX
  4. 4. *Yoshizawa T, Ito M, Doya K, Neuronal Representation of a Working Memory-Based Decision Strategy in the Motor and Prefrontal Cortico-Basal Ganglia Loops, eNeuro, 2023, 10, 6, 0413-22, reviewed, Open access BibTeX
  5. 5. *Fung Chi Chung Alan、*Fukai Tomoki, Competition on Presynaptic Resources Enhances the Discrimination of Interfering Memories, PNAS Nexus, 2023, 2, 6, online journal BibTeX
  6. 6. *Fung C.C.A, *Fukai T, Competition on Presynaptic Resources Enhances the Discrimination of Interfering Memories, PNAS Nexus, 2023, 2, 6, ad161, online journal BibTeX
  7. 7. *Nishioka T, Attachaipanich S, Hamaguchi K, Lazarus M, de Kerchove d’Exaerde A, *Macpherson T, *Hikida T, Error-related signaling in nucleus accumbens D2 receptor-expressing neurons guides inhibition-based choice behavior in mice, Nature Communications, 2023, 14, 1, 2284, reviewed#& BibTeX
  8. 8. Nishioka, Tadaaki, Attachaipanich, Suthinee, Hamaguchi, Kosuke, Lazarus, Michael, de Kerchove d’Exaerde, Alban, Macpherson, Tom, Hikida, Takatoshi, Error-related signaling in nucleus accumbens D2 receptor-expressing neurons guides inhibition-based choice behavior in mice, Nature Communications, 2023, 14, 2284, reviewed# BibTeX
  9. 9. Nakamura D, *Gomi H, Decoding self-motion from visual image sequence predicts distinctive features of reflexive motor responses to visual motion, Neural Networks, 2023, 162, 516-530, open access: https://doi.org/10.1016/j.neunet.2023.03.020. BibTeX
  10. 10. *Yuya Kobayashi, Masahiro Suzuki, Yutaka Matsuo, Learning global spatial information for multi-view object-centric models, Advanced Robotics, 2023, 37, 8, reviewed BibTeX
  11. 11. *Tomoki Fukai, Computational models of Idling brain activity for memory processing. In NSR special issue “The idling brain in cognition”, Neuroscience Research, 2023, 189, 75-87, review airticle, Epub ahead of print on 2022/12/30 BibTeX
  12. 12. *Fukai T , Computational models of Idling brain activity for memory processing. In NSR special issue “The idling brain in cognition”, Neuroscience Research, 2023, 189, 75-87, review airticle, Epub ahead of print on 2022/12/30 BibTeX
  13. 13. Oguchi M, Li Y, Matsumoto Y, Kiyonari T, Yamamoto K, Sugiura S, Sakagami M*, Proselfs depend more on model-based than model-free learning in a non-social probabilistic state-transition task, Scientific Reports, 2023, 13, 1, reviewed BibTeX
  14. 14. *Abekawa N, Doya K, Gomi H, Body and visual instabilities functionally modulate implicit reaching corrections, iSience, 2023, 26, 1, 105751 BibTeX
  15. 15. Orlandi J.G., Abdolrahmani M, Aoki R, Lyamzin D.R., *Benucci A, Distributed context-dependent choice information in mouse dorsal-parietal cortex, Nature Communications, 2023, 14, 1, 192, reviewed BibTeX
  16. 16. Inagaki M, Inoue K, Tanabe S, Kimura K, Takada M, Fujita I, Morphological changes of large layer V pyramidal neurons in cortical motor-related areas after spinal cord injury in macaque monkeys.., Cereb Cortex, 2023, 33, 895-915, reviewed BibTeX
  17. 17. Abekawa N, Doya K, *Gomi H, Body and visual instabilities functionally modulate implicit reaching corrections, iScience, 2023, 26, 1, 105751, DOI:https://doi.org/10.1016/j.isci.2022.105751 BibTeX
  18. 18. *Jun Izawa, Noriyuki Higo, Yumi Murata, Accounting for the valley of recovery during post-stroke rehabilitation training via a model-based analysis of macaque manual dexterity, Frontiers in rehabilitation sciences, 2022, 3, 1042912, reviewed BibTeX
  19. 19. Hamaguchi K, Aoki-Takahashi H, Watanabe D, Prospective and retrospective values integrated in frontal cortex drive predictive choice, Proceedings of the National Academy of Sciences, 2022, 119, e2206067119, reviewed# BibTeX
  20. 20. Cheng, D., Lee, J.S., Brown, M., Ebert, M.S., McGrath, P.T., Tomioka, M., Iino, Y., and *Bargmann, C.I., Insulin/IGF signaling regulates presynaptic glutamate release in aversive olfactory learning, Cell Rep, 2022, 41, 8, 111685, reviewed BibTeX
  21. 21. Tanaka H, Shou Q, Kiyonari T, Matsuda T, Sakagami M, Takagishi H*, Right dorsolateral prefrontal cortex regulates default prosociality preference, Cerebral Cortex, 2022, 33, 1, 5420-5425, reviewed BibTeX
  22. 22. Taisei Sugiyama, Keita Nakae, *Jun Izawa, Transcranial magnetic stimulation on the dorsal premotor cortex facilitates human visuomotor adaptation, NeuroReport, 2022, 33, 16, 723-727, reviewed BibTeX
  23. 23. *Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui, Context limitations make neural language models more human-like, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, Long Paper, 10421-10436, reviewed BibTeX
  24. 24. *Ryo Yoshida, Yohei Oseki, Composition, attention, or both?, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, Findings, 5822-5834, reviewed BibTeX
  25. 25. Mabardi, L., Sato, H., Toyoshima, Y., *Iino, Y., and *Kunitomo, H., Different modes of stimuli delivery elicit changes in glutamate driven, experience-dependent interneuron response in C. elegans, Neurosci Res, 2023, 186, 33-42, reviewed BibTeX
  26. 26. Yoshida R, Takamori M, Matsumoto H, *Miura K, Tropical support vector machines: Evaluations and extension to function spaces, Neural Networks, 2022, 157, 77-89, reviewed BibTeX
  27. 27. *Lalande F, Trani A, Predicting the stability of hierarchical triple systems with convolutional neural networks, The Astrophysical Journal, 2022, 938, 18, Research article BibTeX
  28. 28. *Ito S, Kimura T, Gomi H, Attribution of sensory prediction error to perception of muscle fatigue, Scientific Reports, 2022, 12, 1, 16708, https://www.nature.com/articles/s41598-022-20765-9 BibTeX
  29. 29. Fermin ASR*, Kiyonari T, Matsumoto Y, Takagishi H, Li Y, Kanai R, Sakagami M, Akaishi R, Ichikawa N, Takamura M, Yokoyama S, Machizawa MG, Chan HL, Matani A, Yamawaki S, Okada G, Okamoto Y, Yamagishi T, The neuroanatomy of social trust predicts depression vulnerability, Scientific Reports, 2022, 12, 1, reviewed BibTeX
  30. 30. Yihao Wu, Masahiko Morita, *Jun Izawa, Reward prediction errors, not sensory prediction errors, play a major role in model selection in human reinforcement learning, Neural Networks, 2022, 154, 109-121, reviewed BibTeX
  31. 31. *De Havas J, Ito S, Bestmann S, Gomi H, Neural dynamics of illusory tactile pulling sensations, iScience, 2022, 25, 9, 105018, https://linkinghub.elsevier.com/retrieve/pii/S2589004222012901 BibTeX
  32. 32. Lucas Rebelo Dal’Bello, *Jun Izawa, Computational role of exploration noise in error-based de novo motor learning, Neural Networks, 2022, 153, 349-372, reviewed BibTeX
  33. 33. *Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo., World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator, Advanced Robotics, 2022, 36, 17－18, 850-869, reviewed BibTeX
  34. 34. *Doya K (Guest Editors), Friston K, Sugiyama M,Tenenbaum J, Neural Networks special issue on Artificial Intelligence and Brain Science, Neural Networks, 2022, 155, 328-329, Editorial BibTeX
  35. 35. *Hongjie Bi and Tomoki Fukai, Amplitude-mediated chimera states in nonlocally coupled Stuart-Landau oscillators., Chaos, 2022, 32, 83125, reviewed BibTeX
  36. 36. *Bi H, Fukai T, Amplitude-mediated chimera states in nonlocally coupled Stuart-Landau oscillators., Chaos, 2022, 32, 83125, reviewed BibTeX
  37. 37. *Ozawa T+, Kaseda K+, Ichitani Y, Yamada K, Caffeine facilitates extinction of auditory fear conditioning in rats, Neuropsychopharmacology Reports, 2022, 42, 4, 521-525, reviewed BibTeX
  38. 38. *Rikunari Sagara, Ryo Taguchi, Akira Taniguchi, Tadahiro Taniguchi, Automatic Selection of Coordinate Systems for Learning Relative and Absolute Spatial Concepts, Frontiers in Robotics and AI, 2022, 9 BibTeX
  39. 39. Kei Oyama+, Yukiko Hori+, Koki Mimura+, Yuji Nagai, Mark AG Eldridge, Richard C Saunders, Naohisa Miyakawa, Toshiyuki Hirabayashi, Yuki Hori, Ken-ichi Inoue, Tetsuya Suhara, Masahiko Takada, Makoto Higuchi, Barry J Richmond, Takafumi Minamimoto*, Chemogenetic disconnection between the orbitofrontal cortex and the rostromedial caudate nucleus disrupts motivational control of goal-directed action, Journal of Neuroscience, 2022, 42, 32, 6267-6275, reviewed BibTeX
  40. 40. *Hamasaki Y, Pionnié-Dax N, Dorard G, Tajan N, Hikida T, Preliminary study of the social withdrawal (hikikomori) spectrum in French adolescents: focusing on the differences in pathology and related factors compared with Japanese adolescents, BMC Psychiatry, 2022, 22, 1, 477, reviewed BibTeX
  41. 41. Aomine Y, Sakurai K, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Oka M, *Hikida T, Importin α3 (KPNA3) deficiency augments effortful reward-seeking behavior in mice, Frontiers in Neuroscience, 2022, 16, 905991, reviewed BibTeX
  42. 42. *Macpherson T+, Kim JY+ and *Hikida T, Nucleus accumbens core dopamine D2 receptor-expressing neurons control reversal learning but not set-shifting in behavioral flexibility in male mice, Frontiers in Neuroscience, 2022, 16, 885380, reviewed BibTeX
  43. 43. *Suzuki S, Takeda S, Makishima N, Ando A, Shouno H, Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations, IEEE Access, 2022, 10, 68384-68396 BibTeX
  44. 44. *Toshitake Asabuki, Prajakta Kokate and Tomoki Fukai, Neural circuit mechanisms of hierarchical sequence learning tested on large-scale recording data., PLOS Computational Biology, 2022, 18, e1010214, reviewed BibTeX
  45. 45. *TAsabuki T, Kokate P, Fukai T, Neural circuit mechanisms of hierarchical sequence learning tested on large-scale recording data., PLOS Computational Biology, 2022, 18, e1010214, reviewed BibTeX
  46. 46. Hiroki, S., Yoshitane, H., Mitsui, H., Sato, H., Umatani, C., Kanda, S., Fukada, Y., and *Iino, Y., Molecular encoding and synaptic decoding of context during salt chemotaxis in C. elegans, Nat Commun, 2022, 13, 1, e2928, reviewed BibTeX
  47. 47. Oguchi M, Sakagami M*, Dissecting the Prefrontal Network With Pathway-Selective Manipulation in the Macaque Brain—A Review, Frontiers in Neuroscience, 2022, 16, reviewed BibTeX
  48. 48. *Doya K, Ema A, Kitano H, Sakagami M, Russell S, Social impact and governance of AI and neurotechnologies, Neural Networks, 2022, 152, 542-554, Perspective article BibTeX
  49. 49. *Abekawa N, Ito S, Gomi H, Gaze-specific motor memories for hand-reaching, Current Biology, 2022, S0960982222007011., open access: https://doi.org/10.1016/j.cub.2022.04.065 BibTeX
  50. 50. Doya, K*., Ema, A., Kitano, H., Sakagami, M. Russell, S., Social impact and governance of AI and neurotechnologies, Neural Networks, 2022, 152, 542-554, reviewed BibTeX
  51. 51. Mori, K., Koebis, M., Nakao, K., Kobayashi, S., Kiyama, Y., Watanabe, M., Manabe, T., Iino, Y., and *Aiba, A., Loss of calsyntenin paralogs disrupts interneuron stability and mouse behavior, Mol Brain, 2022, 15, 1, 23, reviewed BibTeX
  52. 52. Uchida Y, *Hikida T, *Yamashita Y, Computational mechanisms of osmoregulation: a reinforcement learning model for sodium appetite, Frontiers in Neuroscience, 2022, 16, 857009, reviewed&# BibTeX
  53. 53. *Giorgia Dellaferrera, Toshitake Asabuki and Tomoki Fukai, Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons., Frontiers in Neuroscience, 2022, 16, 855753, reviewed BibTeX
  54. 54. *Dellaferrera G, Asabuki T, Fukai T, Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons., Frontiers in Neuroscience, 2022, 16, 855753, reviewed BibTeX
  55. 55. Matsuo Y, Lecun Y, Sahani M, Precup D, Silver D, Sugiyama M, Uchibe E, *Morimoto, J, Deep learning, reinforcement learning, and world models, Neural Networks, 2022, 152, 267-275, reviewed BibTeX
  56. 56. *Ito J, Joana C, Yamane Y, Fujita I, Tamura H, Maldonado P, Grün S, Latency shortening with enhanced sparseness and responsiveness in V1 during active visual sensing, Scientific Reports, 2022, 12, 6021, Research BibTeX
  57. 57. *Akira Taniguchi, Ayako Fukawa, Hiroshi Yamakawa, Hippocampal formation-inspired probabilistic generative model, Neural Networks, 2022, 151, 317-335, https://doi.org/10.1080/01691864.2022.2029762 BibTeX
  58. 58. Ike, Y., *Tomioka, M., and *Iino, Y., Involvement of HECT-type E3 ubiquitin ligase genes in salt chemotaxis learning in Caenorhabditis elegans, Genetics, 2022, 220, 4, iyac025, reviewed BibTeX
  59. 59. *Fehring DJ, Pascoe AJ, Haque ZZ, Samandra R, Yokoo S, Abe H, Rosa MGP, Tanaka K, Yamamori T, Mansouri FA., Dimension of visual information interacts with working memory in monkeys and humans, Scientific Report, 2022, 12, 1, 5335, reviewed BibTeX
  60. 60. *Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai, Kenji Doya, Masamichi Sakagami, Masahiro Suzuki, Tomoaki Nakamura, Akira Taniguchi, A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots, Neural Networks, 2022, 150, 293-312, https://doi.org/10.1016/j.neunet.2022.02.026 BibTeX
  61. 61. Nishina K, Shou Q, Takahashi H, Sakagami M, Inoue-Murayama M, Takagishi H*, Association Between Polymorphism (5-HTTLPR) of the Serotonin Transporter Gene and Behavioral Response to Unfair Distribution, Frontiers in Behavioral Neuroscience, 2022, 16, reviewed BibTeX
  62. 62. *Benucci, A., Motor-related signals support localization invariance for stable visual perception, Plos Comp. Biol., 2022, 18, 3, e1009928, Accepted BibTeX
  63. 63. Hiroyuki Miyawaki, Kenji Mizuseki, De novo inter-regional coactivations of preconfigured local ensembles support memory, Nature Communications, 2022, 13, 1, 1272 BibTeX
  64. 64. *Taniguchi T, Yamakawa H, Nagai T, Doya K, Sakagami M, Suzuki M, Nakamura T, Taniguchi A, A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots, Neural Networks, 2022, 150, 293-312, Review BibTeX
  65. 65. *Masahiro Suzuki, Yutaka Matsuo, A survey of multimodal deep generative models, Advanced Robotics, 2022, 36, 261–278, reviewed BibTeX
  66. 66. Umeda R, Teranishi H, Hada K, Shimizu N, Shiraishi H, Shaohong L, Shide M, Higa R, Shikano K, Shin T, Mimata H, Hikida T, Hanada T, *Hanada R., Vrk2 deficiency elicits aggressive behavior in female zebrafish, Genes to Cells, 2022, 27, 4, 254-265, reviewed BibTeX
  67. 67. Jaaro-Peled H, Kumar S, Hughes D, Sumitomo A, Kim S-H, Zoubovsky S, Hirota-Tsuyada Y, Zala D, Bruyere J, Katz B, Huang B, Flores R, Narayan S, Hou Z, Economides A, Hikida T, Wetsel W, Deisseroth K, Mori S, Brandon N, Tanaka M, Ishizuka K, Houslay M, Saudou F, *Dzirasa K, *Sawa A, *Tomoda T, Regulation of sensorimotor gating via Disc1/Huntingtin-mediated Bdnf transport in the cortico-striatal circuit, Molecular Psychiatry, 2022, 27, 3, 1805-1815, reviewed BibTeX
  68. 68. *Yuki Katsumata, Akinori Kanechika, Akira Taniguchi, Lotfi El Hafi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, Map completion from partial observation using the global structure of multiple environmental maps, Advanced Robotics, 2022, 36, 279-290, DOI: 10.1080/01691864.2022.2029762 BibTeX
  69. 69. *Ryo Yoshida, Yohei Oseki, Learning argument structures with recurrent neural network grammars, Proceedings of the Society for Computation in Linguistics (SCiL), 2022, Long Paper, 101-111, reviewed BibTeX
  70. 70. Hiroki, S., and Iino, Y., The redundancy and diversity between two novel PKC isotypes that regulate learning in Caenorhabditis elegans, Proc Natl Acad Sci U S A, 2022, 119, 3, e2106974119, reviewed BibTeX
  71. 71. *Matsumoto M, Abe H, Tanaka K, Matsumoto K, Different types of uncertainty distinguished by monkey prefrontal neurons, Cerebral Cortex Communications, 2022, 3, 1-17, reviewed BibTeX
  72. 72. *Tomioka, M., Jang, M.S., and Iino, Y., DAF-2c signaling promotes taste avoidance after starvation in Caenorhabditis elegans by controlling distinct phospholipase C isozymes, Commun Biol, 2022, 5, 1, 30, reviewed BibTeX
  73. 73. *Mansouri FA, Buckley MJ, Tanaka K, The neural substrate and underlying mechanisms of executive control fluctuations in primates, Progress in Neurobiology, 2022, 209, 102216, reviewed BibTeX
  74. 74. Ide, S., Kunitomo, H., Iino, Y., and Ikeda, K., Caenorhabditis Elegans Exhibits Morphine Addiction-like Behavior via the Opioid-like Receptor NPR-17, Front Pharmacol, 2022, 12, 802701, reviewed BibTeX
  75. 75. *Onitsuka T, Hirano Y, Nemoto K, Hashimoto N, Kushima I, Koshiyama D, Koeda M, Takahashi T, Noda Y, Matsumoto J, Miura K, Nakazawa T, Hikida T, Kasai K, Ozaki N, *Hashimoto R, Trends in big data analyses by multicenter collaborative translational research in psychiatry, Psychiatry and Clinical Neurosciences, 2022, 76, 1, 1-14, reviewed BibTeX
  76. 76. Rikunari Sagara, *Ryo Taguchi, Akira Taniguchi, Tadahiro Taniguchi,Koosuke Hattori, Masahiro Hoguro, Taizo Umezaki, Unsupervised lexical acquisition of relative spatial concepts using spoken user utterances, Advanced Robotics, 2022, 36, 1-2, 54-70, reviewed BibTeX
  77. 77. Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda, Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities, Neural Networks, 2022, 145, 356-373, reviewed BibTeX
  78. 78. *Shingo Shimoda, Lorenzo Jamone, Dimitri Ognibene, Takayuki Nagai, Alessandra Sciutti, Alvaro Costa-Garcia, Yohei Oseki, Tadahiro Taniguchi, What is the role of the next generation of cognitive robotics?, Advanced Robotics, 2022, 36, 3-16, reviewed BibTeX
  79. 79. Sato, H., Kunitomo, H., Fei, X., Hashimoto, K., and *Iino, Y., Simultaneous recording of behavioral and neural responses of free-moving nematodes, STAR Protoc, 2021, 2, 4, 101011, reviewed BibTeX
  80. 80. Ryota Ishikawa, Saho Ayabe-Kanamura, *Jun Izawa, The role of motor memory dynamics in structuring bodily self-consciousness, Iscience, 2021, 24, 12, 103511, reviewed BibTeX
  81. 81. *Tomoki Fukai, Toshitake Asabuki and Tatsuya Haga, Neural mechanisms for learning hierarchical structures of information., Current Opinion in Neurobiology, 2021, 70, 145-153, reviewed BibTeX
  82. 82. *Fukai T, Asabuki T, Haga T, Neural mechanisms for learning hierarchical structures of information., Current Opinion in Neurobiology, 2021, 70, 145-153, reviewed BibTeX
  83. 83. *Hirai S, Miwa H, Tanaka T, Toriumi K, Kunii Y, Shimbo H, Sakamoto T, Hino M, Izumi R, Nagaoka A, Yabe H, Nakamachi T, Shioda S, Dan T, Miyata T, Nishito Y, Suzuki K, Miyashita M, Tomoda T, Hikida T, Horiuchi J, Itokawa M, Arai M, *Okado H, High Sucrose Diets Contribute to Brain Angiopathy with Impaired Glucose Uptake, and Psychosis-related Higher Brain Dysfunctions in Mice, Science Advances, 2021, 7, 46, eabl6077, reviewed BibTeX
  84. 84. Sakurai K, Itou T, Morita M, Kasahara E, Moriyama T, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Sekiyama A, Oka M, *Hikida T, Effects of Importin α1/KPNA1 deletion and adolescent social isolation stress on psychiatric disorder-associated behaviors in mice, PLoS ONE, 2021, 16, 11, e0258364, reviewed# BibTeX
  85. 85. *Takamuku S, Gomi H, Vision-based speedometer regulates human walking, iScience, 2021, 24, 12, 103390, https://www.sciencedirect.com/science/article/pii/S2589004221013614 BibTeX
  86. 86. *Langdon A, Botvinick M, Nakahara H, Tanaka K, Matsumoto M, Kanai R, Meta-learning, social cognition and consciousness in brains and machines, Neural Networks, 2021, 145, 80-89, reviewed BibTeX
  87. 87. Mori, K., Yamauchi, N., Wang, H., Sato, K., Toyoshima, Y., and *Iino, Y., Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior, Neural Netw, 2021, 145, 107-120, reviewed BibTeX
  88. 88. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, *Hikida T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control, Neural Networks, 2021, 144, 507-521, reviewed# BibTeX
  89. 89. Macpherson T, Churchland A, Sejnowski A, DiCarlo J, Kamitani Y, Takahashi H, *Hikida T, Natural and Artificial Intelligence: a brief introduction to the interplay between AI and neuroscience research, Neural Networks, 2021, 144, 603-613, reviewed# BibTeX
  90. 90. Tanaka S, Taylor JE, Sakagami M*, The effect of effort on reward prediction error signals in midbrain dopamine neurons, Current Opinion in Behavioral Sciences, 2021, 41, 152-159, reviewed BibTeX
  91. 91. Lucas Rebelo Dal’Bello, *Jun Izawa, Task-relevant and task-irrelevant variability causally shape error-based motor learning, Neural Networks, 2021, 142, 583-596, reviewed BibTeX
  92. 92. Macpherson T, Churchland A, Sejnowski A, DiCarlo J, Kamitani Y, Takahashi H, *Hikida T, Natural and Artificial Intelligence: a brief introduction to the interplay between AI and neuroscience research, Neural Networks, 2021, 144, 603-613, reviewed#& BibTeX
  93. 93. Mimura K, Nagai Y, Inoue K, Matsumoto J, Hori Y, Sato C, Kimura K, Okauchi T, Hirabayashi T, Nishijyo H, Yahata N, Takada M, Suhara T, Higuchi M, *Minamimoto T, Chemogenetic activation of nigrostriatal dopamine neurons in freely moving common marmosets., iScience, 2021, 24, 103066, reviewed BibTeX
  94. 94. Koki Mimura, Yuji Nagai, Ken-ichi Inoue, Jumpei Matsumoto, Yukiko Hori, Chika Sato, Kei Kimura, Takashi Okauchi, Toshiyuki Hirabayashi, Hisao Nishijo, Noriaki Yahata, Masahiko Takada, Tetsuya Suhara, Makoto Higuchi, Takafumi Minamimoto*, Chemogenetic activation of nigrostriatal dopamine neurons in freely moving common marmosets, iScience, 2021, 24, 9, 103066, reviewed&# BibTeX
  95. 95. *Hamasaki Y, Pionnié-Dax N, Dorard G, Tajan N, Hikida T, Identifying Social Withdrawal (Hikikomori) Factors in Adolescents: Understanding the Hikikomori Spectrum, Child Psychiatry & Human Development, 2021, 52, 5, 808-817, reviewed BibTeX
  96. 96. Karl Friston, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, *Hiroaki Gomi, Josh Tenenbaum, World model learning and inference, Neural Networks, 2021, 144, 573-590, https://doi.org/10.1016/j.neunet.2021.09.011 BibTeX
  97. 97. Ozawa T+, Itokazu T+, Ichitani Y, *Yamada K, Pharmacologically induced N-methyl-D-aspartate receptor hypofunction impairs goal-directed food seeking in rats, Neuropsychopharmacology Reports, 2021, 41, 4, 526-531, reviewed BibTeX
  98. 98. *Doya K, Canonical cortical circuits and the duality of Bayesian inference and optimal control, Current Opinion in Behavioral Sciences, 2021, 41, 160-167, Review BibTeX
  99. 99. Morisaki I, Shiraishi H, Fujinami H, Shimizu N, Hikida T, Arai Y, Kobayashi T, Hanada R, Penninger JM, Fujiki M, *Hanada T, Modeling a human CLP1 mutation in mouse identifies an accumulation of tyrosine pre-tRNA fragments causing pontocerebellar hypoplasia type 10, Biochemical and Biophysical Research Communications, 2021, 570, 60-66, reviewed BibTeX
  100. 100. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, *Hikida T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control, Neural Networks, 2021, 144, 507-521, reviewed#& BibTeX
  101. 101. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, *Hikida, T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control, Neural Networks, 2021, 144, 507-521, reviewed BibTeX
  102. 102. Oguchi M, Tanaka S, Pan X, Kikusui T, Moriya-Ito K, Kato S, Kobayashi K, Sakagami M*, Chemogenetic inactivation reveals the inhibitory control function of the prefronto-striatal pathway in the macaque brain, Communications Biology, 2021, 4, 1, reviewed BibTeX
  103. 103. *Miyazaki K, Miyazaki KW, Increased serotonin prevents compulsion in addiction, Science, 2021, 373, 1197-1198, Commentry BibTeX
  104. 104. Yeh LF+, Ozawa T+, *Johansen JP, Functional organization of the midbrain periaqueductal gray for regulating aversive memory formation, Molecular Brain, 2021, 14, 1, 136, reviewed BibTeX
  105. 105. Abekawa N, Diedrichsen J, *Gomi H, Gaze control during reaching is flexibly modulated to optimize task outcome, J Neurophysiol., 2021, 126, 3, 816-826, https://journals.physiology.org/doi/10.1152/jn.00134.2021 BibTeX
  106. 106. *Uchibe E, Doya K, Forward and inverse reinforcement learning sharing network weights and hyperparameters, Neural Networks, 2021, 144, 138-153, Research BibTeX
  107. 107. *Suzuki S, Takeda S, Takagi M, Tanida R, Kimata H, Shouno H, Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32, 6, 3934-3946 BibTeX
  108. 108. Oguchi M, Jiasen J, Yoshioka T, Tanaka YR, Inoue K, Takada M, Kikusui T, Nomoto K, Sakagami M*, Microendoscopic calcium imaging of the primary visual cortex of behaving macaques, Scientific Reports, 2021, 11, 1, reviewed BibTeX
  109. 109. *Tatsuya Haga and *Tomoki Fukai, Multiscale representations of community structures in attractor neural networks., PLOS Computational Biology, 2021, 17, 8, e1009296, reviewed BibTeX
  110. 110. *Haga T, *Fukai T, Multiscale representations of community structures in attractor neural networks., PLOS Computational Biology, 2021, 17, 8, e1009296, reviewed BibTeX
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国内雑誌論文

  1. 1. *小林由弥, 鈴木雅大, 松尾豊, 深層生成モデルによる背景情報を利用したシーン解釈, 人工知能学会論文誌, 2023, 38, 3, reviewed BibTeX
  2. 2. *張 鑫, 松嶋 達也, 松尾 豊, 岩澤 有祐, マルチモーダルなメタ模倣学習, 人工知能学会論文誌, 2023, 38, 2, A-LB3_1-10, reviewed BibTeX
  3. 3. *吉田遼, 大関洋平, 統語的構成や自己注意を持つ言語モデルは「人間らしい」のか？, 言語処理学会第29回年次大会発表論文集, 2023, 674-679 BibTeX
  4. 4. *磯野真之介+, 梶川康平+, 吉田遼+, 大関洋平, 極小主義に動機づけられた統語的教示に基づく言語モデル, 言語処理学会第29回年次大会発表論文集, 2023, 952-957 BibTeX
  5. 5. *深津聡世+, 原田宥都+, 大関洋平, 深層学習モデルを用いた双方向形態屈折の検証, 言語処理学会第29回年次大会発表論文集, 2023, 1627-1631 BibTeX
  6. 6. *原田宥都, 大関洋平, 情報ボトルネック法を用いた視線・脳情報デコード手法の提案, 言語処理学会第29回年次大会発表論文集, 2023, 1632-1636 BibTeX
  7. 7. *菊池理紗, 大関洋平, 公的なメールに対するBERTを用いたセンチメント分析, 言語処理学会第29回年次大会発表論文集, 2023, 1708-1712 BibTeX
  8. 8. *杉本侑嗣, 吉田遼, 鄭嫣婷, 小泉政利, Jonathan Brennan, 大関洋平, 左隅型再帰的ニューラルネットワーク文法による日本語fMRIデータのモデリング, 言語処理学会第29回年次大会発表論文集, 2023, 2594-2599 BibTeX
  9. 9. *山下陽一郎, 原田宥都, 大関洋平, 人間らしい予測処理機構を取り入れた質問応答モデルの提案: 早押しクイズのパラレル問題を題材として, 言語処理学会第29回年次大会発表論文集, 2023, 2891-2896 BibTeX
  10. 10. *染谷大河, 吉田遼, 中石海, 大関洋平, チョムスキー階層とニューラル言語モデル, 言語処理学会第29回年次大会発表論文集, 2023, 2973-2977 BibTeX
  11. 11. *梶川康平, 吉田遼, 大関洋平, CCGによる日本語文処理のモデリング, 言語処理学会第29回年次大会発表論文集, 2023, 2984-2989 BibTeX
  12. 12. *蔭山智, 鈴木雅大, 落合桂一, 松尾豊, 顔の角度情報を用いたDeepFake動画の検出手法の提案, 電子情報通信学会和文論文, 2023, J106-D, 4, reviewed BibTeX
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  26. 26. *栗林樹生, 大関洋平, Ana Brassard, 乾健太郎, ニューラル言語モデルの過剰な作業記憶, 言語処理学会第28回年次大会発表論文集, 2022, 1530-1535 BibTeX
  27. 27. *石月由紀子, 栗林樹生, 松林優一郎, 大関洋平, 情報量に基づく日本語項省略の分析, 言語処理学会第28回年次大会発表論文集, 2022, 442-447 BibTeX
  28. 28. 庄野 逸, ディープラーニングにおけるビルディングブロックの発展と展望, 電子情報通信学会誌, 2022, 10, 5, 136-142, invited BibTeX
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  33. 33. 能地宏, 大関洋平, 再帰的ニューラルネットワーク文法の並列化, 言語処理学会第27回年次大会発表論文集, 2021, 937-941, & BibTeX
  34. 34. 栗林樹生, 大関洋平, 伊藤拓海, 吉田遼, 浅原正幸, 乾健太郎, 日本語の読みやすさに対する情報量に基づいた統一的な解釈, 言語処理学会第27回年次大会発表論文集, 2021, 723-728, & BibTeX
  35. 35. 吉田遼, 能地宏, 大関洋平, 再帰的ニューラルネットワーク文法による人間の文処理のモデリング, 言語処理学会第27回年次大会発表論文集, 2021, 273-278, & BibTeX
  36. 36. 栗林樹生, 大関洋平, 伊藤拓海, 吉田遼, 浅原正幸, 乾健太郎, 予測の正確な言語モデルがヒトらしいとは限らない, 言語処理学会第27回年次大会発表論文集, 2021, 267-272, & BibTeX
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  47. 47. *Hayakawa T, Fukai T, Spontaneous and stimulus-induced coherent states of critically balanced neuronal networks., Physical Review Research, 2020, 2, 13253, reviewed BibTeX
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  49. 49. 出井 勇人、村田 真悟、尾形 哲也、山下 祐一*, 不確実性の推定と自閉スペクトラム症-神経ロボティクス実験による症状シミュレーション, 精神医学, 2020, 62, 219-229, reviewed& BibTeX
  50. 50. 井澤淳, 脳の計算理論からリハビリテーションロボットへの応用, The Japanese Journal of Rehabilitation Medicine, 2020, 57, 1, 56-63, invited BibTeX
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  72. 72. 會下拓実, 柳井啓司, CNN 特徴量学習に基づく画像検索による食事画像カロリー量推定, 電子情報通信学会論文誌 D, 2018, J101-D, 8, -, reviewed# BibTeX
  73. 73. 栁澤琢史, MEG-BMIによる幻肢痛の病態解明と治療法の開発, ペインクリニック, 2018, 39, 7, 935-940, invited BibTeX
  74. 74. 野口真生、藤本蒼、小村豊*, メタ認知からみた意識の生物学, 人工知能学会誌, 2018, 33, 4, 468-471, reviewed,invited& BibTeX
  75. 75. 栁澤琢史, ブレインマシンインターフェイスによる脳機能の再建と修飾, バイオサイエンスとインダストリー, 2018, 76, 3, 264-265, invited BibTeX
  76. 76. *鈴木雅大, 松尾豊, 異なるモダリティ間の双方向生成のための深層生成モデル, 情報処理学会論文誌, 2018, 59, 3, 859-873, reviewed BibTeX
  77. 77. *疋田貴俊, 意思決定と薬物依存における大脳基底核神経回路機構, 日本生物学的精神医学会誌, 2018, 29, 1, 40-43, invited BibTeX
  78. 78. 森本淳, ヒト動作の模倣によるヒト型ロボット動作学習, 生体の科学, 2018, 69, 1, 51-53, &# BibTeX
  79. 79. 三木寛隆、*高橋英彦, 共感と司法精神医学, 生体の科学, 2018, 69, 68-72, invited & BibTeX
  80. 80. 栁澤琢史, BMIによる幻肢痛の病態解明と新たな治療法開発, 機能的脳神経外科, 2017, 56, 41-45, invited BibTeX
  81. 81. 田中慎吾、坂上雅道, 推移的推論の脳メカニズム－汎用人工知能の計算理論構築をめざして－, 人工知能, 2017, 32, 6, 845 BibTeX
  82. 82. 栁澤琢史, 幻肢痛をBMIで治す, Clinical Neuroscience, 2017, 35, 1, 356-7, invited BibTeX
  83. 83. *疋田貴俊, 神経回路から精神疾患病態へ, 日本生物学的精神医学会誌, 2017, 28, 3, 132-134, invited# BibTeX
  84. 84. 松尾真, 柳井啓司, Neural Style Vectorを用いた絵画画像のスタイル検索, 電子情報通信学会論文誌 D, 2017, J100-D, 8, 742-749, reviewed BibTeX
  85. 85. 新國彰彦、小村豊*, 注意のスポットライトと視床, Clinical Neuroscience, 2017, 35, 945-948, ＆ BibTeX
  86. 86. 栁澤琢史、福間良平1,3)、Ben Seymour 9)、細見晃一1,5) 、清水豪士1,5)、貴島晴彦1)、平田雅之1,2)、横井浩史7) 、吉峰俊樹2,8)、神谷之康3,6)、齋藤洋一, 皮質可塑性の制御による幻肢痛の病態解明と治療, Pain Research, 2017, 33, 26-31, invited BibTeX
  87. 87. *疋田貴俊、森田真規子、Macpherson T, 認知学習における大脳基底核神経回路機構, 日本神経精神薬理学雑誌, 2017, 37, 35-38, invitedreviewed BibTeX
  88. 88. 中原裕之, 社会知性を実現する脳計算システムの解明： 人工知能の実現に向けて, 人工知能学会誌, 2017, 32, 6, 863-872, reviewed, invited, & BibTeX
  89. 89. So Fujimoto, Yutaka Komura*, The map of auditory function, Brain and Nerve, 2017, 69, 471-478, ＆ BibTeX
  90. 90. 内部英治，王潔心, ロボット制御のための決定論的方策探査法, 日本神経回路学会誌, 2017, 24, 4, 195-203, invited# BibTeX
  91. 91. *高橋英彦, ギャンブル依存症の神経メカニズム, 医学のあゆみ, 2017, 263, 672-673, invited & BibTeX
  92. 92. 田中慎吾、小口峰樹、坂上雅道, 前頭連合野の認知機能　推移的推論と前頭前野外側部, BRAIN and NEVER,医学書院, 2016, 68, 11, 1263-1270, reviewed BibTeX
  93. 93. *疋田貴俊, 大脳基底核神経回路からみた薬物依存症の病態, 精神科臨床Legato, 2016, 2, 4, 190-192, invited BibTeX
  94. 94. *中山浩太郎, 松尾豊, GeSdA – GPU上でのAutoencoder処理並列化による高速Deep Learningの実装, 情報処理学会論文誌, 2016, 9, 2, 46-54 BibTeX

国際会議 講演・発表

  1. 1. Takashi Ikegami, machine learning and consciousness, mini symposium at the Barbican center London, 2019, London, UK, invited BibTeX
  2. 2. Han, Dongqi, Doya, Kenji and Tani, Jun, Variational recurrent models for solving partially observable control tasks, Eighth International Conference on Learning Representations (ICLR 2020), 2020, online, Poster BibTeX
  3. 3. Ota S, Doya K, Intrinsic motivation in creative activity: A human behavioral experiment for identifying the factors that influence intrinsic motivation., WIML, NeurIPS, 2019, 2019/12/8-12/14, Vancouver, CANADA, oral BibTeX
  4. 4. Doya K, Toward whole-brain multi-scale modeling, New Balance Nationals Indoor (NBNI2019), 2019, 2019/11/22-11/24, Chongqing, China, oral BibTeX
  5. 5. Miyazaki KW, Miyazaki K, Yamanaka A, Tanaka KF, Doya K, Stimulation of serotonergic terminals in the orbitofrontal and medial prefrontal cortices differentially affects waiting for the future rewards, Society for Neuroscience(SfN 2019), 2019, 2019/10/19-10/23, Chicago, USA, poster BibTeX
  6. 6. Ota S, Doya K, Intrinsic motivation in play: Preliminary experiment for analyzing how learning environmental condition influences intrinsic motivation, International Conference on Cognitive Science (ICCS 2019), 2019, 2019/8/22-8/24, Seuol, KOREA, poster BibTeX
  7. 7. Doya K, Neural circuits for reinforcement learning and mental simulation, 5th Coreto Core International Symposium “3D LabExchange Program”, 2019, 2019/2/25-2/27, OIST, invited BibTeX
  8. 8. Yamane Y, Ito J, Joana C, Fujita I, Tamura H, Maldonado P, Doya K, Grun S, Representation of fixated objects by multiple single unit activity in visual cortices of freely viewing macaque monkeys, 11th FENS Forum of Neuroscience, 2018, 2018/7/7-7/11, Berlin, Germany, Poster BibTeX
  9. 9. Yoshiko Kawabata, Toshihiko Matsuka, Aizuchi as a sign of internal information processing and its interpretations by listeners, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021, Tokyo, Japan, ISBN: 978-988147689-0,　https://ieeexplore.ieee.org/document/9689367 BibTeX
  10. 10. Kuangzhe Xu, Noriko Nagata, Toshihiko Matsuka, Modeling the dynamics of observational behaviors base on observers’ personality traits using hidden Markov Models, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021, 2021, Tokyo, Japan, ISBN: 978-988147689-0,　https://ieeexplore.ieee.org/document/9689653 BibTeX
  11. 11. Rikunari Sagara, *Ryo Taguchi, Akira Taniguchi, Tadahiro Taniguchi, Simultaneous Learning of Relative and Absolute Spatial Concepts Without Any Prior Distinction, IEEE 10th Global Conference on Consumer Electronics, 2021, Kyoto, Japan BibTeX
  12. 12. Thomas F Burns and Tomoki Fukai, Simplicial Hopfield networks, The Eleventh International Conference on Learning Representations (ICLR2023), 2023, Kigali, Ruwanda, poster BibTeX
  13. 13. Miyazaki K, Serotonin mechanism for regulating reward waiting behavior, The 100th Anniversary Annual Meeting of The Physiological Society of Japan, 2023, 京都府、日本, Oral Presentation BibTeX
  14. 14. *Hamaguchi K, Prospective value representation in mouse frontal cortex supports predictive choice behavior, Annual Meeting of The Physiological Society of Japan, 2023, Kyoto, Japan, poster BibTeX
  15. 15. Yohei Oseki, Building machines that process natural language like humans, Princeton University NLP Group, 2023, Princeton, USA, invited BibTeX
  16. 16. Doya K, Neural Circuits for Reinforcement Learning and Mental Simulation, The Taiwan Society of Cognitive Neuroscience Meeting (TSCN), 2023, Taiwan, Invited Speaker BibTeX
  17. 17. Yohei Oseki, Building machines that process natural language like humans, Michigan State University Colloquium, 2023, Zoom, Online, invited BibTeX
  18. 18. *Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo, Improving the Robustness to Variations of Objects and Instructions with A Neuro-Symbolic Approach for Interactive Instruction Following., the 29th International Conference on MultiMedia Modeling, 2023, Bergen, Norway, reviewed BibTeX
  19. 19. *Ozawa T, Umemoto K, Nakamura M, Iwamoto R, Matsumoto Y, Shibata T, Oyama Y, Macpherson T, Hikida T, Analysis of dopamine dynamics in cortex, striatum, and amygdala during differential auditory fear conditioning in mice, IRCN-iPlasticity International Symposium, 2023, Tokyo, Japan, poster BibTeX
  20. 20. *Li Y, Doya K, Neural connectivity among different layers changes at different brain states, Workshop on the Mechanism of Brain and Mind, 2023, 北海道 ルスツ, poster BibTeX
  21. 21. *Desforges M, Flotho P, Kuhn B,Doya K, Two-photon imaging of extracellular neuromodulator activity reveals spatiotemporal, Workshop on Mechanism of Brain and Mind, 2023, 北海道 ルスツ, poster BibTeX
  22. 22. *Matsumoto H, Mizuseki K. , Dopamine neurons convey distinct motivational signals in a self-paced decision-making task, Annual Meeting of The Physiological Society of Japan., 2023 BibTeX
  23. 23. *Hikida T, Aomine Y, Sakurai K, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Oka M, Motivational increase and brain network variation based on functional connectivity in Importin α3 (KPNA3) deficient mice, 61st Annual Meeting of Neuropsychopharmacology, 2022, online, poster BibTeX
  24. 24. Doya K, What is takes to create a humanoid, Humanoids2022, 2022, 沖縄県、日本, Invited Speaker BibTeX
  25. 25. *Macpherson T, Striatal mechanisms of discrimination learning and their dysfunction in schizophrenia model mice, Neuroscience 2022, 2022, San Diego, USA, invited BibTeX
  26. 26. *Sakurai K, Kasahara E, Ozawa T, Macpherson T, Miyamoto Y, Yoneda Y, Sekiyama A, Oka M, Hikida T, Effects of Importin α1(KPNA1) depletion and adolescent social stress on psychiatric disorder-associated behaviors in mice, Neuroscience 2022, 2022, San Diego, USA, poster BibTeX
  27. 27. *Aomine Y, Sakurai K, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Oka M, Hikida T, Motivational increase and brain network variation based on functional connectivity in Importin α3 (KPNA3) deficient mice, Neuroscience 2022, 2022, San Diego, USA, poster BibTeX
  28. 28. *Desforges M, Flotho P, Kuhn B, Doya K, Simultaneous recording of neuromodulator and calcium spatiotemporal activity reveals, Societyn for Neuroscience Annual Meeting, 2022, San Diego, poster BibTeX
  29. 29. *Macpherson T, Hikida T, Cell type-specific control of reward learning in the brain, Effects of Importin α1(KPNA1) depletion and adolescent social stress on psychiatric disorder-associated behaviors in mice.E13, 2022, Kanazawa, Japan, oral BibTeX
  30. 30. *Lalande F, Doya K, Numerical data imputation: choose kNN over deep learning, SISAP 2022, 2022, Bologna, Italy, Oral Presentation + poster BibTeX
  31. 31. *Hikida T, Nishioka T, Macpherson T, Hamaguchi K, Neural mechanisms for the strategy to avoid a choice that leads to negative outcome in visual discrimination learning, 4th International Touchscreen Symposium, 2022, online, invited BibTeX
  32. 32. *Macpherson T, Attachaipanich S, Nishioka T, Hikida T, Nucleus accumbens subpopulations cooperatively signal reward and aversion, 4th Japan-UK Neuroscience Symposium 2022, 2022, Karuizawa, Japan, poster BibTeX
  33. 33. Tadahiro Taniguchi, Metropolis-Hasting naming game for symbol emergence, 3rd SMILES WORKSHOP, satellite ICDL 2022,, 2022, London, UK, oral BibTeX
  34. 34. *Akira Taniguchi, Maoko Muro, Hiroshi Yamakawa, Tadahiro Taniguchi, Brain-inspired probabilistic generative model for double articulation analysis of spoken language, IEEE International Conference on Development and Learning (ICDL 2022), 2022, London, UK BibTeX
  35. 35. Doya K, Data-Driven and Theory-Driven Approaches in Neuroscience, 2nd Taiwan Society for Neuroscience Meeting, 2022, online, Invited Speaker BibTeX
  36. 36. *Ayaka Matsumoto, Chenqi Zhang, Akihiro Isozaki, Keisuke Goda, Yu Toyoshima, Yuichi Iino, Investigating how worms integrate sensory and motor information in salt klinotaxis, CeNeuro2022 (C. elegans Topic Meeting: Neuronal Development, Synaptic Function and Behavior), 2022, Vienna, Austria BibTeX
  37. 37. Shingo Hiroki, Hirofumi Sato, Yu Toyoshima, Llian Mabardi, Hikari Yoshitane, Hinako Mitsui, Manami Kanamori, Chie Umatani, Shinji Kanda, Mashiro Tomoioka, Koichi Hashimoto, Hirofumi Kunitomo, Yoshitaka Fukada, Takeshi Ishihara & *Yuichi Iino, Molecules and neural network underlying salt preference, CeNeuro2022 (C. elegans Topic Meeting: Neuronal Development, Synaptic Function and Behavior), 2022, Vienna, Austria BibTeX
  38. 38. Tadahiro Taniguchi, Consciousness and Symbol Emergence Systems, International Symposium on Artificial Intelligence and Brain Science 2022, 2022, Okinawa, Japan, invited BibTeX
  39. 39. *Macpherson T, Neural circuit mechanisms in behavioral flexibility, International Symposium on Artificial Intelligence and Brain Science 2022, 2022, Okinawa, Japan, invited BibTeX
  40. 40. *Li Y, Doya K, Dual Bayesian PCA for Factor Analysis on Calcium imaging data., The 45th Annual Meeting of the Japan Neuroscience Society (Neuron 2022), 2022, 沖縄県、日本, poster BibTeX
  41. 41. Doya K, Serotonin and model-based decision making, the Reward and Decision-Making meeting, 2022, Lake Arrowhead, USA, Invited Speaker BibTeX
  42. 42. *Han D, Kozuno T, Luo X, Chen Z, Doya K, Yang Y, Li D, Variational oracle guiding for reinforcement learning, International Conference on Learning Representations (ICLR2022), 2022, online, poster BibTeX
  43. 43. *Hiroki Furuta, Yutaka Matsuo, and Shixiang Shane Gu, Generalized Decision Transformer for Offline Hindsight Information Matching, International Conference on Learning Representations 2021, 2022, Rwanda, reviewed BibTeX
  44. 44. Yohei Oseki, Building machines that process natural language like humans, Rutgers University Colloquium, 2022, Zoom, Online, invited BibTeX
  45. 45. Doya K, Embodied agents for survival, reproduction, and prediction, International Conference on Embodied Intelligence, 2022, online BibTeX
  46. 46. Doya K, Canonical Cortical Circuits and the Duality of Inference and Control, 43rd Annual Meeting, National Institute of Neuroscience, 2022, online, Invited lecture BibTeX
  47. 47. Doya K, Context-dependent interaction of dopamine and serotonin, COSYNE2022 Neuromodulation Workshop, 2022, online, Invited lecture BibTeX
  48. 48. Taira M, Serotonergic Control of Model-based Decision Making, COSYNE2022, 2022, online, Poster presentation BibTeX
  49. 49. *Hamaguchi K, From retrospective to prospective: integrated value representation in frontal cortex for predictive choice behavior, International Symposium on Development and Plasticity of Neural Systems, 2022, Online, poster BibTeX
  50. 50. Doya K, Neural Circuits for Mental Simulation, 8th Annual Conference of Cognitive Science, 2022, online, Invited lecture BibTeX
  51. 51. *Jing Wang, Lotfi El Hafi, Akira Taniguchi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, Extending HoloGAN by Embedding Image Content into Latent Vectors for Novel View Synthesis, IEEE/SICE International Symposium on System Integration (SII 2022), 2022, Narvik, Norway (Virtual) BibTeX
  52. 52. *Matsumoto H, Pathway-specific signals of midbrain dopamine neurons in reward-based decisions, The NIPS Research Meeting, 2022, invited BibTeX
  53. 53. Yohei Oseki, Human language processing in comparative computational psycholinguistics, Dongguk University Colloquium, 2022, Zoom, Online, invited BibTeX
  54. 54. Nishioka T, Macpherson T, Hamaguchi K, *Hikida T, Distinct Roles of Dopamine D1 and D2 Receptor-expressing Neurons in the Nucleus Accumbens for a Strategy Dependent Decision Making, 60th Annual Meeting of the American College of Neuropsychopharmacology, 2021, online, reviewed poster BibTeX
  55. 55. Doya K, Natural and artificial reinforcement learning, Deep Reinforcement Learning Workshop, NeurIPS2021, 2021, online, Invited lecture BibTeX
  56. 56. *Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, and Shixiang Shane Gu, Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning, Neural Information Processing Systems 2021, 2021, Virtual, reviewed BibTeX
  57. 57. *Yusuke Iwasawa, Yutaka Matsuo, Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization, Neural Information Processing Systems 2021, 2021, Virtual, reviewed BibTeX
  58. 58. Yihao Wu, Jun Izawa, The regret motivated reinforcement learning, 2021 International Symposium on Micro-NanoMehatronics and Human Science (MHS), 2021, Nagoya,Japan, reviewed BibTeX
  59. 59. *Asuka Moritani, Ryo Ozaki, Shoki Sakamoto, Hirokazu Kameoka, Tadahiro Taniguchi, StarGAN-based Emotional Voice Conversion for Japanese Phrases, Asia-Pacific Signal and Information Processing Association (APSIPA 2021), 2021, Tokyo, Japan BibTeX
  60. 60. Tadahiro Taniguchi, Generative Models for Symbol Emergence based on Real-World Sensory-motor Information and Communication, The 15th International Symposium on Computer Music Multidisciplinary Research (CMMR 2021), 2021, Online, keynote BibTeX
  61. 61. Abekawa N, Gomi H, Static and dynamic gaze states are separately linked with motor learning of reaching movements, Neuroscience 2021, 2021, online BibTeX
  62. 62. De Havas J, Ito S, Bestmann S, Gomi H, Parietal contributions to illusory tactile pulling sensations, Neuroscience 2021, 2021, online BibTeX
  63. 63. Gomi H, Abekawa N, Doya K, Bayesian visuomotor-reflex modulation by remote state instabilities, Neuroscience 2021, 2021, online BibTeX
  64. 64. *Nishioka T, Macpherson T, Hamaguchi K, Hikida T, Distinct Roles of Dopamine D1 and D2 Receptor-expressing Neurons in the Nucleus Accumbens for a Strategy Dependent Decision Making, Neuroscience 2021, 50th Annual meeting of Society for Neuroscience, 2021, online, reviewed poster BibTeX
  65. 65. Doya K, The duality of inference and control as a key to understanding canonical cortical circuits, RIKEN-OIST symposium, 2021, online, Invited lecture BibTeX
  66. 66. *Rikunari Sagara, Ryo Taguchi, Akira Taniguchi, and Tadahiro Taniguchi, Simultaneous Learning of Relative and Absolute Spatial Concepts Without Any Prior Distinction, IEEE 10th Global Conference on Consumer Electronics (GCCE 2021), 2021, Online, https://ieeexplore.ieee.org/document/9621937 BibTeX
  67. 67. *Li Y, Doya K, Investigation of information flow and temporal-spatial organization of neurons across cortical layers from multi-depth two-photon imaging data, JNNS2021, 2021, online, Poster presentation BibTeX
  68. 68. *Shoki Sakamoto, Akira Taniguchi, Tadahiro Taniguchi, and Hirokazu Kameoka, StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition, INTERSPEECH 2021, 2021, Online BibTeX
  69. 69. Yohei Oseki, Human language processing in comparative computational psycholinguistics, Issues in Japanese Psycholinguistics from Comparative Perspectives (IJPCP), 2021, Zoom, Online, invited BibTeX
  70. 70. Doya K, The duality of control and inference as a clue for cracking the codes of frontal and sensory cortical architectures, CJK Symposium 17, Theoretical Brain, The 44th annual meeting of the Japan Neuroscience Society, 2021, online, Invited lecture BibTeX
  71. 71. Taira M, The effect of photoinhibition of dorsal raphe serotonin neurons on stationary waiting and sustained motor actions for future rewards, The 44th annual meeting of the Japan Neuroscience Society, 2021, Kobe Convention Center BibTeX
  72. 72. Tadahiro Taniguchi, Symbol Emergence in Robotics: Probabilistic Generative Models for Realizing Real-world Cognition, Fifth International Workshop on Symbolic-Neural Learning (SNL-2021), 2021, Online, invited BibTeX
  73. 73. Hamaguchi K, Aoki-Takahashi H, *Watanabe D, Prospective action selection and inferred value in mouse frontal cortex, The 44th Annual Meeting of the Japan Neuroscience Society, 2021, Kobe, Japan, poster BibTeX
  74. 74. *Tadahiro Taniguchi, Lotfi El Hafi, Yoshinobu Hagiwara, Akira Taniguchi, Nobutaka Shimada, and Takanobu Nishiura, Development of Semiotically Adaptive Cognition For Realizing Remotely Operated Service Robots in New Normal Society, IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO), 2021, Online BibTeX
  75. 75. *Shingo Hiroki, Hikari Yoshitane, Yoshitaka Fukada, Masahiro Tomioka, Muneki Ikeda, Ikue Mori, Yuichi Iino, Molecular Encoding and Synaptic Decoding of Memory of Chemical Concentration in C. elegans, 23rd International C. elegans Conference, 2021, Online BibTeX
  76. 76. Yohei Oseki, Reverse-engineering human language processing, Joint Workshop on Linguistics & Language Processing (JWLLP), 2021, Zoom, Online, invited BibTeX
  77. 77. Doya K, Duality of control and inference and the cortical circuit architecture, SBDM 2021, 2021, online, Invited lecture BibTeX
  78. 78. *Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo, Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning, Learning for Dynamics and Control, 2021, Virtual, reviewed BibTeX
  79. 79. *Mimura K, Unsupervised temporal segmentation of marmoset goal-directed behavior, 10th International Symposium on Biology of Decision-Making, 2021, Paris, France, invited / oral BibTeX
  80. 80. Doya K, What can we learn from the brain for future AI?, Brain2AI Workshop, International Conference on Learning Representations (ICLR 2021), 2021, online, Invited lecture BibTeX
  81. 81. *Haruo Hosoya, CIGMO: Learning categorical invariant deep generative models from grouped data, ICLR Workshop on Weakly Supervised Learning, 2021, online, reviewed poster BibTeX
  82. 82. *Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, and Shixiang Shane Gu, Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization, International Conference on Learning Representations 2021, 2021, Virtual, reviewed BibTeX
  83. 83. *Uchida Y, Hikida T, Yamashita Y, Oral perceptions as expected changes in internal states: computational modeling of altered nutrient intake in psychiatric disorders and proposal of a possible treatment strategy, Society of Biological Psychiatry 2021 virtual meeting, 2021, online, reviewed poster BibTeX
  84. 84. *Gomi H, Abekawa N, Postural instability context implicitly enhances visually-induced reflexive reaching control without explicit assistance of voluntary action., Neural Control of Movement 2021 (NCM2021), 2021, online, poster BibTeX
  85. 85. Morioka H, Hermanni H, Hyvärinen A, Independent Innovation Analysis for Nonlinear Vector Autoregressive Process, 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), 2021, Online, reviewed, oral BibTeX
  86. 86. Takashi Ikegami, Offloaded Mind: the experiments of dyadic humanoid/human interaction, 2021 International Workshop on Embodied Intelligence, 2021, online, keynote BibTeX
  87. 87. *Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, and Shixiang Shane Gu, Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning, International Conference on Machine Learning 2021, 2021, Virtual, reviewed BibTeX
  88. 88. Kasahara, Kazumi, Nakamura, Tatsuhiro, Uehara, Kazumasa, Ogata, Yusuke, Doya, Kenji and Hanakawa, Takashi, Effects of transcranial direct current stimulation in brain-computer interface, 2021 IEEE 3rd Global Conference on life science and technology (LifeTech 2021), 2021, online, Poster BibTeX
  89. 89. *Edison Marrese-Taylor, Machel Reid and Yutaka Matsuo, Variational Inference for Learning Representations of Natural Language Edits, The Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021, Virtual, reviewed BibTeX
  90. 90. Kawashima T, Shouno H, *Hino H, Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization, 35th AAAI Conference on Artificial Intelligence (AAAI’21), 2021, reviewed, poster BibTeX
  91. 91. Doya, Kenji, Neural circuit for mental simulation, China-Japan Expert Symposium on Brain Science, 2021, online, invited BibTeX
  92. 92. *Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo, Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective, the 29th International Joint Conference on Artificial Intelligence, 2021, Virtual, reviewed BibTeX
  93. 93. Kaede Hayashi, Wenru Zheng, Lotfi El Hafi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, Bidirectional Generation of Object Images and Positionsusing Deep Generative Models for Service Robotics Applications, IEEE/SICE International Symposium on System Integration (SII 2021), 2021, Iwate, Japan (virtual), reviewed BibTeX
  94. 94. Ryo Yoshino, Toshiaki Takano, Hiroki Tanaka, and Tadahiro Taniguchi, Active Exploration for Unsupervised Object Categorization Based on Multimodal Hierarchical Dirichlet Process, 2021 IEEE/SICE International Symposium on System Integration (SII 2021), 2021, Iwate, Japan (virtual), reviewed BibTeX
  95. 95. Negrete SB, Labuguen R, Matsumoto J, Go Y, Inoue K, Shibata T, Multiple Monkey Pose Estimation Using OpenPose, 25th INternational Conference on Pattern recognition (IPCR 2021), 2021, Milano, Italy, poster BibTeX
  96. 96. *Matsumoto H, Mizuseki K, athway-specific roles of midbrain dopamine neurons in reward-based decisions, The 44th Annual Meeting of the Japan Neuroscience Society, 2021 BibTeX
  97. 97. Yohei Oseki, Towards computational cognitive neuroscience of language, What is the role of next generation of cognitive robotics?, 2020, Zoom, Online, invited BibTeX
  98. 98. *Sugiyama M, Tsuda K, Nakahara H, Sample Space Truncation on Boltzmann Machines, NeurIPS 2020 Workshop: Deep Learning through Information Geometry, 2020, online, reviewed, poster BibTeX
  99. 99. Vieillard, Nino, Kozuno, Tadashi, Scherrer, Bruno, Pietquin, Olivier, Munos, Remi and Geist, Matthieu, Leverage the average: an analysis of KL regularization in reinforcement learning, Neural Information Processing Systems Online Conference 2020 (NeurIPS 2020), 2020, online, oral BibTeX
  100. 100. Shimizu, Yu, Yoshimoto, Junichiro, Takamura, Masahiro, Okada, Go, Matsumoto, Tomoya, Fuchikami, Manabu, Okada, Satoshi, Morinobu, Shigeru, Okamoto, Yasumasa, Yamawaki, Shigeto and Doya, Kenji, Maximum credibility voting (MCV): An integrative approach for accurate diagnosis of major depressive disorder from clinically readily available data, APSIPA 2020 online, 2020, online, oral BibTeX
  101. 101. *Hikida T, Kim J, Macpherson T, Nucleus accumbens D2-receptor-expressing neurons regulate reversal learning in the Attentional Set Shifting Test, 59th Annual Meeting of the American College of Neuropsychopharmacolog, 2020, poster BibTeX
  102. 102. Sugiura, Iori, Irei, Tsukasa, Doya, Kenji, Kurata, Koji and Miyata, Ryota, Effects of the neural activity in basal ganglia on the choice behavior in rats, The 30th Annual Conference of Japanese Neural Network Society (JNNS2020), 2020, online, oral BibTeX
  103. 103. Doya, Kenji, AI and brain science, 2020 IEEE CIS Summer School on Emerging Research Trends in Computational Intelligence: Theory and Applications, 2020, online, invited BibTeX
  104. 104. Tomoki Fukai, Rate and temporal coding perspectives of motor processing in cortical microcircuits, Online Workshop Series Neural Control: From data to machines, 2020, online, oral, invited BibTeX
  105. 105. Tomoki Fukai, Rate and temporal coding perspectives of motor processing in cortical microcircuits, Online Workshop Series Neural Control: From data to machines, 2020, online, oral, invited BibTeX
  106. 106. Li, Yuzhe and Doya, Kenji, Extracting information flow across cortical layers from multi-depth two-photon imaging data, 第63回自動制御連合講演会, 2020, online, invited BibTeX
  107. 107. Hamano Y, *Shouno H, Analysis of Texture Representation in Convolution Neural Network Using Wavelet Based Joint Statistics., The 27th International Conference on Neural Information Processing (ICONIP2020), 2020, 1, Bangkok, Thai, reviewed, oral BibTeX
  108. 108. Doya, Kenji, Communication and Self-organization of Intelligent Agents, NOLTA 2020, 2020, online, invited BibTeX
  109. 109. Yohei Oseki, Building machines that process and learn natural language like people, Logic and Engineering of Natural Language Semantics (LENLS), 2020, Zoom, Online, invited BibTeX
  110. 110. Yuki Katsumata, Akira Taniguchi, Lotfi El Hafi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, SpCoMapGAN: Spatial Concept Formation-based Semantic Mapping with Generative Adversarial Networks, IEEE International Conference on Intelligent Robots and Systems (IROS), 2020, Las Vegas, USA (virtual), reviewed BibTeX
  111. 111. Uchibe E, Latent brain dynamics estimation and deep generative imitation learning, 31st U.S.-Japan Technology Forum, 2020, online, oral, invited BibTeX
  112. 112. Doya, Kenji, Toward the society of AI agents: what should we learn from the brain and human society, International Symposium on Artificial Intelligence and Brain Science, 2020, online, invited BibTeX
  113. 113. Hidehiko Takahashi, Interface between AI and schizophrenia research, International Symposium on Artificial Intelligence and Brain Science, 2020, Tokyo, Japan, invited BibTeX
  114. 114. Tadahiro Taniguchi, Symbol Emergence in Robotics: Pursuing Integrative Cognitive Architecture using Probabilistic Generative Models for Real-world Language Acquisition, International Symposium on Artificial Intelligence and Brain Science, 2020, Online, Japan, invited BibTeX
  115. 115. *Nakahara H, Neural Computations for Making Decisions with Others’ Rewards and Decisions, International Symposium on Artificial Intelligence and Brain Science, 2020, online, oral, invited BibTeX
  116. 116. Nishioka T, Hikida T, Choose a good option or avoid a bad option: D2-MSN in the NAc selectively contributes to the strategy to avoid a bad option under decision, International Symposium on Artificial Intelligence and Brain Science, 2020, poster BibTeX
  117. 117. Uchibe E, Parallel deep reinforcement learning with model-free and model-based methods, International Symposium on Artificial Intelligence and Brain Science, 2020, online, poster BibTeX
  118. 118. Idei H, Murata S, *Yamashita Y, *Ogata T, Unusual paradoxical sensory reactivities induced by functional disconnection: An embodied predictive processing model of neurodevelopmental disorder, International Symposium on Artificial Intelligence and Brain Science, 2020, Tokyo, Japan, poster BibTeX
  119. 119. Soda T, Ahmadi A, Tani J, Hoshino M, Honda M, Hanakawa T, *Yamashita Y, Early stopping effects stochastic dynamics and flexible prediction in variational recurrent neural network model, International Symposium on Artificial Intelligence and Brain Science, 2020, Tokyo, Japan, poster BibTeX
  120. 120. Yamaguchi H, Hashimoto Y, Sugihara G, Miyata J, Murai T, Takahashi H, Honda M, *Yamashita Y, Feature extraction for Schizophrenia brain image using Convolutional neural network, International Symposium on Artificial Intelligence and Brain Science, 2020, Tokyo, Japan, poster BibTeX
  121. 121. *Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, and Yutaka Matsuo, Group Equivariant Conditional Neural Processes, International Conference on Learning Representations 2021, 2020, Virtual, reviewed BibTeX
  122. 122. Li, Yuzhe and Doya, Kenji, Neuron hubs distributed differently in deep layers and superficial layers in different brain states, The 1st Asia-Pacific Computational and Cognitive Neuroscience Conference. (2020 AP-CCN), 2020, online, Poster BibTeX
  123. 123. Doya, Kenji, What can we further learn from the brain for artificial intelligence?, Neurotheory Forum, 2020, online, invited BibTeX
  124. 124. Doya, Kenji, How to let robots learn, develop, communicate and evolve, Latin American Summer School on Cognitive Robotics (LACORO), 2020, online, invited BibTeX
  125. 125. Inoue K, Pathway-selective activity manipulation in the primate brain by means of modified viral vectors, 7th ESI Systems Neuroscience Conference 2020 (ESI SyNC 2020), 2020, Online, invited BibTeX
  126. 126. *Gupta S, Tanaka K, Waggoner RA, Brain Mechanisms of intuitive problem solving in experts, Validation of RF induced temperature increase in phantom and in living human tissue: a comparison study, 2020, reviewed oral BibTeX
  127. 127. *Waggoner RA, Feiweier T, Tanaka K, Enhancement of event-related fMRI studies of the human visual system using multi-band EPI, The use of stimulated-echo EPI to obtain high b-value DTI data at short TEs on a clinical scanner, 2020, reviewed posterl BibTeX
  128. 128. Haga Y , Hata J, Kaneko T, Yamada T, Komaki Y, Seki F, Okano H, Okano JH, Yamamori T, Ichinohe N, Yamashita Y, Furukawa A, and *Komatsu M, Resting-State Functional Connectome Analysis of Awake Common Marmoset with Functional MRI and Electrocorticographic, International Society for Magnetic Resonance in Medicine, 2020, Online, poster BibTeX
  129. 129. Komatsu M, Hierarchical predictions in the marmoset cerebral cortex, the 43th Annual Meeting of the Japan Neuroscience Society, 2020, Online, symposium BibTeX
  130. 130. *大村優，岩見謙太郎，笹森瞳，杉浦千瑛，Youcef Bouchekioua, 西谷直也，吉岡充弘, 背側縫線核セロトニン神経活動の抑制はモデルベース的意思決定を抑制する, 第43回日本神経科学大会, 2020, Online, psoter BibTeX
  131. 131. Doya, Kenji, What can we further learn from the brain for artificial intelligence, Neuroscience2020, 2020, online, invited BibTeX
  132. 132. Hikishima-Kasahara, Kazumi and Doya, Kenji, Changes in the basal ganglia-thalamic functional connectivity induced by longitudinal motor training in mice, Neuroscience 2020, 2020, online, oral BibTeX
  133. 133. Mineki Oguchi, Jiang Jiasen, Toshihide W Yoshioka, Yasuhiro Tanaka, Kenichi Inoue, Masahiko Takada, Takefumi Kikusui, Kensaku Nomoto, Masamichi Sakagami, Endomicroscopic Calcium Imaging from the Macaque Primary Visual Cortex, 第43回日本神経科学大会, 2020, web, poster BibTeX
  134. 134. Li, Yuzhe and Doya, Kenji, Investigation of temporal and spatial origination of neural network in sensory cortex., The 30th Annual Conference of Japanese Neural Network Society (JNNS2020), 2020, online, Poster BibTeX
  135. 135. *Miyawaki H, Mizuseki K, Dynamics of inter-regional cellular interactions during slow-wave sleep., The Annual Meeting of the Japan Neuroscience Society, 2020, On line, oral BibTeX
  136. 136. Ichigozaki S, Kawashima T, *Shouno H, Bayesian Sparse Covariance Structure Analysis for Correlated Count Data, The 26th Int’l Conf on Parallel and Distributed Processing Techniques and Applications (PDPTA20), 2020, Las Vegas, USA, reviewed, oral BibTeX
  137. 137. Kobayashi G, *Shouno H, Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields, The 26th Int’l Conf on Parallel and Distributed Processing Techniques and Applications (PDPTA20), 2020, Las Vegas, USA, reviewed, oral BibTeX
  138. 138. Honda, H., Matsuka, T., Ueda, K., The effect of context on decisions: Decision by sampling based on probabilistic beliefs., Annual Conference of the Cognitive Science Society (COGSCI 2020) (2020/7/26-29), 2020, Virtual, reviewed BibTeX
  139. 139. Gu, Y., Honda, H., Matsuka, T., Ueda, K., The rational side of decision “bias” based on verbal probabilities., Annual Conference of the Cognitive Science Society (COGSCI 2020) (2020/7/26-30), 2020, Virtual, reviewed BibTeX
  140. 140. *Haruo Hosoya, A deep generative model explaining tuning properties of monkey face processing patches, 第43回日本神経科学大会, 2020, online, reviewed oral BibTeX
  141. 141. Doya, Kenji, Toward multi-scale brain data assimilation, CNS*2020 Workshop: Machine learning and mechanistic modeling for understanding brain in health and disease, 2020, online, invited BibTeX
  142. 142. *Milena Menezes Carvalho, Tomoki Fukai, Self-supervision mechanism of multiple dendritic compartments for temporal feature learning, 29th Annual Computational Neuroscience Meeting (CNS 2020), 2020, online, poster BibTeX
  143. 143. *Milena Menezes Carvalho, Tomoki Fukai, Self-supervision mechanism of multiple dendritic compartments for temporal feature learning, 29th Annual Computational Neuroscience Meeting (CNS 2020), 2020, online, poster BibTeX
  144. 144. *De Havas J, Ito S, Gomi H, Brain responses to tactile oddballs are modulated by illusory pulling direction., Federation of European Neuroscience Societies Forum (FEN2020), 2020, online, poster BibTeX
  145. 145. *Koji Ishihara, Jun Morimoto, MPC for fumanoid control, Robotics: Science and Systems (RSS2020)Workshop (2020/7/12-16), 2020, Online, reviewed BibTeX
  146. 146. Tadahiro Taniguchi, Symbol Emergence in Robotics: Integrative Probabilistic Generative Models for Developmental Human-Robot Communication in the Real-world Environment, IEEE Ubiquitous Robots 2020, 2020, Online, Japan, keynote BibTeX
  147. 147. Doya K, How Can the Brain Connect Predictors and Actors on the Fly?, Workshop on Learning for flexible, context-sensitive behavior, 2020, 2020/3/12-3/13, Bielfeld, GERMANY, invited BibTeX
  148. 148. *Yamashita Y, Computational psychiatry: understanding psychiatric and neurodevelopmental disorders using computational modeling, The 3rd Kyutech International Workshop on Robotics and Innovation, 2020, Online, invited, oral BibTeX
  149. 149. *Tatsuya Haga, Tomoki Fukai, Multiscale associative memory recall by modulation of inhibitory circuits, Computational and Systems Neuroscience (Cosyne) 2020, 2020, Denver, USA, poster BibTeX
  150. 150. *Tatsuya Haga, Tomoki Fukai, Multiscale associative memory recall by modulation of inhibitory circuits, Computational and Systems Neuroscience (Cosyne) 2020, 2020, Denver, USA, poster BibTeX
  151. 151. *Hikida T, The role of the parallel pathways in the nucleus accumbens for reward and aversive learning, MACS International Symposium: COMPUTATIONAL PRINCIPLES IN ACTIVE PERCEPTION AND REINFORCEMENT LEARNING IN THE BRAIN, 2020, invited BibTeX
  152. 152. Rahman F, Doya K, Mickheyev A, Identifying the Evolutionary Conditions for the Emergence of Alternative Reproductive Tactics in Simulated Robot Colonies, AROB 25th 2020, 2020, 2020/1/22-1/24, Beppu, Oita and ONLINE, oral BibTeX
  153. 153. Macpherson T, Yao S, Fukakusa A, Morita M, Kimura H, Hirai K, Ando T, Toyoshiba H, Sawa A, Hikida T, Altered medial prefrontal cortex gene expression following nucleus accumbens pathway neurotransmission blocking, The 10th Takeda Science Foundation Symposium on PharmaSciences – Mental Illness: Human Biology and Preclinical Modeling for Translation, 2020, poster BibTeX
  154. 154. Doya K, What can we further learn from the brain for artificial intelligence?, The 20th winter workshop Mechanism of Brain and Mind, 2020, 2020/1/8-1/10, Rusutsu, HOKKAIDO, invited BibTeX
  155. 155. Tomoki Fukai, Cognition through neural circuit dynamics, Toyama Forum for Academic Summit on “Dynamic Brain”, 2019, Toyama, Japan, oral, invited BibTeX
  156. 156. Tomoki Fukai, Cognition through neural circuit dynamics, Toyama Forum for Academic Summit on “Dynamic Brain”, 2019, Toyama, Japan, oral, invited BibTeX
  157. 157. Parmas P, Sugiyama M, A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme, Deep Reinforcement Learning Workshop, NeurIPS, 2019, Vancouver, CANADA, oral BibTeX
  158. 158. Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda, Towards generation of visual attention map for source code, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) Workshop of Context and Compositionality in Biological and Artificial Neural Systems, 2019, Vancouver, Canada, reviewed BibTeX
  159. 159. Terada H+, *Shouno H, B-DCGAN: Evaluation of Binarized DCGAN for FPGA, The 26th International Conference on Neural Information Processing (ICONIP2019), 2019, 2, Sydney, Australia, reviewed, oral BibTeX
  160. 160. *Tamano R, Ogawa T, Hiroe N, Hirayama J, Kawanabe M, Predicting schizophrenia-related functional connectivity from EEG using SPLICE filter: a statistical analysis with resting-state EEG-fMRI data, Real-time Functional Imaging and Neurofeedback Conference (rtFIN2019), 2019, Maastricht, the Netherlands, reviewed poster BibTeX
  161. 161. *Yuma Kajihara, Takashi Ikegami, Kenji Doya, Model-based empowerment computation for dynamical agents, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019, Xiamen, China, poster BibTeX
  162. 162. *Atsushi Masumori, Lana Sinapayen, Takashi Ikegami, Predictive Coding as Stimulus Avoidance in Spiking Neural Networks, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019, Xiamen, China, oral BibTeX
  163. 163. Osanai M, Ohkawa N, Iguchi Y, Yokose J, Nakayama S, Inokuchi K, Kobayashi K, Haga Y, Mushiake, H, Development and application of the multimodal ultra-thin endoscope for analyzing neuronal circuits in the deep brain region, Neural Oscillation Conference 2019 (2019/11/17-19), 2019, Shirankaikan, Kyoto, Japan, poster BibTeX
  164. 164. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, Personalized Value: Interdisciplinary Approach, 2019, Kyoto, Japan, invited BibTeX
  165. 165. Morioka H, Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning, Brainstorming on Primate Connectome 2019, 2019, Invited, oral BibTeX
  166. 166. *Masayuki Matsumoto, Value-to-choice signal transformation in midbrain dopamine neurons and orbitofrontal neurons during economic decision-making in monkeys, Fourth Quadrennial Meeting on OFC Function, 2019, Paris, France, invited BibTeX
  167. 167. Doya K, Patience, Confidence and Serotonin, Blue Brain Seminar, 2019, Genova, ITARY, invited BibTeX
  168. 168. Tadahiro Taniguchi, Symbol emergence in robotics: towards developmental artificial embodied intelligence, NII Shonan Meetings on “From natural to artificial embodied intelligence: is Deep Learning the solution”, 2019, Kanagawa, Japan, invited BibTeX
  169. 169. Doya K, What Can We Further Learn from the Brain for Cognitive Robotics?, IROS 2019 Workshop: Deep Probabilistic Generative Models for Cognitive Architecture in Robotics, 2019, 2019/11/4-11/8, MACAU, CHINA, oral BibTeX
  170. 170. *Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo, Measuring Task Uncertainty in Meta-Imitation Learning, Proceedings of the workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics at IROS2019, 2019, Maca, China, reviewed BibTeX
  171. 171. Doya K, Systems Biology of Reinforcement Learning, International Conference on Systems Biology (ICSB 2019), 2019, 2019/11/1-11/5, OIST, Plenary speaker BibTeX
  172. 172. Yu Toyoshima, Stephen Wu, Manami Kanamori, Hirofumi Sato, Moon Sun Jang, Yuko Murakami, Suzu Oe, Terumasa Tokunaga, Osamu Hirose, Sayuri Kuge, Takayuki Teramoto, Yuishi Iwasaki, Ryo Yoshida, Takeshi Ishihara, Yuichi Iino, A pipeline of bio-image informatics for whole-brain imaging of C. elegans and analysis of the neural activity, The 20th International Conference of Systems Biology, 2019, Onna, Okinawa, Japan, poster BibTeX
  173. 173. Yuki Katsumata, Lotfi El Hafi, Akira Taniguchi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, Integrating Simultaneous Localization and Mapping with Map Completion Using Generative Adversarial Networks, IROS 2019 Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics, 2019, Las Vegas, USA (virtual), reviewed BibTeX
  174. 174. Doya K, Reinforcement Learning in Machines and the Brain, Conference on Robot Learning (CoRL 2019), 2019, 2019/10/30-11/1, Osaka, JAPAN, invited(Keynote) BibTeX
  175. 175. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neuro – computational process for deciding with predicting others’ decision, The 49th Annual Meeting of the Society for Neuroscience (sfn 2019), 2019, Chicago, USA, poster BibTeX
  176. 176. Mineki Oguchi, Shingo Tanaka, Xiaochuan Pan, Takefumi Kikusui, Keiko Moriya-Ito, Shigeki Kato, Kazuto Kobayashi, Masamichi Sakagami, Chemogenetic Inactivation Using Double Virus Vector Infection Reveals the Inhibitory Function of the Prefronto-striatal Pathway in the Macaque Brain, Annual meeting of the Society for Neuroscience 2019 (SfN2019), 2019, Chicago, America, poster BibTeX
  177. 177. *Tatsuya Haga, Tomoki Fukai, Extended associative memory by inhibitory modulation, Neuroscience 2019 (SfN’s 49th annual meeting), 2019, Chicago, USA, poster BibTeX
  178. 178. *Tatsuya Haga, Tomoki Fukai, Extended associative memory by inhibitory modulation, Neuroscience 2019 (SfN’s 49th annual meeting), 2019, Chicago, USA, poster BibTeX
  179. 179. *Nobuhiko Wagatsuma, Sou Nobukawa, Tomoki Fukai, Top-down modulations of bottom-up signal processing in a microcircuit model involving PV, SOM and VIP inhibitory interneurons, Neuroscience 2019 (SfN’s 49th annual meeting), 2019, Chicago, USA, poster BibTeX
  180. 180. *Nobuhiko Wagatsuma, Sou Nobukawa, Tomoki Fukai, Top-down modulations of bottom-up signal processing in a microcircuit model involving PV, SOM and VIP inhibitory interneurons, Neuroscience 2019 (SfN’s 49th annual meeting), 2019, Chicago, USA, poster BibTeX
  181. 181. Kimura K, Nagai Y, Tanabe S, Zheng A, Fujiwara M, Nakano M, Minamimoto T, Inoue K, Takada M, The modified adeno associated virus vectors enable neuron specific efficient gene transduction in the primate brain, Neuroscience 2019, 2019, Chicago, USA, poster BibTeX
  182. 182. K. Taneko, M. Komatsu, N. Ichinohe, H. Okano, Cerebral information dynamics from visual input to motor output with a whole-hemisphere electrocorticography (ECoG), Neuroscience 2019, 2019, Chicago, USA, poster BibTeX
  183. 183. *Abekawa N, Gomi H, Learning and retrieving motor memories depending on gaze-reach coordination., Neuroscience2019 (SfN2019), 2019, Chicago, poster BibTeX
  184. 184. *Gomi H, Nakamura D, Synthetic modeling of human visual motion analysis for generating quick ocular and manual responses., Neuroscience2019 (SfN2019), 2019, Chicago, poster BibTeX
  185. 185. *Ito S, Gomi H, Online modulation of proprioceptive reflex gain depending on uncertainty in multisensory state estimation., Neuroscience2019 (SfN2019), 2019, Chicago, poster BibTeX
  186. 186. *Ueda H, Abekawa N, Ito S, Gomi H, Distinct temporal frequency-dependent modulations of direct and indirect visual motion effects on reaching adjustments., Neuroscience2019 (SfN2019), 2019, Chicago, poster BibTeX
  187. 187. Mengxi Yun, Takashi Kawai, Masafumi Nejime, Hiroshi Yamada, *Masayuki Matsumto, Signal dynamics corresponding to value-to-choice transformation in midbrain dopamine neurons and orbitofrontal neurons during economic decision-making in monkeys, Society for Neuroscience, 2019, Chicago, USA, poster BibTeX
  188. 188. ABDOLRAHMANI M, + LYAMZIN D. R., AOKI R * BENUCCI A, Cognitive modulation of interacting corollary discharges in the visual cortex, Neuroscience 2019, 2019, Chicago, Poster presentations BibTeX
  189. 189. Orlandi J.G, Abdolrahmani M, Aoki R, Lyamzin D.R, *Benucci A, Revealing causal and non-causal network interactions during perceptual decision making from wide-field cortical imaging in mice, Neuroscience 2019, 2019, Chicago, Poster presentations BibTeX
  190. 190. M. Komatsu, T. Yamada, T. Kaneko, H. Okano, T. Yamamori, N. Ichinohe, Y. Yamashita, Resting state networks on electrocorticograms reveal global and local cortical functional structures, Neuroscience 2019, 2019, Chicago, USA, nano symposium BibTeX
  191. 191. *Miyawaki H, Mizuseki K, Evolution of fear memory representation in local and global circuits., The Annual Meeting of the Society for Neuroscience, 2019, Chicago, USA, poster BibTeX
  192. 192. K. Mimura, J. Matsumoto, C. Sato, K. Kimura, Y. Hori, Y. Nagai, KI. Inoue, I. Aoki, H. Nishijo, T. Suhara, M. Takada, N. Yahata, T. Minamimoto, A chemogenetic toolbox with multimodal imaging and motion tracking for free marmoset behavior, 2019 Marmoset Bioscience symposium, 2019, Chicago, US, reviewed / poster BibTeX
  193. 193. *Komatsu M, Yamada T, Kaneko T, Okano H, Yamamori T, Ichinohe N, Yamashita Y, Resting state networks on electrocorticograms reveal global and local cortical functional structures, 49h Annual Meeting of Society for Neuroscience, 2019, Chicago, USA, oral BibTeX
  194. 194. *Abekawa N, Ito S, Gomi H, Different learning and generalization for reaching movements in foveal and peripheral vision., Motor Learning and Motor Control 2019 (MLMC 2019), 2019, Chicago, oral BibTeX
  195. 195. Yohei Oseki, Construction and evaluation of neurocomputational models of natural language, Theory towards Brains, Machines and Minds, 2019, Saitama, Japan, invited BibTeX
  196. 196. Iino Y, Molecular and neural network mechanisms for the alteration in taste evaluation of C. elegans, The 48th Naito conference, 2019, Sapporo, Japan, invited oral BibTeX
  197. 197. Hirofumi Kunitomo, Hirofumi Sato, Hinako Mitsui, Yuichi Iino, Molecular and neural mechanisms of salt concentration memory-dependent chemotaxis of Caenorhabditis elegans, The 48th Naito conference, 2019, Sapporo, Japan, poster BibTeX
  198. 198. Masamichi Sakagami, Enhancement of the reward prediction error signal of midbrain dopamine neuron by the cost of obtaining the reward, Society for Neuro Economics, 2019, Dublin, Ireland, poster BibTeX
  199. 199. Murata S, Yanagida H, Katahira K, Suzuki S, *Ogata T, and *Yamashita Y, Large-scale Data Collection for Goal-directed Drawing Task with Self-report Psychiatric Symptom Questionnaires via Crowdsourcing, 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2019, Bari, Italy, reviewed oral BibTeX
  200. 200. *Hirayama J, Interpretable multivariate analysis of individual variability in whole-brain functional connectivity, International Workshop on Neurotechnology & AI, 2019, 東京, invited BibTeX
  201. 201. Masamichi Sakagami, The enhancement of the reward prediction error signal in the midbrain dopamine neuron by the cost paid for the reward, ICCN 2019, 2019, Alghero, Italy BibTeX
  202. 202. *Masayuki Matsumoto, The diversity of dopamine signals in macaque monkeys, German Physiological Society, 2019, Ulm, Germany, invited BibTeX
  203. 203. Masamichi Sakagami, Enhancement of the reward prediction error signal of midbrain dopamine neuron by the cost of obtaining the reward, ICCN 2019, 2019, Alghero, Italy, invited,poster BibTeX
  204. 204. Doya K, Neural Circuits for Reinforcement Learning and Mental Simulation, IBRO 2019 Symposium: Valence and Reward Encoding, 2019, 2019/9/21-9/25, Deagu, KOREA, invited BibTeX
  205. 205. *Li N, Cheng K, Waggoner RA, Tanaka K, Changes in deoxygenation level of bloods and cortical tissues following neuronal activity changes as the bases for intrinsic optical recordings and fMRI, Lateral orbitofrontal cortex is associated with human cognitive dynamics in the congruency sequence effect, 2019, poster BibTeX
  206. 206. *Tanskanen T, Waggoner RA, Ueno K, Cheng K, Tanaka K, Variation of RF-induced temperature increase in a phantom: comparison of numerical simulatitons, MR thermometry and measurements from temperature sensors, Columnar scale representation of faces in the human inferotemporal cortex, 2019, poster BibTeX
  207. 207. *Gupta S, Tanaka K, Waggoner RA, High-resolution fMRI of the visual system at 3T using zoomed excitation via Tx-SENSE, Validation of RF-induced temperature increase in living human tissue, 2019, reviewed poster BibTeX
  208. 208. Takashi Ikegami, Offloaded Agency, SIGEF, 2019, 東京, invited BibTeX
  209. 209. *Benucci A., Attention Demixes the Dynamics of Sensory and Motor Responses in the Mouse Visual cortex, invited talk, International School for Advanced Studies, Trieste, Italy, 2019, Trieste, Invited talk BibTeX
  210. 210. *Gomi H, Abekawa N, Decomposition of manual and ocular following responses into the direct and interaction components., Europian Conference on Visual Perception (ECVP2019), 2019, Leuven, poster BibTeX
  211. 211. Inagaki M, Inoue K, Takada M, Fujita I, Fast subcortical processing of emotional faces: evidence from physiology and anatomy in macaque monkeys, 42nd edition of the European Conference on Visual Perception (ECVP 2019), 2019, Leuven, Belgium, poster BibTeX
  212. 212. Doya K, Neural circuits for mental simulation, International Conference on Cognitive Science (ICCS2019), 2019, 2019/8/22-8/24, Seuol, KOREA, invited BibTeX
  213. 213. Doya K, What can we further learn from the brain for AI and robotics?, Global AI Summit: Cognitive AI: Cognitive AI, 2019, 2019/8/21, Seuol, KOREA, invited BibTeX
  214. 214. Murata S, Hirano K, Higashi N, Kumagaya S, Yamashita Y, and *Ogata T, Analysis of Imitative Interactions between Typically Developed or Autistic Participants and a Robot with a Recurrent Neural Network, The 9th joint IEEE International Conference on Development and Learning (ICDL) and the International Conference on Epigenetic Robotics (EpiRob), 2019, Oslo, Norway, reviewed, poster BibTeX
  215. 215. Doya K, Big Data Challenges in Neuroscience, IEEE CIS Summer School: Big Data Analytics and Stream Processing, 2019, 2019/8/10-8/14, Allahabad, INDIA, invited BibTeX
  216. 216. Raman RAJANI, Haruo HOSOYA, Evaluating CNNs as a model of face processing network of the macaque, 第42回日本神経科学大会, 2019, Niigata, reviewed oral BibTeX
  217. 217. Hamaguchi K, *Watanabe D, Neural representation of internal model guided decision making in mouse frontal cortex., The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, Japan, poster BibTeX
  218. 218. Keitaro Obara, Teppei Ebina, Yoshito Masamizu, Shin-Ichiro Terada, Takanori Uka, Misako Komatsu, Noritaka Ichinohe, Akiya Watakabe, Hiroaki Mizukami, Tetsuo Yamamori, Kiyoto Kasai, Masanori Matsuzaki, Calcium imaging of the auditory mismatch negativity (aMMN) responses in common marmosets, The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, poster BibTeX
  219. 219. Takaaki Kaneko, Misako Komatsu, Noritaka Ichinohe, Hideyuki Okano, Information dynamics of natural vision investigated by electrocorticographic (ECoG) signal covering the entire hemisphere of a none-human primate, The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, poster BibTeX
  220. 220. Onuki, Y., Honda, H., Matsuka, T., & Ueda, K., Shift of probability weighting by joint and separate evaluations: analyses of cognitive processes based on behavioral experiment and cognitive modeling, the 41st Annual Conference of the Cognitive Science Society, 2019, Montreal, Canada, reviewed BibTeX
  221. 221. Masatoshi Yoshida, Takaaki Kaneko, Misako Komatsu, Hideyuki Okano, Noritaka Ichinohe, Visual mismatch negativity measured from whole-cortical electrocorticograhic arrays in common marmosets, The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, poster BibTeX
  222. 222. Yuki Nakagami, Akiya Watakabe, Misako Komatsu, Masafumi Takaji, Hiroaki Mizukami, Junichi Hata, Hideyuki Okano, Ken Nakae, Shin Ishii, Noritaka Ichinohe, Tetsuo Yamamori, Local knockdown of CRTC1 gene expression in marmoset V1 triggers epilepsy-like neural activities, The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, poster BibTeX
  223. 223. Kawashima T, *Shouno H, Fast Bayesian Restoration of Poisson Corrupted Images with INLA, The 25th Int’l Conf on Parallel and Distributed Processing Techniques and Applications (PDPTA19), 2019, Las Vegas, USA, reviewed, oral BibTeX
  224. 224. Wataru Suzuki, Misako Komatsu, Takaaki Kaneko, Yuri Shinomoto, Hideyuki Okano, Noritaka Ichinohe, Information processing of other’s action in the STS of common marmoset revealed by whole-cortical recordings, The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, poster BibTeX
  225. 225. *Miyawaki H, Mizuseki K, Global and local neuronal dynamics underlying fear memory., The Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, Japan, poster BibTeX
  226. 226. Doya K, Possible roles of dopamine in model-free and model-based decision and learning, CNS*2019, Dopaminergic Signaling Workshop, 2019, 2019/7/13-7/16, Barcelona, SPAIN, invited BibTeX
  227. 227. Doya K, Neural Circuits for Mental Simulation, CNS*2019, 28th Annual Computational Neuroscience Meeting, 2019, 2019/7/13-7/16, Barcelona, SPAIN, invited BibTeX
  228. 228. *Waggoner RA, Object recognition in inferotemporal cortex: from visual features to semantics, fMRI Studies of Cortical Columns in Humans, 2019, invited oral BibTeX
  229. 229. Doya K, Ethologically Grounded Motivation and Neural Implementation of Mental Simulation, The 4th International Workshop on Intrinsically Motivated Open-ended Learning (IMOL2019), 2019, 2019/7/1-7/3, Frankfurt, Germany, invited BibTeX
  230. 230. Yu Toyoshima, Stephen Wu, Manami Kanamori, Hirofumi Sato, Moon Sun Jang, Yuko Murakami, Suzu Oe, Terumasa Tokunaga, Osamu Hirose, Sayuri Kuge, Takayuki Teramoto, Yuishi Iwasaki, Ryo Yoshida, Takeshi Ishihara, Yuichi Iino, Bio-image informatics for whole-brain activity imaging of C. elegans, 22th International C. elegans Meeting, 2019, Los Angeles, USA, invited, workshop, oral BibTeX
  231. 231. Moonsun Jang and Yuichi Iino, Two distinct sets of chemosensory neurons involved in food-related navigation., 22th International C. elegans Meeting, 2019, Los Angeles, USA, oral BibTeX
  232. 232. H. Sato, H. Kunitomo, X. Fei, K. Hashimoto, Y. Iino, Neural dynamics for bidirectional regulation of experience-dependent gustatory behavior., 22th International C. elegans Meeting, 2019, Los Angeles, USA, oral BibTeX
  233. 233. Ayaka Matsumoto, Yu Toyoshima, Yuichi Iino, Integration of Detected Salt Concentrations with Motor State Mediated by a Single Interneuron in C. elgans, 22th International C. elegans Meeting, 2019, Los Angeles, USA, poster BibTeX
  234. 234. *Barry Ridge, Rok Pahic, Ales Ude, Jun Morimoto, Convolutional encoder-decoder networks for robust image-to-motion prediction, 28th International Conference on Robotics in Alpe-Adria-Danube Region(RAAD2019) (2019/6/19-21), 2019, Kaiserslautern, Germany, reviewed BibTeX
  235. 235. Hidehiko Takahashi, Neuroimaging of gambling disorder, International Conference on Behavioral Addictions, 2019, Yokohama, Japan, invited BibTeX
  236. 236. *Ogawa T, Moriya H, Hiroe N, Yamada T, Kawanabe M, Hirayama J, Network extraction method using hierarchical ICA-based approach: a simultaneous EEG-fMRI study, Organization of Human Brain Mapping (OHBM2019), 2019, Rome, Italy, reviewed poster BibTeX
  237. 237. Tomoki Fukai, Temporal feature analysis in brain-inspired neural systems, Silicon Nanoelectronics Workshop 2019, 2019, Kyoto, Japan, oral, invited BibTeX
  238. 238. Tomoki Fukai, Temporal feature analysis in brain-inspired neural systems, Silicon Nanoelectronics Workshop 2019, 2019, Kyoto, Japan, oral, invited BibTeX
  239. 239. Yamaguchi H, Hashimoto Y, Honda M, *Yamashita Y, Extracting feature from structural brain image using convolutional auto-encoder, 2019 OHBM annual meeting, 2019, Roma, Italy, poster BibTeX
  240. 240. Hashimoto Y, Ogata Y, Aizawa K, *Yamashita Y, New approach for analysis of resting-state functional MRI: Convolutional auto-encoder, 2019 OHBM annual meeting, 2019, Roma, Italy, poster BibTeX
  241. 241. *Masayuki Matsumoto, Dynamics of dopamine neuron activity represents value-to-choice transformation in monkeys performing an economic decisionmaking task, International Symposium on Biology of Decision Making, 2019, Oxford, UK, invited BibTeX
  242. 242. Y. Ikutani, N. Koganti, H. Hata, T. Kubo, and K. Matsumoto, Toward imitating visual attention of experts in software development tasks, 6th International Workshop on Eye Movements in Programming (EMIP 2019), 2019, Montreal, Canada, reviewed BibTeX
  243. 243. *Nakahara H, Neural computations underlying social decision-making, NII Shonan Meeting “Language as Goal-Directed Sequential Behavior: Computational Theories, Brain Mechanisms, Evolutionary Roots”, 2019, Kanagawa, Japan, oral, invited BibTeX
  244. 244. *Barry Ridge, Rok Pahic, Ales Ude, Jun Morimoto, Learning to write anywhere with spatial transformer image-to-motion encoder-decoder networks, IEEE International Conference on Robotics and Automation(ICRA2019)(2019/5/20-24), 2019, Montreal, Canada, reviewed BibTeX
  245. 245. *Masashi Hamaya, Takamitsu Matsubara, Jun-ichiro Furukawa, Yuting Sun, Satoshi Yagi, Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto, Exploiting human and robot muscle synergies for human-in-the-loop optimization of EMG-based assistive strategies, IEEE International Conference on Robotics and Automation(ICRA2019)(2019/5/20-24), 2019, Montreal, Canada, reviewed BibTeX
  246. 246. Labuguen R, Bardeloza DK, Blanco SN, Matsumoto J, Inoue K, Shibata T, Primate Markerless Pose Estimation and Movement Analysis Using DeepLabCut, Joint 2019 8th International Conference on Informatics, Electronics & Vision (ICIEV) & 3rd International Conference on Imaging, Vision & Pattern Recognition (IVPR), 2019, Washington, USA, poster BibTeX
  247. 247. *Suzuki C, Waggoner RA, Haruhana K, Tanaka K, Ueno K, Object recognition in inferotemporal cortex: from visual features to semantics, Improving k-space physiological noise correction with motion correction in fMRI studies, 2019, reviewed poster BibTeX
  248. 248. *Benucci A., Stability and Plasticity of Visual Representations in the Mouse Cortex, Brain Networks Workshop, 2019, Pohang, Korea, Invited talk BibTeX
  249. 249. Mineki Oguchi, Shingo Tanaka, Xiaochuan Pan, Takefumi Kikusui, Shigeki Kato, Kazuto Kobayashi, and Masamichi Sakagami, Chemogenetic Inactivation Using Double Virus Vector Infection Reveals the Inhibitory Function of the Prefronto-striatal Pathway in the Macaque Brain, The International Basal Ganglia Society, 2019, Biarritz,France, poster BibTeX
  250. 250. *Abekawa N, Gomi H, Multiple motor memories depending on foveal and peripheral reaching., Neural Control of Movement 2019 (NCM2019), 2019, Toyama, poster BibTeX
  251. 251. *De Havas J, Ito S, Gomi H, The inhibition of voluntary muscle relaxations depends on similar mechanisms to the inhibition of muscle contractions., Neural Control of Movement 2019 (NCM2019), 2019, Toyama, poster BibTeX
  252. 252. Nakamura D, *Gomi H, Spatiotemporal tuning of ocular following response can be acquired by statistical machine learning of visual images during daily self-movements., Neural Control of Movement 2019 (NCM2019), 2019, Toyama, poster BibTeX
  253. 253. *Takamuku S, Ohta H, Kanai C, Gomi H, Visual feedback of object motion improves grip control but disrupts arm control in adults with ASC., Neural Control of Movement 2019 (NCM2019), 2019, Toyama, poster BibTeX
  254. 254. *Gomi H, Predictive setup of implicit sensorimotor processing according to tasks and environments, Neural Control of Movement 2019 (NCM2019), 2019, Toyama, oral BibTeX
  255. 255. Takashi Ikegami, AI からALIFE へ : 生命原理のロボットを考える, AI/SUM, 2019, 東京, invited BibTeX
  256. 256. *Kozuno T, Uchibe E, Doya K, Theoretical analysis of efficiency and robustness of softmax and gap-increasing operators in reinforcement learning, 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), 2019, Okinawa, Japan, reviewed, poster BibTeX
  257. 257. *Jun Morimoto, Motor learning algorithms, Skolkovo Robotics 2019, 2019, Moscow, Russia, invited, Keynote BibTeX
  258. 258. *Yamashita Y, Computational psychiatry: understanding neuropsychiatric disorders using computational modeling, 2019 Annual Meeting of Korea NeuroPsychiatric Association(KNPA), 2019, Seoul, Korea, plenary BibTeX
  259. 259. Tomoki Fukai, Temporal feature analysis by self-supervising dendritic neurons, 2019 Gordon Research Conference on Dendrites: Molecules, Structure and Function, 2019, Ventura, USA, oral, invited BibTeX
  260. 260. Tomoki Fukai, Temporal feature analysis by self-supervising dendritic neurons, 2019 Gordon Research Conference on Dendrites: Molecules, Structure and Function, 2019, Ventura, USA, oral, invited BibTeX
  261. 261. Inoue K, Pathway-selective optogenetics for elucidating neural network function in primates, DFG-AMED joint Workshop “New Direction in Systems Neuroscience”, 2019, Tuebingen, Germany, invited BibTeX
  262. 262. Masamichi Sakagami, Chemogenetic Inactivation Using Double Virus Vector Infection Revealed the Function of the Prefronto-striatal Pathway in the Macaque Brain, HangZhou Forum on “Cognitive Neuroscience and Intelligent Application”, 2019, China BibTeX
  263. 263. Tomoki Fukai, Learning information streams in brain-inspired neural network models, HangZhou Forum on Cognitive Neuroscience and Intelligent Application 2019, 2019, Hangzhou, China, oral, invited BibTeX
  264. 264. Tomoki Fukai, Learning information streams in brain-inspired neural network models, HangZhou Forum on Cognitive Neuroscience and Intelligent Application 2019, 2019, Hangzhou, China, oral, invited BibTeX
  265. 265. *Uchibe E, Imitation learning under entropy regularization, Reinforcement Learning & Biological Intelligence, 2019, Tokyo, Japan, oral, invited BibTeX
  266. 266. Doya K, Patience and beyond, COSYNE 2019 Workshop -Advances and Convergences in 5-HT Research, 2019, 2019/3/4-2019/3/5, Lisbon, Portugal, invited BibTeX
  267. 267. Tomoki Fukai, Implications of symmetric STDP, replay and inhibitory engrams in sequence learning, Computational and Systems Neuroscience (Cosyne) 2019 Workshop, 2019, Lisbon, Portugal, oral, invited BibTeX
  268. 268. Tomoki Fukai, Implications of symmetric STDP, replay and inhibitory engrams in sequence learning, Computational and Systems Neuroscience (Cosyne) 2019 Workshop, 2019, Lisbon, Portugal, oral, invited BibTeX
  269. 269. Doya K, Neural circuit for mental simulation, Computational and Systems Neuroscience 2019 (COSYNE2019), 2019, 2019/2/28-2019/3/2, Lisbon, Portugal, invited BibTeX
  270. 270. Takumi Ege*, Yoshikazu Ando, Ryosuke Tanno, Wataru Shimoda and Keiji Yanai, Image-Based Estimation of Real Food Size for Accurate Food Calorie Estimation, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2019, San Jose, USA, reviewed BibTeX
  271. 271. Tetsuya Nagano*, Takumi Ege, Wataru Shimoda and Keiji Yanai, A Large-scale Analysis of Regional Tendency of Twitter Photos Using Only Image Features, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2019, San Jose, USA, reviewed BibTeX
  272. 272. *Zoccolan D., Benucci A., Studying visual processing in rodents: where a decade of research has taken us and what is waiting ahead, CoSyNe 2019, 2019, Lisbon, Portugal, Workshop organizer and presenter, invited BibTeX
  273. 273. *Benucci A., Local and global contribution to hemodynamic activity in the mouse cortex, Neurovascular Unit Workshop, 2019, Tokyo, Invited talk BibTeX
  274. 274. Hidehiko Takahashi, Neuroimaging of gambling disorder, The 2nd International Behavioral Addiction Forum, 2019, Yokohama, Japan, Keynote BibTeX
  275. 275. *Matsumoto H, High-resolution Opto-Electrophysiology: a new tool for analyzing brain functions, 2019 BibTeX
  276. 276. *Matsumoto H, Mizuseki K, Information processing of the ventral tegmental area neurons in reward-based adaptive decision-making, 次世代脳プロジェクト 冬のシンポジウム, 2019 BibTeX
  277. 277. *Matsumoto H, Mizuseki K, Information processing of the ventral tegmental area neurons in reward-based decision-making, The 42nd Annual Meeting of the Japan Neuroscience Society., 2019 BibTeX
  278. 278. Mineki Oguchi , Masamichi Sakagami, Chemogenetic Inactivation Using Double Virus Vector Infection Reveals the Function of the Prefronto-striatal Pathway in the Macaque Brain, NHP Chemogenetics workshop 2018, 2018, Bethesda BibTeX
  279. 279. Inoue K, Development of viral vectors for delivering functional molecules into nonhuman primate brains., Genetic technologies for systems neurosciences in non-human primates, 2018, Bethesda, USA, invited BibTeX
  280. 280. *Hikida T, Macpherson T, Mizoguchi H, Yamanaka A, 57th Annual Meeting of the American College of Neuropsychopharmacology, 2018, poster BibTeX
  281. 281. Jeric Briones, Takatomi Kubo and Kazushi Ikeda, Detecting switching causal interactions using hierarchical segmentation approach, NeurIPS 2018 Workshop on Causal Learning, 2018, Montreal, Canada, reviewed BibTeX
  282. 282. Paramas P, Total stochastic gradient algorithms and applications in reinforcement learning, The 32nd Conference on Neural Information Processing Systems (NeurIPS2018), 2018, 2018/12/2-12/8, Montreal, CANADA, poster BibTeX
  283. 283. *Tanaka K, Coding of faces by tensor components, Neural substrates of intuition in shogi and soccer experts, 2018, invited lecture BibTeX
  284. 284. *Tanaka K, Energization of cognitive modes by the medial prefrontal cortex (area 9m) in Wisconsin Card Sorting Test (WCST), 2018, invited plenary lecture BibTeX
  285. 285. *Gomi H, Contribution of internal models on sensorimotor control, The 75th Fujihara Seminar “The Cerebellum as a CNS hub; from its evolution to therapeutic strategies”, 2018, Tokyo, Invited talk BibTeX
  286. 286. Wataru Shimoda*, Atsushi Narusawa, and Keiji Yanai, Font Style Transfer Using Deep Neural Networks, International Display Workshop (IDW), 2018, Nagoya, Japan, invited BibTeX
  287. 287. Yuki Izumi*, Daichi Horita, Ryosuke Tanno and Keiji Yanai, Real-Time Image Classification and Transformation Apps on iOS by “Chainer2MPSNNGraph”, NIPS 2018 Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD), 2018, Montreal, Canada, reviewed BibTeX
  288. 288. Asato Matsumoto* and Keiji Yanai, Continual Learning for an Encoder-Decoder CNN Using “Piggyback”, NIPS2018 Continual Learning Workshop, 2018, Montreal, Canada, reviewed BibTeX
  289. 289. Shu Naritmo*, Ryosuke Tanno, Takumi Ege and Keiji Yanai, FoodChangeLens: CNN-based Food Transformation on HoloLens, International Workshop on Interface and Experience Design with AI for VR/AR (DAIVAR), 2018, Taichung, Taiwan, reviewed BibTeX
  290. 290. Yu Sugiyama* and Keiji Yanai, Word-Conditioned Image Style Transfer, ACCV Workshop on AI Aesthetics in Art and Media (AIAM), 2018, Perth, Australia, reviewed BibTeX
  291. 291. Atsushi Narusawa*, Wataru Shimoda and Keiji Yanai, Font Style Transfer Using Neural Style Transfer and Unsupervised Cross-domain Transfer, ACCV Workshop on AI Aesthetics in Art and Media, 2018, Perth, Australia, reviewed BibTeX
  292. 292. Fukai T, Cortical network models from small scales to large scales for cognition, Orchestrating Networks, 2018, Juelich, Germany, oral, invited BibTeX
  293. 293. Fukai T, Exploring a bridge between the brain and AI, Global Leaders Forum 2018, 2018, Seoul, Korea, oral, invited BibTeX
  294. 294. Yuza, J., Okubo, M., Komura, Y., & Kajiwara, R*, Contribution of nucleus accumbens to impulsive choice behavior based on the last reward experience, Society for Neuroscience meeting, 2018, San Diego, USA BibTeX
  295. 295. Misako Komatsu, Noritaka Ichinohe, Predictive coding on auditory processing: spatio-temporal structure of signal flow in whole-cortical electrocorticograms, Neuroscience 2018, 2018, Sun Diego, USA, poster BibTeX
  296. 296. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neuro-computational mechanisms for deciding with predicting others, The 48th Annual Meeting of the Society for Neuroscience (sfn 2018), 2018, San Diego, USA, poster BibTeX
  297. 297. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanism underlying value conversion of others’ reward to decision, The 48th Annual Meeting of the Society for Neuroscience (sfn 2018), 2018, San Diego, USA, poster BibTeX
  298. 298. Kiyohiko Nakamura, Misako Komatsu, Neural mechanism for information seeking in monkey prefrontal cortex, Neuroscience 2018, 2018, Sun Diego, USA, poster BibTeX
  299. 299. *Asabuki T, Fukai T, Analysis of complex temporal information streams by dendritic neuron model, Neuroscience 2018 (SfN’s 48th annual meeting), 2018, San Diego, USA, poster BibTeX
  300. 300. *Haga T, Fukai T, Learning efficient search for reward by CA3 recurrent network model, Neuroscience 2018 (SfN’s 48th annual meeting), 2018, San Diego, USA, poster BibTeX
  301. 301. *Abekawa N, Gomi H, Different eye-hand coordination forms distinct motor memories in visuomotor adaptation, Neuroscience2018 (SfN2018), 2018, San Diego, poster BibTeX
  302. 302. *De Havas J, Ito S, Gomi H, The inhibition of voluntary muscle relaxations depends on similar mechanisms to the inhibition of muscle contractions., Neuroscience2018 (SfN2018), 2018, San Diego, poster BibTeX
  303. 303. Mengxi Yun, Takashi Kawai, Masafumi Nejime, Hiroshi Yamada, *Masayuki Matsumoto, Dynamics of neuronal signals in primate midbrain dopamine neurons and orbitofrontal cortex neurons during value-to-decision transformation, Society for Neuroscience, 2018, San Diego, USA, poster BibTeX
  304. 304. Macpherson T, Mizoguchi H, Yamanaka A, Hikida T, Ventral pallidum neurons control aversive learning, The 48th Annual Meeting of the Society for Neuroscience. (2018/11/3-7), 2018, poster BibTeX
  305. 305. Macpherson T, Mizoguchi H, Yamanaka A, Hikida T, Ventral pallidum neurons control aversive learning, The 48th Annual Meeting of the Society for Neuroscience, 2018 BibTeX
  306. 306. Takaaki Kaneko, Misako Komatsu, Noritaka Ichinohe, Hideyuki Okano, Neural dynamics of recurrent active vision, Neuroscience 2018, 2018, Sun Diego, USA, poster BibTeX
  307. 307. Aoki, R., *Benucci, A., In vivo quantification of single-cell targeted optogenetic stimulation with a digital micro-mirror device, Neuroscience 2018, 2018, San Diego, Poster presentations BibTeX
  308. 308. *Suzuki S, Katahira K, Yamashita Y, Reinforcement learning is impaired with obsessive-compulsive and schizotypal traits, 48th Annual Meeting of Society for Neuroscience, 2018, Sandiego, USA, poster BibTeX
  309. 309. Daichi Horita*, Jaehyeong Cho, Takumi Ege and Keiji Yanai, CNN-based Photo Transformation for Improving Attractiveness of Ramen Photos, ACM Symposium on Virtual Reality Software and Technology (VRST), 2018, Tokyo, Japan, reviewed BibTeX
  310. 310. Ryosuke Tanno*, Takumi Ege and Keiji Yanai, AR DeepCalorieCam V2: Food Calorie Estimation with CNN and AR-based Actual Size Estimation, ACM Symposium on Virtual Reality Software and Technology (VRST), 2018, Tokyo, Japan, reviewed BibTeX
  311. 311. *Guilherme Maeda, Okan Koc, Jun Morimoto, Reinforcement learning of phase oscillators for fast adaptation to moving targets, Conference on Robot Learning(CoRL2018)/Proceedings of Machine Learning Research(Web) (2018/10/29-31), 2018, Zurich, Switzerland, reviewed BibTeX
  312. 312. Kozuno T, Doya K, Theoretical analysis of Non-exact retrace algorithm, The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018 ), 2018, 2018/10/24-2018/10/27, OIST, Poster BibTeX
  313. 313. Fukai T, Unsupervised learning of information streams in networks of dendritic neurons, Champalimaud Research Symposium 2018, 2018, Lisbon, Portugal, oral, invited BibTeX
  314. 314. *Nakahara H, Neural computations underlying social decision-making, KAIST Bio-IT Healthcare Initiative II Half-day workshop on brain-inspired AI:Neural Basis of Intelligence, 2018, Daejeon, Korea, oral, invited BibTeX
  315. 315. *Abekawa N, Gomi H, Difference in eye-hand coordination forms distinct motor memories in implicit visuomotor adaptation. In: JNNS Satellite Workshop, Joint workshop “Analysis and Synthesis for Human/Artificial Cognition and Behaviour” (JNNS2018 satellite), 2018, okinawa, poster BibTeX
  316. 316. *De Havas J, Ito S, Gomi H, Does the inhibition of voluntary muscle relaxations depend on similar mechanisms to the inhibition of muscle contractions?, Joint workshop “Analysis and Synthesis for Human/Artificial Cognition and Behaviour” (JNNS2018 satellite), 2018, Okinawa, poster BibTeX
  317. 317. *Ito S, Gomi H, Multimodal contribution to body state representation for generating proprioceptive reflexes., Joint workshop “Analysis and Synthesis for Human/Artificial Cognition and Behaviour” (JNNS2018 satellite), 2018, Okinawa, poster BibTeX
  318. 318. *Nakamura D, Gomi H, Statistical analysis of optic flow induced by body motion characterizing OFR and MFR., Joint workshop “Analysis and Synthesis for Human/Artificial Cognition and Behaviour” (JNNS2018 satellite), 2018, Okinawa, poster BibTeX
  319. 319. *Takamuku S, Gomi H, Low sensitivities of walking speed adjustment and self‐motion velocity perception to dense optic flow, Joint workshop “Analysis and Synthesis for Human/Artificial Cognition and Behaviour” (JNNS2018 satellite), 2018, Okinawa, poster BibTeX
  320. 320. *Jun-ichiro Furukawa, Jun Morimoto, A data-driven approach for estimating human behavior with collaborative filtering, Joint workshop of UCL-ICN, NTT, UCL-Gatsby, and AIBS (2018/10/22-23), 2018, Okinawa, Japan BibTeX
  321. 321. *Jun Morimoto, Humanoid motor learning from observed human behaviors, Joint workshop of UCL-ICN, NTT, UCL-Gatsby, and AIBS (2018/10/22-23), 2018, OISTシーサイドハウス（沖縄県）, invited BibTeX
  322. 322. *Yamashita Y, Okimura T, Maeda T, Aberrant sense of agency induced by delayed prediction signal in schizophrenia: a computational modeling study, International Consortium on Hallucination Research (ICHR) 2018, 2018, Kyoto, Japan, poster BibTeX
  323. 323. Idei H, Murata S, Yamashita Y, *Ogata T, Altered self-nonself discrimination simulated on humanoid robot with a hierarchical neural network model, International Consortium on Hallucination Research (ICHR) 2018, 2018, Kyoto, Japan, poster BibTeX
  324. 324. Fukai T, Sequence learning by symmetric STDP and inhibitory engram, 18th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI2018), 2018, Jeju Island, Korea, oral, invited BibTeX
  325. 325. *Nakahara H, Neural computations underlying social decision-making, 18th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics, 2018, Jeju Island, Korea, oral, invited BibTeX
  326. 326. *Benucci A., Stability and Plasticity of Visual Representations in the Mouse Cortex, Invited talk, University of Zurich and ETH Zurich, 2018, Zurich, Invited talk BibTeX
  327. 327. Rikunari Sagara, Ryo Taguchi, Akira Taniguchi, Tadahiro Taniguchi, Koosuke Hattori, Masahiro Hoguro, and Taizo Umezaki, Mutual learning of relative spatial concepts and phoneme sequences using spoken user utterances, IROS2018 Workshop on Language and Robotics, 2018, Madrid, Spain, reviewed BibTeX
  328. 328. Ryosuke Tanno*, Daichi Horita, Wataru Shimoda and Keiji Yanai, Magical Rice Bowl: Real-time Food Category Changer, ACM Multimedia, 2018, Seoul, Korea, reviewed BibTeX
  329. 329. Inoue K, Manipulation of primate neural networks by means of modified viral vectors, International Conference “Viral Manipuration in Monkey”, 2018, Paris, France, invited BibTeX
  330. 330. Ryo Ozaki, Tadahiro Taniguchi, Accelerated nonparametric bayesian double articulation analyzer for unsupervised word discovery, The 8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics 2018, 2018, Tokyo, Japan, reviewed BibTeX
  331. 331. Tadahiro Taniguchi, Yuta Fukusako, Toshiaki Takano, Bayesian noisy word clustering via sampling prototypical words, The 8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics 2018, 2018, Tokyo, Japan BibTeX
  332. 332. *Uchibe E, Cooperative and competitive reinforcement and imitation learning, 8th Joint IEEE International Conferene on Developmental Learning and on Epigenetic Robotics (ICDL-EpiRob 2018), 2018, Tokyo, Japan, reviewed, poster BibTeX
  333. 333. *Wang J, Elfwing S, Uchibe E, Deep reinforcement learning by parallelizing reward and punishment using MaxPain architecture, 8th Joint IEEE International Conferene on Developmental Learning and on Epigenetic Robotics (ICDL-EpiRob 2018), 2018, Tokyo, Japan, reviewed, poster BibTeX
  334. 334. *Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo, Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder, Interspeech, 2018, 2018, Hyderabad, India, reviewed BibTeX
  335. 335. *Ogawa T, Moriya H, Hiroe N, Yamada T, Kawanabe M, Hirayama J, Extraction of EEG network components by using stacked pooling and linear components estimation, The 21st International Conference on Biomagnetism (BIOMAG2018), 2018, Philadelphia, USA, reviewed poster BibTeX
  336. 336. *Daniel F.N. Gordon, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto, Sethu Vijayakumar, Bayesian optimisation of exoskeleton design parameters, 7th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics（BioRob 2018）(2018/8/26-29), 2018, Enschede, the Netherlands, reviewed BibTeX
  337. 337. Masamichi Sakagami, Decoding value-related signal represented in multiple areas of the prefrontal cortex using ECoG electrodes, The 4th Conference on Cognitive Neurodynamics, 2018, China BibTeX
  338. 338. Noritaka Ichinohe, Misako Komatsu, Mismatch negativity as a translatable biomarker bridging a gap between animal model and human disease, The 41nd Annual Meeting of the Japan Neuroscience Society, 2018, Kobe, symposium BibTeX
  339. 339. Kiyohiko Nakamura, Misako Komatsu, The value of information encoded by neural populations of prefrontal cortex during information seeking, The 41nd Annual Meeting of the Japan Neuroscience Society, 2018, Kobe, poster BibTeX
  340. 340. Hamaguchi K, *Watanabe D, HDBCellSCAN: hierarchical density-based clustering approach for ROI detection in Calcium imaging data, The 41st Annual Meeting of the Japan Neuroscience Society, 2018, Kobe, Japan, poster BibTeX
  341. 341. Masamichi Sakagami, Value Decoding from ElectroCorticoGraphic Signals in Monkey Prefrontal Cortices and its Modulation by Decorded Neurofeedback, The 41th Annual Meeting of the Japan Neuroscience Society, 2018, Kobe BibTeX
  342. 342. Misako Komatsu, Noritaka Ichinohe, Effects of ketamine administrations on frequency and duration mismatch activity in common marmosets, The 41nd Annual Meeting of the Japan Neuroscience Society, 2018, Kobe, poster BibTeX
  343. 343. *Gomi H, Nakamura D, Specificities of manual and ocular following responses and natural statistics of optic flow induced by body movements., The 41st Annual Meeting of the Japan Neuroscience Society 2018, 2018, Kobe, poster BibTeX
  344. 344. Masamichi Sakagami, Introduction of Japan-U.S.Brain Reserch Cooperative Program (BRCP), The 41th Annual Meeting of the Japan Neuroscience Society, 2018, Kobe BibTeX
  345. 345. Tadahiro Taniguchi, Constructive Approach towards Symbol Emergence Systems with Cognitive Robotics and Machine Learning, EVOSLACE (Workshop on the emergence and evolution of social learning, communication, language and culture in natural and artificial agents in ALIFE 2018), 2018, Tokyo, Japan, invited BibTeX
  346. 346. *Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama, Takeshi Mita, Douglas Bakkum, Urs Frey, Hirokazu Takahashi, Takashi Ikegami, Autonomous Regulation of Self and Non-Self by Stimulation Avoidance in Embodied Neural Networks, Artificial Life Conference 2018, 2018, Tokyo, Japan, oral BibTeX
  347. 347. *Uchibe E, Efficient sample reuse in policy search by multiple importance sampling, Genetic and Evolutionary Computation Conference (GECCO 2018), 2018, Kyoto, Japan, reviewed, oral BibTeX
  348. 348. *Elfwing S, Uchibe E, Doya K, Online meta-learning by parallel algorithm competition, Genetic and Evolutionary Computation Conference (GECCO 2018), 2018, Kyoto, Japan, reviewed, oral BibTeX
  349. 349. Tadahiro Taniguchi, Symbol Emergence in Robotics: Towards Architecture for Embodied Developmental General Artificial Intelligence, AEGAP 2018 Architectures and Evaluation for Generality, Autonomy & Progress in AI, 15th July, 2018, STOCKHOLM, SWEDEN, 1ST INTERNATIONAL WORKSHOP HELD IN CONJUNCTION WITH IJCAI-ECAI 2018, AAMAS 2018 AND ICML 2018, 2018, STOCKHOLM, SWEDEN, invited BibTeX
  350. 350. Hayakawa T, Fukai T, The mean-field theory of dynamically balanced neuronal networks, 27th Annual Computational Neuroscience Meeting (CNS 2018), 2018, Seattle, USA BibTeX
  351. 351. Parmas P, Rasmussen Carl E, Peters Jan, Doya, Kenji, PIPPS: Flexible model-based policy search robust to the curse of chaos, The 35th International Conference on Machine Learning (ICML2018), 2018, 2018/7/10-7/15, Stockholm, SWEDEN, reviewed poster BibTeX
  352. 352. Hidehiko Takahashi, Development of theranostic biomarkers for schizophrenia, Pan-Asia Symposium on the Genetics of Brain Disorders, 2018, Shanghai, China, invited BibTeX
  353. 353. Yuza, J. Okubo, M., Komura, Y., & Kajiwara, R., The role of nucleus accumbens for tolerance to delayed reward using two-choice maze in rats, The 11th FENS Forum of Neuroscience, 2018, Berlin, Germany BibTeX
  354. 354. Macpherson T, Mizoguchi H, Yamanaka A, Hikida T, Ventral pallidum neurons control aversive learning, The 11th Meeting of the Federation for European Neuroscience Society, 2018, poster BibTeX
  355. 355. Honda, H., Shirasuna, M., Matsuka, T., & Ueda, K., Speakers’ choice of frame based on reference point: with explicit reason or affected by irrelevant prime?, the 40th Annual Conference of the Cognitive Science Society, 2018, Madison, USA, reviewed BibTeX
  356. 356. Takumi Ege* and Keiji Yanai, Multi-task Learning of Dish Detection and Calorie Estimation, International Workshop on Multimedia Assisted Dietary Management (MADIMA), 2018, Stockholm, Sweden, reviewed BibTeX
  357. 357. Daichi Horita*, Ryosuke Tanno, Wataru Shimoda and Keiji Yanai, Food Category Transfer with Conditional Cycle GAN and a Large-scale Food Image Dataset, International Workshop on Multimedia Assisted Dietary Management (MADIMA), 2018, Stockholm, Sweden, reviewed BibTeX
  358. 358. Yoshifumi Ito*, Wataru Shimoda and Keiji Yanai, Food Image Generation using A Large Amount of Food Images with Conditional GAN: RamenGAN and RecipeGAN, International Workshop on Multimedia Assisted Dietary Management (MADIMA), 2018, Stockholm, Sweden, reviewed BibTeX
  359. 359. *Waggoner RA, Ueno K, Kuribayshi H, Tanaka K, In-Plane Signal Leakage (L- factor) Maps from TGRAPPA, 2018, reviewed poster BibTeX
  360. 360. Komatsu M, Effects of ketamine administrations on frequency and duration mismatch activity in common marmosets with whole-cortical electrocorticograms, the 8th Mismatch Negativity conference, 2018, Helsinki, invited BibTeX
  361. 361. Tadahiro Taniguchi, Symbol Emergence in Robotics Towards Unsupervised Language Acquisition by Robots, Doing Digital Methods: Interdisciplinary Interventions, 2018, Kyoto, Japan, invited BibTeX
  362. 362. Doya K, Introductory talk: Building autonomous robots to understand what brains do, Satellite workshop of The 8th International Symposium on Biology of Decision Making (SBDM2018), 2018, 2018/5/21-5/23, Paris, France, oral BibTeX
  363. 363. Tadahiro Taniguchi, Unsupervised Language Acquisition by Robots with Hierarchical Bayesian Models, SBDM2018 Satellite-Workshop on interfaces between Robotics, Artificial Intelligence and Neuroscience, 2018, Paris, France, invited BibTeX
  364. 364. *Shinsuke Suzuki, Food value computation in the human orbitofrontal cortex, Eighth International Symposium on Biology of Decision Making, 2018, Paris, France, invited BibTeX
  365. 365. *Rok Pahic, Andrej Gams, Ales Ude, Jun Morimoto, Deep Encoder-Decoder Networks for Mapping Raw Images to Movement Primitives, IEEE International Conference on Robotics and Automation(ICRA2018), 2018, Brisbane, Australia, reviewed# BibTeX
  366. 366. *Waggoner RA, MR Physics Demands of High-Resolution fMRI, 2018, invited oral BibTeX
  367. 367. Doya K, Neural circuits for reinforcement learning and mental simulation, Canonical Computaiton in Brains and Machines Symposium, 2018, 2018.3.18, New York University, USA, oral BibTeX
  368. 368. Doya K, Neural circuits for reinforcement learning and mental simulation, Seminar, 2018, 2018.3.19, Cold Spring Harbor Laboratory, USA, seminar BibTeX
  369. 369. So Fujimoto, Mao Noguchi, Akihiko Nikkuni, Yutaka Komura*, Neurobiology and statistics for reflective minds in primates, International symposium for cognitive neuroscience, 2018, Taipei, Taiwan BibTeX
  370. 370. *Yoshizawa T, Ito M, Doya K, Cell-type specific calcium imaging of striatal neurons in the striosome compartments during an odor-conditioning task, Gordon Research Conference, 2018, 2018.3.15, Four Points Sheraton/Holiday Inn Express, Ventura, CA, US, Poster BibTeX
  371. 371. Doya K, How does the brain wire up itself on the fly?, Seminar, 2018, 2018.3.14, Institute for Advanced Study, Princeton, USA, invited BibTeX
  372. 372. Doya K, Neural Circuit for Mental Simulation, The Neuroscience and Social Decision Making Talk Series, 2018, Princeton Neuroscience Institute, USA, Seminar BibTeX
  373. 373. Doya K, Imaging the neural circuit for mental simulation, COSYNE 2018 Workshop Session: Concepts, attention, and consciousness in (reinforcement) learning, 2018, 2018.3.5, Denver City, USA, oral BibTeX
  374. 374. *Benucci A., Sussillo, D., RNNs: What are we doing and why?, CoSyNe 2018 (2018/3/5-3/6), 2018, Denver, Colorado, Workshop organizer and presenter, invited BibTeX
  375. 375. Hamasaki Y, Nakayama T, Hikida T, Childhood subclinical characteristics in schizophrenia – toward the early screening for the risk of schizophrenia, EPA 2018, 2018 BibTeX
  376. 376. Takagishi, H., Sakagami, M., & Yamagishi, T, Social Value Orientation is Associated with the Role of Right Dorsolateral Prefrontal Cortex in Prosocial Behavior, The 19th annual meeting of the Society for Personality and Social Psychology, 2018, Atlanta BibTeX
  377. 377. Kurikawa T, Handa T, Fukai T, Different neural landscape regulates individual differences in sensory-guided decision making, Computational and Systems Neuroscience (Cosyne) 2018, 2018, Denver, USA BibTeX
  378. 378. Fung CC, Fukai T, Discrete-attractor-like motion in continuous-attractor neural field models, Computational and Systems Neuroscience (Cosyne) 2018, 2018, Denver, USA BibTeX
  379. 379. Fukai T, Information transfer during slow oscillations in cortical networks, The 4th CiNet Conference, 2018, Osaka, Japan, invited BibTeX
  380. 380. Kurikawa T, Fukai T, Dynamic modulation in communications between Hippocampus and Medial entorhinal cortex depending on cognitive state, The 4th CiNet Conference, 2018, Osaka, Japan BibTeX
  381. 381. *Shinsuke Suzuki, Value computation in the human brain: its basis and contagious nature, Neuroeconomics Seminar, 2018, Zurich, Switzerland, invited BibTeX
  382. 382. *Hiroaki Shioya, Yutaka Matsuo, Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity, International Conference of Learning Representation, 2018, Vancouver,Canada, reviewed BibTeX
  383. 383. Fukai T, Reservoir computing for chunking and decision-making, Colloquium at Laboratoire de Neurosciences Cognitives, 2018, Paris, France, invited BibTeX
  384. 384. *Joji Toyama, Yutaka Matsuo, Expert-based reward function training: the novel method to train sequence generators, International Conference of Learning Representation, 2018, Vancouver,Canada, reviewed BibTeX
  385. 385. Fukai T, Sequence learning through reverse replay and preplay in hippocampal circuit models., Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 2018, Barcelona, Spain, invited BibTeX
  386. 386. Fukai T, Dendritic canonical correlation analysis for memory and sensory information processing., Dendritic integration and computation with active dendrites, 2018, Paris, France, invited BibTeX
  387. 387. Ryosuke Tanno*, Keiji Yanai, AR deepcaloriecam: an iOS app for food calorie estimation with augmented reality, The International Multimedia Modeling Conference (MMM), 2018, Bangkok, Thailand, reviewed BibTeX
  388. 388. *Gomi H, Output Modality Dependent Visual Motion Analysis in the Brain, Brain and AI symposium by Korea Society of Brain and Nerve 2018, 2018, Korea, Invited talk BibTeX
  389. 389. Doya K, Neural circuits for reinforcement learning and mental simulation, Brain and AI Symposium Korea, 2018, 2018.1.30, Gold Hall and Ruby Hall, WellyHilly park, South Korea, invited BibTeX
  390. 390. *Jun Morimoto, Learning assistive strategies for BMI exoskeleton robots, 2018 Brain and AI Symposium (2018/1/30-31), 2018, Kangwon Province, Korea, invited BibTeX
  391. 391. Masamichi Sakagami, Decoding the value related signal represented in multiple areas of the prefrontal cortex using ECoG electrodes, Joint Workshop on AI Flagship Project for Interaction(3)& Emotion(4) and AI & Brain Science Project2018, 2018, Kangwon, Korea, invited BibTeX
  392. 392. Masamichi Sakagami, Multiple Neural Circuits In Value-based Decision Making, Brain Engineering Society of Korea(BESK) Brain AI Symposium, 2018, Kangwon, Korea, invited BibTeX
  393. 393. Doya K, What should we further learn from the brain?, Joint Workshop of Krean AI flagship Project and Japanese AI and Brain Scinece Project, 2018, 2018.1.29, WellyHilly park, South Korea, oral BibTeX
  394. 394. T. Yanagisawa, Brain-machine interface to modulate cortical functions, Biomedical engineering seminar, epilepsy and brain machine interfaces, 2018, Ian Potter Auditorium, Melbourne Brain Center, invited BibTeX
  395. 395. Doya K, Neural circuits for reinforcement learning and mental simulation, SCiNDU: Systems & Computational Neuroscience Down Under, 2017, 2017.12.14, Queensland Brain Institute, The University of Queensland, Brisbane, Australia, invited BibTeX
  396. 396. *Hikida T, Macpherson T, Nucleus accumbens D1 receptor expressing neurons control sutoshaping behavior, 56th Annual Meeting of the American College of Neuropsychopharmacology, 2017, poster BibTeX
  397. 397. Macpherson T, *Hikida T, Dopamine D2L receptors control flexible behavior, OU-ANU 2nd joint symposium Protein Structure and Function, 2017, poster BibTeX
  398. 398. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Toshiki Yoshimine, Yukiyasu Kamitani, Youichi Saitoh, MEG-Neurofeedback for phantom limb pain, rtFIN, 2017, ATR, Kyoto, invited BibTeX
  399. 399. Tadahiro Taniguchi, Symbol Emergence in Robotics:from sensorimotor information to language, Neurobiology and Neuroinformatics 2017 (NBNI2017), 2017, Wako, Japan, invited BibTeX
  400. 400. Fukai T, Unsupervised reservoir computing for chunking sequence information., NBNI 2017, 2017, Wako, Japan BibTeX
  401. 401. Tanaka S, Kawasaki K, Hasegawa I, Suzuki T, Kawato M and Sakagami M, Elucidating the role of the macaque lateral prefrontal cortex for the value-based decision making using the decoded neurofeeback, real-time Functional Neuroimaging and Neurofeedback 2017, 2017, Nara BibTeX
  402. 402. *Hirayama J, Ogawa T, Moriya H, Hyvärinen A, Kawanabe M, Exploring EEG source resting-state networks by SPLICE: A simultaneous fMRI study, Real-time Functional Imaging and Neurofeedback Conference (rtFIN2017), 2017, 奈良, reviewed poster BibTeX
  403. 403. *Ogawa T, Moriya H, Yamada T, Kawanabe M, Hirayama J, Prediction of resting state fMRI signatures from EEG signal: a study of EEG-fMRI simultaneous recording, Real-time Functional Imaging and Neurofeedback Conference (rtFIN2017), 2017, 奈良, reviewed poster BibTeX
  404. 404. *Moriya H, Ogawa T, Kawanabe M, Hirayama J, Predictability of amygdala BOLD signal from multiple-electrode EEGs, Real-time Functional Imaging and Neurofeedback Conference (rtFIN2017), 2017, 奈良, reviewed poster BibTeX
  405. 405. *Hikida T, Basal ganglia network mechanisms in cognitive learning, 12th International Symposium of the Institute Network –Driving Next-Generation Medicine: the Spirit of Pioneering Discovery in Medical Science, 2017, invited BibTeX
  406. 406. T. Yanagisawa, R. Fukuma, B. Seymour, K. Hosomi, H. Kishima, T. Shimizu, H. Yokoi, M. Hirata, T. Yoshimine, Y. Kamitani, Y. Saitoh, MEG-based BMI controlled the sensorimotor cortical plasticity and phantom limb pain, rtFIN satellite symposium on brain-computer interface and neurofeedback, 2017, ATR, Kyoto, invited BibTeX
  407. 407. Ikegami, T, Life as an Emergent Phenomenon: Studies From Large-Scale Boid Simulation and Web Data, IEEE Symposium on Artificial Life (2017/11/27-12/1), 2017, Hawaii, USA, invited BibTeX
  408. 408. *Reinke C, Doya K, Adaptation of Optimization Algorithms to Problem Domains by Transfer Learning, 2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2017, 2017.11.24, OIST, poster BibTeX
  409. 409. *Benucci A., Sensory Representation Plasticity Driven by Single Neurons in the Mouse Cortex, invited talk, University of California San Francisco, 2017, San Francisco, CA, Invited talk BibTeX
  410. 410. Doya K, What can we further learn from the brain?, 24th International Conference on Neural Information Processing ICONIP2017, 2017, 2017.11.16, Guangzhou, China, invited BibTeX
  411. 411. *Jun-ichiro FURUKAWA, Asuka TAKAI,Jun MORIMOTO, Database-driven approach for biosignal-based robot control with collaborative filtering, IEEE-RAS International Conference on Humanoid Robots(Humanoids2017), 2017, Birmingham, UK, reviewed# BibTeX
  412. 412. Takaya Ogasawara, Masahiko Takada, *Masayuki Matsumoto, The nigrostriatal dopamine pathway transmits a stop signal during the performance of a saccadic countermanding task in monkeys, Society for Neuroscience, 2017, Washington DC, USA, poster BibTeX
  413. 413. Haga T, Fukai T, Reverse replay strengthens forward pathways to reward through Hebbian learning and short-term depression., Neuroscience 2017, 2017, Washingon, D.C., U.S.A. BibTeX
  414. 414. *Yoshizawa T, Ito M, Doya K, Neural representation of sensory-state value in the striatal striosome compartment, Society for Neuroscience 47th Annual Meeting, 2017, 2017.11.14, Walter E. Washington Convention Center, Washington DC, USA, poster BibTeX
  415. 415. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms for deciding with predicting others in human brain, The 47th Annual Meeting of the Society for Neuroscience (sfn 2017), 2017, Washington DC, USA, poster BibTeX
  416. 416. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms for converting social value into one’s own decision value, The 47th Annual Meeting of the Society for Neuroscience (sfn 2017), 2017, Washington DC, USA, poster BibTeX
  417. 417. Tanaka S, Kawasaki K, Hasegawa I, Suzuki T, Kawato M and Sakagami M, Spatial and temporal distribution of value-related and the visual information in the macaque lateral prefrontal cortex, Neuroscience 2017, the 47th annual meeting of the Society for Neuroscience, 2017, Washington DC BibTeX
  418. 418. Misako Komatsu, Noritaka Ichinohe, An anesthetic dose of ketamine disrupts mismatch activity in common marmosets, Neuroscience 2017, 2017, Washingtom, USA, poster BibTeX
  419. 419. Tsubota T., *Benucci A., Plasticity for stimulus selectivity in the visual cortex of adult mice induced by patterned optogenetic stimulation, Neuroscience 2017, 2017, Washington DC BibTeX
  420. 420. Asabuki T, Fukai T, Chunk learning from complex sequences by mutually supervising recurrent neural networks, Neuroscience 2017, 2017, Washingon, D.C., U.S.A. BibTeX
  421. 421. DeCostanzo A, Fukai T, A local supervised learning rule protects memories from catastrophic interference during subsequent unsupervised learning., Neuroscience 2017, 2017, Washingon, D.C., U.S.A. BibTeX
  422. 422. Watanabe K, Haga T, Tatsuno M, Euston DR, Fukai T, Blind detection of behavior related population activity by using edit similarity measurement and statistical modeling., Neuroscience 2017, 2017, Washingon, D.C., U.S.A. BibTeX
  423. 423. Uezono S, Tanabe S, Fujiwara M, Tsuge H, Nakamura K, Inoue K, Takada M, Organization of multisynaptic inputs from the basal ganglia and cerebellum to the anterior and posterior cingulate cortical areas in common marmosets: Retrograde transneuronal double labeling with fluorescent rabies viral vectors., Neuroscience 2017, 2017, Washington, DC, USA, poster BibTeX
  424. 424. Takaya Ogasawara, Masahiko Takada, Masayuki Matsumoto, The nigrostriatal dopamine pathway transmits a stop signal during the performance of a saccadic countermanding task in monkeys, 2017, Society for Neuroscience BibTeX
  425. 425. Inoue K, Fujiwara M, Uezono S, Tanabe S, Ishida H, Hoshi E, Takada M, Arrangement of multisynaptic inputs from the basal ganglia to the dorsal and ventral premotor cortical areas in macaques: retrograde transneuronal double labeling with fluorescent rabies viral vectors., Neuroscience 2017, 2017, Washington, DC, USA, poster BibTeX
  426. 426. *Lehky SR, Phan A, Cichocki A, Tanaka K, Coding of faces by tensor components, 2017, poster BibTeX
  427. 427. Kurikawa T, Handa T, Fukai T, Instability of neural trajectories in medial frontal cortex predicts individual differences in perceptual decision making., Neuroscience 2017, 2017, Washingon, D.C., U.S.A. BibTeX
  428. 428. Matsumoto J, Nishimaru H, Takamura Y, Mimura K, Asaba A, Suzuki W, Ichinohe N, Minamimoto T, Ono T, *Nishijo H, 3D-Tracker, an open-source 3D video based behavioral analysis system for laboratory animals for neuroscience, 2017, Washington DC, US BibTeX
  429. 429. Abekawa Naotoshi, Gomi Hiroaki, Modulation difference in visuomotor responses in implicit and explicit motor tasks depending on postural stability, Annual Meeting of the Society for Neuroscience (2017/11/11-15), 2017 BibTeX
  430. 430. Ito Sho, Gomi Hiroaki, Rotated visual feedback of self-movement affects long-latency stretch reflex, Annual Meeting of the Society for Neuroscience (2017/11/11-15), 2017 BibTeX
  431. 431. Takamuku Shinya, Abekawa Naotoshi,Gomi Hiroaki, Automatic adjustment of walking speed by optic flow benefits from binocular vision, Annual Meeting of the Society for Neuroscience (2017/11/11-15), 2017 BibTeX
  432. 432. Ueda Hiroshi, Abekawa Naotoshi,Gomi Hiroaki, Temporal development of an interaction effect between internal motion and contour signals of drifting target on reaching adjustment, Annual Meeting of the Society for Neuroscience (2017/11/11-15), 2017 BibTeX
  433. 433. Macpherson T, *Hikida T, Nucleus Accumbens D1 receptor expressing neurons control autoshaping behavior, Neuroscience 2017, 2017, poster BibTeX
  434. 434. *Nakajima H, Nakamura S, Kita A, Itakura M, Senami C, Kuwamura M, Hikida T, Azuma Y-T, Takeuchi T, Blockade of GAPDH nuclear translocation in the hippocampus contributes to anti-depressant-like action in stressed mice, Neuroscience 2017, 2017, poster BibTeX
  435. 435. Inoue K, Pathway-selective optogenetics for elucidating neural network function in primates., Neuroscience 2017, 2017, Washington, DC, USA, invited BibTeX
  436. 436. *Parmas P, Peters J, Doya K, The optimal-baseline estimator is not the optimal baseline-estimator, Information-based induction sciences workshop (IBIS), 2017, 2017.11.10, Tokyo, Japan, poster BibTeX
  437. 437. T. Yoshimoto, J. Chikazoe, S. Okazaki, M. Sumiya, H. K. Takahashi, E. Nakagawa, T. Koike, R. Kitada, S. Okamoto, M. Nakata, H, Kosaka, T. Yada, N. Sadato, Abstractness of value representation in orbitofrontal cortex, The 47th annual meeting of Society for Neuroscience, 2017, Washinton D. C., poster BibTeX
  438. 438. Mao Noguchi, So Fujimoto, Akihiko Nikkuni, Yutaka Komura*, Core of neural network for conscious states and percepts in primate, Conscious Research Network, 2017, Taipei, Taiwan, invited BibTeX
  439. 439. *S. Hashimoto, I. Kobayashi, A basic study on action control using deep reinforcement learning, The 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2017), 2017, Beijing, China, reviewed BibTeX
  440. 440. Wataru Shimoda*, Keiji Yanai, Predicting segmentation easiness from the consistency for weakly-supervised segmentation, Asian Conference on Pattern Recognition (ACPR), 2017, Nanjing, China, reviewed BibTeX
  441. 441. Takumi Ege*, Keiji Yanai, Estimating food calories for multiple-dish food photos, Asian Conference on Pattern Recognition (ACPR), 2017, Nanjing, China, reviewed# BibTeX
  442. 442. *Hikida T, Neuronal circuit mechanisms in reward and aversive behavior, Taiwan-Japan Biomedicine Conference NTHU-OU bilateral symposium 2017, 2017, invited BibTeX
  443. 443. *Masumori, A., Maruyama, N., Mita, T., Bakkum, D., Frey, U., Takahashi, H.,& Ikegami, T, Learning by Stimulation Avoidance in Cultured Neuronal Cells, The 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics(SWARM 2017), 2017, 京都, reviewed, oral BibTeX
  444. 444. *Maruyama, N., Hashimoto, Y., Mototake, Y., Saito, D., & Ikegami, T, Revisiting Classification of Large Scale Flocking, The 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics(SWARM 2017), 2017, 京都, reviewed BibTeX
  445. 445. *Hashimoto, Y., Ikegami, T, Novelty production in tagging crowds, The 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics(SWARM 2017), 2017, 京都, reviewed BibTeX
  446. 446. Tadahiro Taniguchi, Symbol Emergence in Robotics:Representation Learning for Real-world Communication and Collaboration, International Field Robotics Forum 2017, 2017, Seoul, Korea, keynote BibTeX
  447. 447. Tanno, T., Horie, K., Izawa, J. and Morita, M, Robustness of Selective Desensitization Perceptron Against Irrelevant and Partially Relevant Features in Pattern Classification, In International Conference on Neural Information Processing, 2017 BibTeX
  448. 448. *Reinke C, Uchibe E, Doya K, Average Reward Optimization with Multiple Discounting Reinforcement Learners, ICONIP (Lecture Notes in Computer Science), 2017, 2017.10.24, Guangzhou, China, oral BibTeX
  449. 449. Doya K, Artificial Intelligence and Brain Science, Seminar, 2017, 2017.10.19, Kyungpook National University, Daegu, Korea, seminar BibTeX
  450. 450. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, 2017, Sapporo, invited BibTeX
  451. 451. Takanori Uka, Neural mechanism of flexible sensory decision making, The 12th Biennial Conference of Chinese Neuroscience Society, 2017, Tianjin, CHINA, invited BibTeX
  452. 452. *Uchibe E, Deep inverse reinforcement learning, 3rd International Workshop on Intrinsically Motivated Open-ended learning, 2017, Rome, Italy, oral, invited BibTeX
  453. 453. Masamichi Sakagami, Dissociable functions of reward inference in the lateral prefrontal cortex and the striatum, The 44th Naito Conference on Decision Making in the Brain-Motivation, Prediction, and Learning, 2017, Sapporo, invited BibTeX
  454. 454. *Yoshizawa T, Ito M, Doya K, Coding of value information in the striatal striosome compartment, 44th Naito Conference, 2017, 2017.10.4, CHÂTERAISÉ Gateaux Kingdom SAPPORO, Japan, poster BibTeX
  455. 455. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control Pavlovian approach behaviour, The 44th Naito Conference, Decision Making in the Brain -Motivation, Prediction, and Learning, 2017, poster BibTeX
  456. 456. Ikegami, T, THE FUTURE OF AI IN THE ARTS , Japan Foundation Sydeny, 2017, Sydney, Australia, invited BibTeX
  457. 457. Takufumi Yanagisawa, BMI robotic hand controls phantom limb pain, Yamada Symposium 2017 on neuroimaging of natural behaviors, 2017, Ookayama, Japan, invited BibTeX
  458. 458. Takumi Ege*, Keiji Yanai, Image-based food calorie estimation using knowledge on food categories, ingredients and cooking directions, ACM Multimedia Thematic Workshops on Understanding, 2017, Mountain View, CA, USA, reviewed# BibTeX
  459. 459. Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, and Tetsunari Inamura, SpCoSLAM: Online Multimodal Place Categorization, Spatial Lexical Acquisition and Mapping by a Mobile Robot, 2nd Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics (ML-HLCR 2017), 2017, Vancouver, Canada, reviewed BibTeX
  460. 460. *Masashi HAMAYA, Takamitsu MATSUBARA, Tomoyuki NODA,Tatsuya TERAMAE,Jun MORIMOTO, User-robot collaborative excitation for PAM model identification in exoskeleton robots, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2017), 2017, Vancouver, Canada, reviewed# BibTeX
  461. 461. Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi and Tetsunari Inamura, Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017, Vancouver, Canada, reviewed BibTeX
  462. 462. Y. Miyuki, Y. Hagiwara, *T. Taniguchi, Unsupervised learning for spoken word production based on simultaneous word and phoneme discovery without transcribed data, IEEE International Conference on Development and Learning and the International Conference on Epigenetic Robotics (ICDL-EpiRob2017), 2017, Lisbon, Portugal, reviewed BibTeX
  463. 463. Y. Tada, Y. Hagiwara, *T. Taniguchi, Comparative study of feature extraction methods for direct word discovery with npb-daa from natural speech signals, IEEE International Conference on Development and Learning and the International Conference on Epigenetic Robotics (ICDL-EpiRob2017), 2017, Lisbon, Portugal, reviewed BibTeX
  464. 464. Hayakawa T, Fukai T, Interplay of microscopic and macroscopic dynamics in randomly connected neuronal networks. , Bernstein Conference 2017, 2017, Goettingen, Germany BibTeX
  465. 465. Inoue K, Pathway-selective manipulation of neural circuits, NIMH Workshop “Neural Circuits: Gaps and Opportunities”, 2017, Bethesda, USA, invited BibTeX
  466. 466. *Sinapayen, L., & Ikegami, T, Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network, 14th European Conference on Artificial Life(ECAL2017), 2017, Lyon, France, reviewed BibTeX
  467. 467. *Hiroki Kojima,Takashi Ikegami, VAEGAN as a New Perception Model, ECAL, Late-Breaking, 2017, Lyon, France, reviewed BibTeX
  468. 468. *Masumori, A., Sinapayen, L., & Ikegami, T, Learning by Stimulation Avoidance Scale to Large Neural Networks, 14th European Conference on Artificial Life, 14th European Conference on Artificial Life(ECAL2017), 2017, Lyon, France, reviewed, oral BibTeX
  469. 469. *Doi, I., Ikegami, T., Masumori, A., Kojima, H., Ogawa K., & Ishiguro, H, A new design principle for an autonomous robot, 14th European Conference on Artificial Life(ECAL2017), 2017, Lyon, France, reviewed, poster BibTeX
  470. 470. *Lana Sinapayen, Takashi Ikegami, Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network, Proc of the 14th European Conference on Artificial Life (ECAL2017), 2017, Lyon, France, oral BibTeX
  471. 471. *Nakahara H, Reinforcement learning with environmental structures and mind of others, The 11th International Conference on Cognitive Science (ICCS 2017), 2017, Taipei, Taiwan, oral, invited BibTeX
  472. 472. Akihiko Nikkuni, Yutaka Komura*, Self-evaluation in vision in monkeys and humans, ICCS, 2017, Taipei, Taiwan, invited BibTeX
  473. 473. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control attribution of incentive salience in an autoshaping task, EBPS Biennial meeting 2017, 2017, poster BibTeX
  474. 474. Takumi Ege*, Keiji Yanai, Comparison of two approaches for direct food calorie estimation, International Workshop on Multimedia Assisted Dietary Management (MADIMA), 2017, Catania, Italy, reviewed# BibTeX
  475. 475. Ikegami, T, Passive Touch, Stimulus Avoidance, and the Android “Alter”, International Society for Theoretical Psychology (2017/8/21-25), 2017, Tokyo, Japan, invited BibTeX
  476. 476. Doya K, Reinforcement learning: basic concepts and recent advances, Workshop on “Human & Machine Learning”, 2017, 2017.8.16-18, Beijing Institute of Technology, China, invited BibTeX
  477. 477. Doya K, Neural mechanisms of reinforcement learning and mental simulation, Workshop on “Human & Machine Learning”, 2017, 2017.8.16-18, Beijing Institute of Technology, China, invited BibTeX
  478. 478. T. Yanagisawa, R. Fukuma, B. Seymour, K. Hosomi, H. Kishima, T. Shimizu, H. Yokoi, M. Hirata, T. Yoshimine, Y. Kamitani, Y. Saitoh, Magnetoencephalographic-based brain–machine interface robotic hand for controlling sensorimotor cortical plasticity and phantom limb pain, ECCN, 2017, Budapest, invited BibTeX
  479. 479. Mimura K, Sato C, Matsumoto J, Aoki I, Ichinohe N, Suhara T, *Minamimoto T, Atypical Behavioral and Neural Phenotypes in a Common Marmoset Model of Autism Spectrum Disorder, 2017, Yokohama, Japan, invited BibTeX
  480. 480. Doya K, Decoding the contents of mental simulation, Neuroscience 2017 Sattelite Symposium: Computational Principles of the Nervous System, 2017, 2017.7.24, University of Tokyo, Tokyo, invited BibTeX
  481. 481. Doya K, Neural coding, brain imaging and information extraction by circuit modeling, Neuroscience 2017 Sattelite Symposium / CREST Symposium, 2017, invited BibTeX
  482. 482. Asabuki T, Hiratani N, Fukai T, Chunking by mutual supervision in reservoir computing., Topical Problems of Nonlinear Wave Physics (NWP-2017) – Nonlinear Dynamics and Complexity (NWP-1), 2017, Moscow-St. Petersburg, Russia, invited BibTeX
  483. 483. Tohru Kurotani, Toshiki Tani, Kazuhisa Sakai, Naoto Kitamura, Hiroshi Abe, Misako Komatsu, Noritaka Ichinohe, Intrinsic functional connectivity in cortical area 24 of the common marmoset investigated by optical mapping, The 40nd Annual Meeting of the Japan Neuroscience Society, 2017, Chiba, poster BibTeX
  484. 484. Doya K, Exploring the deep brain network for reinforcement learning, Neuroscience 2017; 40th Annual Meeting of the Japan Neuroscience Society; Luncheon Seminar: From mouse to monkey: illuminating neural circuits in action, 2017, 2017.7.21, Makuhari Messe, Chiba, invited BibTeX
  485. 485. Misako Komatsu, Eriko Sugano, Noritaka Ichinohe, Hiroshi Tomita, Naotaka Fujii, Whole-cortical recordings reveal spreading photo-stimulation effects: A optogenetics study in marmosets, The 40nd Annual Meeting of the Japan Neuroscience Society, 2017, Chiba, poster BibTeX
  486. 486. Hamaguchi K, Tanaka M, *Mooney R, Brain cooling and intracellular recording in singing birds revealed distributed coding of song timing,, The 40th Annual Meeting of the Japan Neuroscience Society, 2017, Makuhari, Japan, poster BibTeX
  487. 487. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H., Neural processes for converting social value into one’s own decision value, The 40th Annual Meeting of the Japan Neuroscience Society, 2017, Ciba, Japan, poster BibTeX
  488. 488. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms of predicting others’ decisions for one’s better decisions, The 40th Annual Meeting of the Japan Neuroscience Society, 2017, Ciba, Japan, poster BibTeX
  489. 489. Tanaka S, Kawasaki K, Hasegawa I, Suzuki T, Kawato M and Sakagami M, Distribution of value related information in the multiple areas of the macaque prefrontal cortex, The 40th Annual Meeting of the Japan Neuroscience Society, 2017, Chiba BibTeX
  490. 490. *Tanaka K, Object recognition in inferotemporal cortex: from visual features to semantics, 2017, invited plenary lecture BibTeX
  491. 491. *Benucci A., Plasticity for stimulus selectivity in the visual cortex of adult mice induced by patterned optogenetic stimulation, Asia Pacific Conference on Vision, 2017, Tainan, Taiwan, Invited talk BibTeX
  492. 492. *Uchibe E, Doya K, Model-free deep inverse reinforcement learning by logistic regression, Proc. of the 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making, 2017, reviewed# BibTeX
  493. 493. Doya K, What should we further learn from the brain?, Brain-AI Workshop, 2017, 2017.7.7, NYU Shanghai, Shanghai, China, invited BibTeX
  494. 494. *Nakahara H, Learning to make reward-guided decisions: sequential, successive, and social, 2017 Brain-AI Workshop, 2017, Shanghai, China, oral, invited BibTeX
  495. 495. Doya K, What should we further learn from the brain?, Korean AI Flagship Project Workshop, 2017, 2017.7.3, Kyungpook National University, Daegu, Korea, invited BibTeX
  496. 496. *Tanaka K, Object recognition in inferotemporal cortex: from visual features to semantics, 2017, invited plenary lecture BibTeX
  497. 497. *M. Shirasuna, H. Honda, T. Matsuka, K. Ueda, Familiarity-matching in decision making: experimental studies on cognitive processes and analyses of its ecological rationality, the 39th Annual Conference of the Cognitive Science Society(COGSCI2017), 2017, London, UK, reviewed BibTeX
  498. 498. *H. Honda, T. Matsuka, K. Ueda, Decisions based on verbal probabilities: decision bias or decision by sampling?, the 39th Annual Conference of the Cognitive Science Society(COGSCI2017), 2017, London, UK, reviewed BibTeX
  499. 499. Shin Matsuo, Wataru Shimoda*, Keiji Yanai, Partial style transfer using weakly-supervised semantic segmentation, ICME Workshop on Multimedia Artworks Analysis (MMArt), 2017, Hong Kong, reviewed BibTeX
  500. 500. Inoue K, Fujiwara M, Uezono S, Tanabe S, Ishida H, Hoshi E, Takada M, Organization of multisynaptic inputs from the basal ganglia to the premotor cortex in macaque monkeys – Retrograde transneuronal dual tracing using rabies viral vectors., Cold Spring Harbor Asia Conference: Primate Neuroscience, 2017, 蘇州市, 中華人民共和国, poster BibTeX
  501. 501. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control incentive salience to reward-predictive cues, IBNS2017, 2017, invited BibTeX
  502. 502. *Hikida T, Morita M, Macpherson T, D2L receptor-expressing striatal neurons control visual discrimination learning in a touchscreen operant system, IBNS2017, 2017, oral BibTeX
  503. 503. Ishida H, Inoue K, Hoshi E, Takada M, Cells of origin of multisynaptic projections from amygdala to ventral premotor cortex in macaques, Different elements of Primate Neural Networks in the Connectome Era, 2017, Sicily, Italy, poster BibTeX
  504. 504. Masamichi Sakagami, Categorical coding of stimulus and inference of the value in the monkey lateral prefrontal cortex, Max Pranck Institute Germany招聘講演, 2017, Germany, invited BibTeX
  505. 505. Shinomoto S, Inferring the source of fluctuation in neuronal activity, ICERM on Integrating Dynamics and Statistics in Neuroscience (2017/6/19-8/11), 2017, Providence, USA, invited BibTeX
  506. 506. *Reinke C, Uchibe E, Doya K, Fast Adaptation of Behavior to Changing Goals with a Gamma Ensemble, 3rd Multidisciplinary conference on reinforcement learning and decision making, 2017, 2017.6.12, University of Michigan, Ann Arbor, Michigan, USA, poster BibTeX
  507. 507. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms for social value conversion in decision-making, 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2017), 2017, Michigan, USA, poster BibTeX
  508. 508. *Koji ISHIHARA,Jun-ichiro FURUKAWA,Jun MORIMOTO, A forward and inverse optimal control framework to generate humanoid robot movements with hierarchical MPC, 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making(RLDM2017), 2017, Michigan, USA, reviewed# BibTeX
  509. 509. Tadahiro Taniguchi, Semantic Segmentation of Driving Behavior Data: Double Articulation Analyzer and its Application, The 4th Workshop on Naturalistic Driving Data Analytics, IEEE Intelligent Vehicle 2017 (IV2017), 2017, California, USA, invited BibTeX
  510. 510. Keiji Yanai*, Ryosuke Tanno, Conditional fast style transfer network, ACM International Conference on Multimedia Retrieval (ICMR), 2017, Bucharest, Romania, reviewed BibTeX
  511. 511. *Masashi HAMAYA, Takamitsu MATSUBARA, Tomoyuki NODA,Tatsuya TERAMAE,Jun MORIMOTO, Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning, IEEE International Conference on Robotics and Automation(ICRA2017), 2017, Singapore, reviewed# BibTeX
  512. 512. *Rok Pahic, Jan Babic, Tadej Petric, Luka Peternel, Jun Morimoto, Power-augmentation control approach for arm exoskeleton based on human muscular manipulability, IEEE International Conference on Robotics and Automation(ICRA2017), 2017, Marina Bay Sands, Singapore, reviewed BibTeX
  513. 513. Mimura K, Nakagaki K, *Ichinohe N, Distrbed Vocal Communication in Common Marmoset Family with an Autism-Model Child, 2017, St. Petersburg, Russia, invited BibTeX
  514. 514. *Nakahara H, Neural computations underlying social decision-making, The Seventh International Symposium on “Biology of Decision Making” (SBDM 2017), 2017, Bordeaux, France, oral, invited BibTeX
  515. 515. Masamichi Sakagami, Categorical Coding of Stimulus and Inference of the Value in the Monkey Lateral Prefrontal Cortex, Joint Workshop on AI and Neuroscience, 2017, England BibTeX
  516. 516. Tadahiro Taniguchi, Symbol Emergence in Robotics: Language Acquisition via Real-world Sensorimotor Information, Gatsby-Kaken Joint Workshop on AI and Neuroscience, 2017, London, UK, invited BibTeX
  517. 517. *Nakahara H, Learning to make reward-guided decisions: sequential, successive, and social, Gatsby-Kaken Joint Workshop on AI and Neuroscience, 2017, London, Britain, oral, invited BibTeX
  518. 518. Hidehiko Takahashi, The interface between AI and psychiatry (schizophrenia) research, Gatsby-Kaken Joint Workshop on AI and Neuroscience, 2017, London, UK, invited BibTeX
  519. 519. *Jun Morimoto, Motor learning methods for humanoid control, Gatsby-Kakenhi Joint Workshop on AI and Neuroscience, 2017, London, UK, invited BibTeX
  520. 520. Takumi Ege*, Keiji Yanai, Simultaneous estimation of food categories and calories with multi-task CNN, IAPR International Conference on Machine Vision Applications (MVA), 2017, Nagoya, Japan, reviewed BibTeX
  521. 521. *Waggoner RA, Ueno K, Pfeuffer J, Tanaka K, Cheng K, High-resolution fMRI of the visual system at 3T using zoomed excitation via Tx-SENSE, 2017, reviewed poster BibTeX
  522. 522. *Gupta S, Waggoner RA, Tanaka K, Cheng K, Variation of RF-induced temperature increase in a phantom: comparison of numerical simulations, MR thermometry and measurements from temperature sensors, 2017, reviewed poster BibTeX
  523. 523. Haga T, Fukai T, Dendritic computing gives a meso-scopic level framework of brain’s leaning rule. , Forum on Cognitive Neuroscience in Hangzhou, 2017, Hangzhou, China, invited BibTeX
  524. 524. Masamichi Sakagami, The reward prediction error signal of midbrain dopamine neuron is modulated by the cost paid for the reward, The Forum on Cognitive Neuroscience Frontier, 2017, China, invited BibTeX
  525. 525. J. Chikazoe, Integrated Taste Type Representations in Human Insula, 2017 Yonsei Univ-Korea Univ-NIPS Symposium, 2017, Seoul, oral BibTeX
  526. 526. T. Yoshimoto, J. Chikazoe, S. Okazaki, M. Sumiya, H. K. Takahashi, E. Nakagawa, T. Koike, R. Kitada, S. Okamoto, M. Nakata, H, Kosaka, T. Yada, N. Sadato, State-dependent and -independent representations of food revealed by multi voxel pattern analysis, 2017 Yonsei Univ-Korea Univ-NIPS Symposium, 2017, Seoul, poster BibTeX
  527. 527. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, Naito Coference, 2017, Sapporo, Japan, invited BibTeX
  528. 528. Keiji Yanai*, Unseen style transfer based on a conditional fast style transfer network, International Conference on Learning Representation Workshop Track (ICLR WS), 2017, Toulon, France, reviewed BibTeX
  529. 529. Shin Matsuo, Wataru Shimoda*, Keiji Yanai, Twitter photo geo-localization using both textual and visual features, International Conference on Multimedia Big Data (BIGMM), 2017, Laguna Hills, CA, USA, reviewed BibTeX
  530. 530. Wataru Shimoda*, Keiji Yanai, Learning food image similarity for food image retrieval, International Conference on Multimedia Big Data (BIGMM), 2017, Laguna Hills, CA, USA, reviewed BibTeX
  531. 531. Doya K, Coding of action and state values in the striatal compartments, 12th International Basal Ganglia Society Meeting – IBAGS 2017, 2017, 2017.3.29, Merida, Mexico, invited BibTeX
  532. 532. *Tanaka K, Changes in deoxygenation level of bloods and cortical tissues following neuronal activity changes as the bases for intrinsic optical recordings and fMRI, 2017, invited oral BibTeX
  533. 533. Shinomoto S, Emergence of cascades in the linear and nonlinear Hawkes processes, Brain Dynamics and Statistics: Simulation versus Data (2017/2/26-3/3), 2017, Banff, Canada, invited BibTeX
  534. 534. *Koji Ishihara,Jun Morimoto, A hierarchical model predictive control approach to generate biped robot movements in real-time, IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots(SIMPAR2016) Workshop, 2016, San Francisco, USA, reviewed# BibTeX
  535. 535. *Nakahara H, Neural computations for making decisions with others’ choice and reward, Workshop “Arrowhead 10 years on: what have we learned and what is there still to learn about the neural bases of decision-making?, 2016, Sydney, Australia, oral, invited BibTeX
  536. 536. Masamichi Sakagami, Signal interaction between primate prefrontal cortex and striatum in an asymmetric reward task, Neural Basis for Decision Making Conference 2016, 2016, Sydney BibTeX
  537. 537. Hidehiko Takahashi, Flexible modulation of risk attitude during decision-making under quota and its disorder, Arrowhead 10 years on: What have we learned and what is there still to learn about the neural bases of decision-making?, 2016, Sydney, Australia, invited BibTeX
  538. 538. *Hikida T, Yao S, Fukakusa A, Morita M, Kimura H, Hirai K, Ando T, Toyoshiba H, Sawa A, Expression changes in prefrontal cortex after neurotransmission blocking of the nucleus accumbens pathways, 55th Annual Meeting of the American College of Neuropsychopharmacology, 2016, poster BibTeX
  539. 539. Masamichi Sakagami, Decoding the value of juice from electrocorticographic signals in monkey prefrontal cortices and its modulation through the decoded neurofeedback, ANS 2016 HOBART Australasian Neuroscience Society 36th Annual Scientific Meeting, 2016, Australia BibTeX
  540. 540. Mineki Oguchi and Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Chemogenetic Double Virus Vector Infection, NHP Chemogenetics workshop 2016, 2016, Bethesda, invited BibTeX
  541. 541. *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens is necessary for behavioral flexibility in an IntelliCage place discrimination task, International Symposium “Wiring and Functional Principles of Neural Circuits, 2016, poster BibTeX
  542. 542. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms for deciding with predicting others, The 46th Annual Meeting of the Society for Neuroscience (sfn 2016), 2016, San Diego, USA., poster BibTeX
  543. 543. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms and computation that mediates value by others’ reward for decision making, The 46th Annual Meeting of the Society for Neuroscience (sfn 2016), 2016, San Diego, USA., poster BibTeX
  544. 544. Mineki Oguchi, Shingo Tanaka, Xiaochuan Pan, Takefumi Kikusui, Shigeki Kato, Kazuto Kobayashi, and Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection , Annual meeting of the Society for Neuroscience 2016, 2016, San Diego BibTeX
  545. 545. *Hikida T, Yao S, Fukakusa A, Morita M, Kimura H, Hirai K, Ando T, Toyoshiba H, Sawa A, Expression changes in prefrontal cortex after neurotransmission blocking of the nucleus accumbens pathways, Neuroscience 2016, 2016, poster BibTeX
  546. 546. Morita M, Macpherson T, Sawa A, *Hikida T, Learning deficits involving nucleus accumbens D2-receptor expressing neurons in a DISC1 mouse model, Neuroscience 2016, 2016, poster BibTeX
  547. 547. Itakura M, Kubo T, Kaneshige A, Azuma Y, Hikida T, Takeuchi T, *Nakajima H, A novel therapeutic target for stroke by inhibition of GAPDH aggregation, Neuroscience 2016, 2016, poster BibTeX
  548. 548. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens is necessary for behavioral flexibility in an IntelliCage place discrimination task, Neuroscience 2016, 2016, invited BibTeX
  549. 549. Akira Taniguchi, Tadahiro Taniguchi, Angelo Cangelosi, Multiple categorization by icub: learning relationships between multiple modalities and words, IROS Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics, 2016, Daejeon,Korea, reviewed BibTeX
  550. 550. Tadahiro Taniguchi, Nonparametric Bayesian Word Discovery for Symbol Emergence in Robotics, Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics 2016 ML-HLCR2016, in IROS2016, 2016, Daejeon, Korea, invited BibTeX
  551. 551. HaiLong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Yuusuke Tanaka, and Takashi Bando, Reducing the negative effect of defective data on driving behavior segmentation via a deep sparse autoencoder, IEEE 5th Global Conference on Consumer Electronics, 2016, Kyoto Japan, reviewed BibTeX
  552. 552. *Ales Ude,Rok VugaA,Bojan Nemec,Jun Morimoto, Trajectory representation by nonlinear scaling of dynamic movement primitives, IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS2016), 2016, Daejeon, Korea, reviewed# BibTeX
  553. 553. *Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto, Learning assistive strategies from a few user-robot interactions: Model-based reinforcement learning approac, IEEE International Conference on Robotics and Automation(ICRA2016), 2016, Daejeon, Korea, reviewed# BibTeX
  554. 554. Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection, Rochester Conte Center Symposium, 2016, Rochester, invited BibTeX
  555. 555. *Tanaka K, Brain Mechanisms of intuitive problem solving in experts, 2016, Invited symposium BibTeX
  556. 556. T. Taniguchi, Symbol emergence in robotics for long-term human-robot collaboration, IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, 2016, Kyoto Japan, reviewed BibTeX
  557. 557. M. Sakagami, Signal Interaction between Primate Prefrontal Cortex and Striatum in Asymmetric Reward Task , The third Conference on Cognitive Neurodynamics , 2016, China, invited BibTeX
  558. 558. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms for decision-making with predicting others: human fMRI, The 39th Annual Meeting of the Japan Neuroscience Society, 2016, Kanagawa, Japan, poster BibTeX
  559. 559. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural computation underlying value-based decisions including rewards to others, The 39th Annual Meeting of the Japan Neuroscience Society, 2016, Kanagawa, Japan, poster BibTeX
  560. 560. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Nucleus accumbens dopamine D2-receptor expressing neurons control behavioural flexibility in a place learning task in the IntelliCage, 10th FENS Forum of Neuroscience, 2016, poster BibTeX
  561. 561. Tanaka S, Oguchi M, Sakagami M, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Virus Vector Infection, The 39th Annual Meeting of the Japan Neuroscience Society, 2016, Yokohama BibTeX
  562. 562. Mineki Oguchi, Shingo Tanaka, Xiaochuan Pan, Takefumi Kikusui, Shigeki Kato, Kazuto Kobayashi, and Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection, The 39th Annual Meeting of the Japan Neuroscience Society, 2016, Yokohama BibTeX
  563. 563. *Waggoner RA, Tanskanen T, Tanaka K, Cheng K, Enhancement of event-related fMRI studies of the human visual system using multi-band EPI, 2016, reviewed poster BibTeX

国内会議講演・口頭発表

  1. 1. N. Iwahashi, H. Okada, K. Funakoshi, Theory of Cooperation: Cognitive and Mathematical Principles of Cooperation and Their Application, 2020年度 人工知能学会全国大会（第34回）, 2020 BibTeX
  2. 2. 冠野仁志，*田口亮, 参照点と座標系を考慮した連続動作の二重分節解析, 情報処理学会 第84回全国大会, 2022 BibTeX
  3. 3. 白砂 大, 本田 秀仁, 松香 敏彦, 植田 一博, そのヒューリスティックは, そもそも使えるのか~正確性と使用可能性に基づくヒューリスティック使用の検証~, 2021年度日本認知科学会第38回大会, 2021 BibTeX
  4. 4. 松香 敏彦 ，エキムジャン ラフィラ, カテゴリー学習における弁別困難な事例の影響, 2021年度日本認知科学会第38回大会, 2021 BibTeX
  5. 5. 三村 喬生*, 機械学習を用いた霊長類の行動記述-自然非言語処理への挑戦-, 第4回 サル脳新技術研究会, 2023 BibTeX
  6. 6. *Hikida T, Nishioka T, Macpherson T, Hamaguchi K, Dopamine neurotransmission mechanisms in the nucleus accumbens for flexible cognitive behavior, 日本生理学会第100回記念大会., 2023 BibTeX
  7. 7. *Masu M, Miya K, Masu K, Okada T, Ohta K, Macpherson T, Hikida T, Suzuki E, Momiyama T, Extracellular sugar modification regulates neuronal signaling in the nucleus accumbens, 日本生理学会第100回記念大会., 2023 BibTeX
  8. 8. *Ozawa T, Shibata T, Oyama Y, Abe M, Goto K, Yonemaru H, Matsumoto Y, Iwamoto R, Sakurai K, Macpherson T, Hikida T, Neural mechanism of salt and umami seeking behavior, 日本生理学会第100回記念大会., 2023 BibTeX
  9. 9. *ShibataT, Ozawa T, Matsumoto Y, Iwamoto R, Oyama Y, Macpherson T, Hikida T, Analysis of expectation-modulated dynamics of dopamine release during food seeking behavior in mice, 日本生理学会第100回記念大会., 2023 BibTeX
  10. 10. *Iwamoto R, Ozawa T, Macpherson T, Hikida T, The analysis of accumbal dopamine dynamics during observational fear in mice, 日本生理学会第100回記念大会., 2023 BibTeX
  11. 11. *Nakagawa I, Ozawa T, Macpherson T, Hikida T, Accumbal dopamine response to salt intake depends on internal sodium level in mice, 日本生理学会第100回記念大会., 2023 BibTeX
  12. 12. *Yonemaru H, Ozawa T, Hikida T, Neonatal MK-801 treatment and peripubertal social isolation increase impulsivity in cliff avoidance response test in adult mice, 日本生理学会第100回記念大会., 2023 BibTeX
  13. 13. *Shimo Y, Ozawa T, Macpherson T, Hikida T, The effect of acute nicotine treatment on visual discrimination and its reversal learning in mice, 日本生理学会第100回記念大会., 2023 BibTeX
  14. 14. 谷口忠大, 社会における分散的ベイズ推論としての記号創発 ～集合的予測符号化としての言語観～, 言語処理学会第29回年次大会(NLP2023), 2023 BibTeX
  15. 15. *Macpherson T, Attachaipanich S, Nishioka T, Ozawa T, Hikida T, Cell-type-specific control of reward and aversive signaling in the nucleus accumbens, 日本生理学会第100回記念大会., 2023 BibTeX
  16. 16. *Matsumoto Y, Ozawa T, Oyama Y, Iwamoto R, Shibata T, Macpherson T, Hikida T, Analysis of prefrontal and accumbal dopamine release dynamics in mice during reward prediction task, 日本生理学会第100回記念大会., 2023 BibTeX
  17. 17. *Umemoto K, Ozawa T, Nakamura M, Matsumoto Y, Shibata T, Iwamoto R, Oyama Y, Macpherson T, Hikida T, Dynamics of cortical, striatal and amygdaloid dopamine release during differential auditory fear conditioning in mice, 日本生理学会第100回記念大会., 2023 BibTeX
  18. 18. *Oyama Y, Aomine Y, Ozawa T, Macpherson T, Hikida T, The effects of DREADD ligands treatments on motivational food seeking in mice, 日本生理学会第100回記念大会., 2023 BibTeX
  19. 19. *Aomine Y, Sakurai K, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Oka M, Hikida T, Motivational increase for sucrose reward and brain network variation in Importin α3 (KPNA3) deficient mice, 日本生理学会第100回記念大会., 2023 BibTeX
  20. 20. 谷口忠大, 認知発達への構成論的アプローチ 発達ロボティクスから記号創発システムまで, 発達心理学会, 2023 BibTeX
  21. 21. Doya K, 人工知能・脳科学・法, 第22回神経法学研究会, 2023 BibTeX
  22. 22. *内田裕輝, 疋田貴俊, 本田学, 山下祐一, うつ病で増減する食欲への内受容感覚変動の寄与：ホメオスタシス強化学習による構成論的理解, CPSYコース東京2023, 2023 BibTeX
  23. 23. 大関洋平, 深層学習時代の心理言語学, 言語処理学会 ワークショップ「深層学習時代の計算言語学」, 2023 BibTeX
  24. 24. 三村喬生*, 松本惇平, 持橋大地, 中村友昭, 平林敏行, 樋口真人, 南本敬史, 教師なし機械学習を用いた霊長類の自由行動解析, 第12回 日本マーモセット研究会, 2023 BibTeX
  25. 25. *疋田貴俊, 側坐核のドーパミン動態の解析, 第19回COCORO会議、第19回脳表現型の分子メカニズム研究会, 2022 BibTeX
  26. 26. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊, 核輸送因子Importinα3/KPNA３欠損による報酬に対する動機づけの上昇とその脳内ネットワーク変化, 第45回日本分子生物学会年会, 2022 BibTeX
  27. 27. *櫻井 航輝, 宮本 洋一, 森田 真規子, マクファーソン トム, 小澤 貴明, 岡 正啓, 疋田 貴俊, 核輸送因子importinα4/KPNA4ノックアウトマウスにおける疾患様行動異常の要員探索, 第45回日本分子生物学会年会, 2022 BibTeX
  28. 28. *Li S, 櫻井 航輝, PAN YUE, Wang Q, 高尾 敏文, 疋田 貴俊, LC-MS/MSによる多発硬化症モデルマウスの網羅的解析, 第45回日本分子生物学会年会, 2022 BibTeX
  29. 29. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊, インポーチンα3（KPNA３）欠損による報酬に対する動機づけの上昇とその脳内ネットワーク変化, 第114回近畿生理学談話会, 2022 BibTeX
  30. 30. 柴田 智弘, *小澤 貴明, 松本 悠真, Macpherson T, 疋田 貴俊, マウスの報酬予測行動における脳内ドーパミン放出動態の解析, 第114回近畿生理学談話会, 2022 BibTeX
  31. 31. Doya K, 人工知能と脳の作動原理, 第５２回日本臨床神経生理学会, 2022 BibTeX
  32. 32. 山川宏, 松尾豊, 人間のように多様なEntificationを行うAI., 第22回 汎用人工知能研究会, 2022 BibTeX
  33. 33. *疋田貴俊, 柔軟な認知行動のための神経回路機構, BPCNPNPPP4学会合同年会, 2022 BibTeX
  34. 34. *志茂 優斗, 小澤 貴明, Macpherson Tom, 疋田 貴俊, ニコチン投与によるマウスの視覚弁別学習と逆転学習への影響とその神経メカニズムの解明, BPCNPNPPP4学会合同年会, 2022 BibTeX
  35. 35. *内田 裕輝, 疋田 貴俊, 本田 学, 山下 祐一, ホメオスタシス空間の歪みとしての精神疾患：うつにおける食行動変化の強化学習モデリング, BPCNPNPPP4学会合同年会, 2022 BibTeX
  36. 36. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊, 複数の精神疾患関連遺伝子インポーチンα3欠損による動機づけの上昇とその脳内ネットワーク, BPCNPNPPP4学会合同年会, 2022 BibTeX
  37. 37. *米丸 ひなの, 小澤 貴明, 疋田 貴俊, 新生仔期MK-801投与と発達期社会的孤立がマウスの成体期における衝動性を亢進する, BPCNPNPPP4学会合同年会, 2022 BibTeX
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  40. 40. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊, インポーチンα3（Kpna3）欠損マウスのスクロース報酬に対する動機づけ上昇とその脳内ネットワーク, 食欲・食嗜好を形成する感覚・内分泌・神経基盤研究会2022, 2022 BibTeX
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  50. 50. *松本 悠真, 小澤 貴明, 尾山 賀信, 岩本 涼太郎, 柴田 智弘, Macpherson Tom, 疋田 貴俊, 報酬予測中のマウス前頭前皮質におけるドーパミン放出 ダイナミクスの解析, 第24回活性アミンに関するワークショップ, 2022 BibTeX
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  52. 52. 谷口忠大, 記号創発ロボティクスとマルチモーダル感覚情報に基づく言語獲得 ～実世界人工知能に学ぶ言葉の意味の構成的理解～, 基調講演，LET 61st Annual Conference #LET61 – 外国語教育メディア学会, 2022 BibTeX
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  63. 63. *西岡 忠昭, トム マクファーソン, 濱口 航介, 疋田 貴俊, ネガティブな選択を回避する意思決定の神経機構, Neuro2022, 2022 BibTeX
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  88. 88. Doya K, 動物の行動と神経活動を予測する, 日本動物実験代替法学会第34回大会, 2021 BibTeX
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  94. 94. *青峰良淳, 櫻井航輝, Macpherson T, 小澤貴明, 宮本洋一, 米田 悦啓, 岡正啓, 疋田貴俊, インポーチンα3欠損マウスのアルコール関連行動解析, 生理学研究所研究会 第 6 回食欲・食嗜好の分子・神経基盤研究会, 2021 BibTeX
  95. 95. *内田裕輝, 疋田貴俊, 山下祐一, マウスの食塩嗜好性を記述するホメオスタシス強化学習理論の構築, 生理学研究所研究会 第 6 回食欲・食嗜好の分子・神経基盤研究会, 2021 BibTeX
  96. 96. *Yamane Y, Doya K, 不確かさ判断の神経機構, 日本視覚学会2021年夏季大会, 2021 BibTeX
  97. 97. *柴田智弘, 疋田貴俊, 小澤貴明., うま味成分が持つ塩味嗜好性増強効果における脳内報酬系の役割, 日本味と匂学会第55回大会, 2021 BibTeX
  98. 98. *小澤貴明, Dopaminergic circuit controls salt and umami seeking behavior, 日本味と匂学会第55回大会, 2021 BibTeX
  99. 99. *Yamane Y, Ebina T, Sasagawa A, Terada S, Uemura M, Ohki K, Matsuzaki M, Doya K, マーモセットカルシウムイメージングデータの因果解析, 日本神経回路学会, 2021 BibTeX
  100. 100. *疋田貴俊, マクファーソン トム, 西岡忠昭, 側坐核における報酬・忌避の神経機構, 2021年度生理学研究所研究会「多様な視点から情動を捉え直す」, 2021 BibTeX
  101. 101. 五味裕章, 潜在感覚運動の内部状態表現と調節, 第15回 Motor Control 研究会, 2021 BibTeX
  102. 102. *疋田貴俊, 報酬/目的指向行動の神経回路機構, 第15回 Motor Control研究会., 2021 BibTeX
  103. 103. *マクファーソン トム, 行動の柔軟性における並列神経回路機構, 第15回 Motor Control研究会., 2021 BibTeX
  104. 104. *内部英治, 並列深層強化学習, 第15回Motor Control研究会, 2021 BibTeX
  105. 105. *徐貺哲, 松香敏彦, 長田典子, 隠れマルコフモデルを用いた眼球運動による性格特性の推定, 日本認知科学会第38回大会, 2021 BibTeX
  106. 106. *松香敏彦, Aikemujiangs Yafeila, カテゴリー学習における弁別困難な事例の影響, 日本認知科学会第38回大会, 2021 BibTeX
  107. 107. *白砂大，本田秀仁，松香敏彦，植田一博, そのヒューリスティックは、そもそも使えるのか ~正確性と使用可能性に基づくヒューリスティック使用の検証~, 日本認知科学会第38回大会, 2021 BibTeX
  108. 108. *Sayako Satomi, Hirofumi Kunitomo, Yuichi Iino, ASEL神経における塩応答機構の解明, 線虫研究の未来を創る会2021, 2021 BibTeX
  109. 109. Doya K, 「人工知能は脳から何を学べば良いのか」, 応用脳科学アカデミー, 2021 BibTeX
  110. 110. *西岡忠昭, 疋田貴俊, 損失回避の基盤となる神経メカニズム：側坐核のドーパミンD2受容体含有ニューロンの活性化はネガティヴな結果に繋がる選択の回避に寄与する, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  111. 111. *内田裕輝, 疋田貴俊, 山下祐一, 精神疾患における栄養摂取の変調とその治療の計算論モデル, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  112. 112. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊, インポーチンα3欠損マウスのアルコール関連行動解析, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  113. 113. *Daudelin MN, Macpherson T, Cheng HI, Hikida T, Elucidating Pathway-Specific Locomotor and Limbic Functions of the Subthalamic Nucleus, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  114. 114. *柴田智弘, 小澤貴明, 中村萌, Macpherson T, 疋田貴俊, マウスの報酬予測行動における線条体ドーパミン放出動態の解析, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  115. 115. *櫻井航輝，伊藤大一，森田真規子，マクファーソン トム，小澤貴明，宮本洋一，米田悦啓，岡正啓，疋田貴俊, 社会的孤立ストレスによるImportin α1/KPNA1ノックアウトマウスに見られる行動異常の増悪, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  116. 116. *Li S, Pan Y, 櫻井航輝, Wang Q, 高尾敏文, 疋田貴俊, LC-MS/MSによる多発硬化症モデルマウスの解析, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  117. 117. *中村萌，小澤貴明，柴田智弘，Macpherson Tom，疋田貴俊, 聴覚性恐怖条件づけにおける線条体ドーパミン放出動態の解析, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  118. 118. *Attachaipanich S, Macpherson T, Hikida T, The role of nucleus accumbens core D1- and D2-neurons in controlling reward and aversion, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  119. 119. *Kobayashi KL, Macpherson T, Hikida T, Exploring the role of dopamine in the ventral pallidum, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  120. 120. *Macpherson T, Kim J, Hikida T, Nucleus accumbens D2-receptor-expressing neurons regulate reversal learning in the Attentional Set Shifting Test, 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  121. 121. *山内直寛、森啓太、飯野雄一、銅谷賢治, 線虫の行動制御神経回路機構の強化学習による探索, 第44回日本神経科学大会, 2021 BibTeX
  122. 122. *櫻井航輝，伊藤大一，森田真規子，マクファーソン トム，小澤貴明，宮本洋一，米田悦啓，岡正啓，疋田貴俊, Importin α1/KPNA1ノックアウトマウスに見られる社会的孤立ストレスへの感受性増加, 第43回日本生物学的精神医学会・第51回日本神経薬理学会・合同年会, 2021 BibTeX
  123. 123. *笹岡俊邦，齊藤奈英，田井中一貴，Macpherson Tom，疋田貴俊，山口瞬，板倉誠，阿部学，崎村建司, Ｄ１及びＤ２ドーパミン受容体を介する神経伝達による運動制御と学習記憶の仕組みの理解, 第43回日本生物学的精神医学会・第51回日本神経薬理学会・合同年会, 2021 BibTeX
  124. 124. *米丸ひなの，小澤貴明，櫻井航輝，志茂優斗，青峰良淳，谷垣健二，疋田貴俊, 22q11.2欠失症候群モデルマウスにおける脳内モノアミン量の解析, 第43回日本生物学的精神医学会・第51回日本神経薬理学会・合同年会, 2021 BibTeX
  125. 125. *内田裕輝，疋田貴俊，山下祐一, 精神疾患における栄養摂取の変調とその治療法：計算論的アプローチからの検討, 第43回日本生物学的精神医学会・第51回日本神経薬理学会・合同年会, 2021 BibTeX
  126. 126. *阪本 翔紀，谷口 彰，谷口 忠大，亀岡 弘和, StarGAN-VC+ASR：音声認識結果を正則化に活用した教師なし音声変換, 2021年度人工知能学会全国大会(JSAI2021), 2021 BibTeX
  127. 127. *小村 漱一朗，林 楓，谷口 彰，谷口 忠大，亀岡 弘和, StarGAN-VCを用いた話者非依存音響特徴量抽出と二重分節解析への応用, 2021年度人工知能学会全国大会(JSAI2021), 2021 BibTeX
  128. 128. *高津芳希, 今木理英, 岩橋直人, RoCoCo を用いた人間と機械の身体的協力行動の数理分析, 2021年度人工知能学会全国大会(JSAI2021), 2021 BibTeX
  129. 129. *谷口 彰，村上 太亮，谷口 忠大, 音韻情報と物体情報の共起性を活用した教師なし音素・単語発見手法, 2021年度人工知能学会全国大会(JSAI2021), 2021 BibTeX
  130. 130. Y. Takatsu, M. Imaki, N. Iwahashi, Mathematical Analysis of Physical Cooperative Behavior of Humans and Machines using RoCoCo, 2021年度 人工知能学会全国大会（第35回）, 2021 BibTeX
  131. 131. *内部英治, モデルフリーとモデルベース強化学習のための非同期並列学習, 第35回人工知能学会全国大会 (JSAI 2021), 2021 BibTeX
  132. 132. *篠田一聡, 竹澤祐貴, 鈴木雅大, 岩澤有祐, 松尾豊,, Interactive Instruction FollowingのためのNeuro-Symbolic手法による多様な物体と言語指示への頑健性の向上, 人工知能学会全国大会2021, 2021 BibTeX
  133. 133. *竹澤 祐貴, 篠田 一聡, 鈴木 雅大, 岩澤 有祐, 松尾 豊, Instruction Followingにおける構成的タスク表現の獲得, 人工知能学会全国大会2021, 2021 BibTeX
  134. 134. *小林 由弥, 鈴木 雅大, 松尾 豊, Transformerを用いた深層生成モデルによる教師なし物体認識手法の提案, 人工知能学会全国大会2021, 2021 BibTeX
  135. 135. *近藤生也, 岩澤有祐, 松尾豊, スキルに基づく探索方策による世界モデルの学習, 人工知能学会全国大会2021, 2021 BibTeX
  136. 136. *阿久澤圭, 岩澤有祐, 松尾豊, ナビゲーション課題における視覚と言語の対応づけのための軌道の大域表現の半教師あり学習, 人工知能学会全国大会2021, 2021 BibTeX
  137. 137. *Miyawaki H, Mizuseki K, Multi-regional large-scale electrophysiology revealed that inter-regional coactivations of cell ensembles support fear memory, 第98回日本生理学会大会, 2021 BibTeX
  138. 138. Tomoki Fukai, セルアセンブリによる情報符号化の多面的解析 Multi-faceted analysis of cell assembly code, 文部科学省新学術領域研究「人工知能と脳科学の対照と融合」カルシウムイメージング ワークショップ Calcium Imaging Workshop Organized by “Correspondence and Fusion of Artificial Intelligence and Brain Science”, 2021 BibTeX
  139. 139. Tomoki Fukai, セルアセンブリによる情報符号化の多面的解析 Multi-faceted analysis of cell assembly code, 文部科学省新学術領域研究「人工知能と脳科学の対照と融合」カルシウムイメージング ワークショップ　 Calcium Imaging Workshop Organized by “Correspondence and Fusion of Artificial Intelligence and Brain Science”, 2021 BibTeX
  140. 140. *SHANHE ZHENG，相良陸成，田口 亮, Yoloの物体認識スコアを用いた物体名と相対位置概念の同時学習, 2021年電子情報通信学会総合大会, 2021 BibTeX
  141. 141. *坂上雅道, 前頭前野における情報の抽象化と演繹的情報創成の神経メカニズムの研究, 新学術領域研究「人工知能と脳科学」第10回領域会議, 2021 BibTeX
  142. 142. *小口峰樹, Calcium Imaging in the Macaque Brain, 新学術領域研究「人工知能と脳科学」第10回領域会議, 2021 BibTeX
  143. 143. *中村大樹, 五味裕章, ヒトは視覚運動から自己運動を抽出するためにどのような情報を使うか？ ～ 機械学習による統計的関係性の記述と内部表現の評価, 電子情報通信学会 ニューロコンピューティング研究会, 2021 BibTeX
  144. 144. 小林源太，*庄野 逸, 受容野の最適刺激を用いた畳込みニューラルネットワークの可視化手法, 電子情報通信学会 ニューロコンピューティング研究会, 2021 BibTeX
  145. 145. 浜野佑介，*庄野 逸, Portilla-Simoncelli Statisticsを用いたDCNNのテクスチャ特徴解析, 電子情報通信学会 ニューロコンピューティング研究会, 2021 BibTeX
  146. 146. 小澤貴明，*疋田貴俊, うま味物質の持つ塩味嗜好性増強効果における脳内報酬系の関与, 大阪大学蛋白質研究所セミナー「食行動の脳内基盤と分子機構」, 2021 BibTeX
  147. 147. Ken Nakae, Hiromichi Tsukada, Junichi Hata, Misako Komtasu, Yuki Nakagami, Henrik Skibbe, Alexander Woodward, Gong Rui, Carlos Enrique Gutierrez, Tetsuo Yamamori, Hideyuki Okano, Kenji Doya, Shin Ishii, Spatial and temporal prediction of neural activity of electrocorticography with a fusion of structural connectivity of marmosets, 第10回日本マーモセット研究会大会, 2021 BibTeX
  148. 148. Polyakova Zlata, Misako Komatsu, Tetsuo Yamamori, Masatoshi Yoshida, Ketamine affects saccadic eye movements during free-viewing, peri-saccadic activity measured from whole-cortical electrocorticogram (ECoG) arrays, and Ca signals in posterior parietal cortex (PPC) in common marmosets, 第10回日本マーモセット研究会大会, 2021 BibTeX
  149. 149. Hiroshi Matsui, Misako Komatsu, Takaaki Kaneko, Hideyuki Okano, Noritaka Ichinohe, Masatoshi Yoshida, Deviance detection in visual mismatch negativity (MMN) measured from whole-cortical electrocorticogram (ECoG) arrays in common marmosets, 第10回日本マーモセット研究会大会, 2021 BibTeX
  150. 150. 高橋友太、大関洋平、酒井弘、幕内充、大須理英子, LSTMとMEGを用いた脳内言語処理メカニズムの推定, 第30回日本神経回路学会全国大会, 2020 BibTeX
  151. 151. *伊藤翔, 五味裕章, 伸張反射は多感覚統合を介した身体状態の不確かさに応じて調整される, The 30th Annual Meeting of the Japan Neural Network Society (JNNS2020), 2020 BibTeX
  152. 152. Samejima K, Striatal neural dynamics during cognitive choice, 日本神経回路学会大会, 2020 BibTeX
  153. 153. 樋口 陽光，鈴木 聡志，*庄野 逸, 視覚野構造に基づいたシフト不変な深層学習モデルの確立, 第30回神経回路学会全国大会(JNNS2020), 2020 BibTeX
  154. 154. Doya, Kenji, 人工知能は脳から何を学べば良いのか, 応用脳科学アカデミーアドバンスコース「脳とAI」第１回, 2020 BibTeX
  155. 155. 永田 賢二, 角谷 正友, 篠塚 寛志, 田沼 繁夫, 登坂 弘明, 原田 善之, 松波 成行, *吉川 英樹, 庄野 逸, 村上諒, BIC自動ピークフィッティング技術を用いたXPSデータセットのハイスループット解析手法, 2020年度 実用表面分析講演会, 2020 BibTeX
  156. 156. Tomoki Fukai, 情報圧縮：脳的アプローチ, 第12回数理モデリング研究会 数理モデリングの哲学–数理モデルは何のためにあるのか –, 2020 BibTeX
  157. 157. Tomoki Fukai, 情報圧縮：脳的アプローチ, 第12回数理モデリング研究会 数理モデリングの哲学–数理モデルは何のためにあるのか –, 2020 BibTeX
  158. 158. 内田裕輝，山下祐一，*疋田貴俊, 人工的神経回路操作によるマウス食塩欲求の変化を強化学習モデルで再現する, 第39回日本動物行動学会大会, 2020 BibTeX
  159. 159. 髙橋 英彦, 脳画像から見た統合失調症の身体的問題, 日本総合病院精神医学会, 2020 BibTeX
  160. 160. 篠塚 寛志, 永田 賢二, *吉川 英樹, 本武 陽一, 庄野 逸, 岡田 真人, 情報量規準を用いた信頼区間推定付きのXPSスペクトルの自動解析, 2020年日本表面真空学会学術講演会, 2020 BibTeX
  161. 161. 村上 諒, 庄野 逸, 永田 賢二, 篠塚 寛志, *吉川 英樹, 参照スペクトルを使った多元素XPSスペクトルの解析手法の開発, 2020年日本表面真空学会学術講演会, 2020 BibTeX
  162. 162. *疋田貴俊, 適切な行動選択のための柔軟な脳のしくみ, 令和2年度国立大学附置研究所・センター会議　第２部会シンポジウム「コロナ新時代における蛋白質科学研究」, 2020 BibTeX
  163. 163. Doya, Kenji, 人工知能と脳科学の融合と社会, 第8回神経法学研究会, 2020 BibTeX
  164. 164. Doya, Kenji, 脳とAIの接点から何を学びうるのか, 第5回全脳アーキテクチャシンポジウム, 2020 BibTeX
  165. 165. *坂上雅道, 前頭前野における情報の抽象化と演繹的情報創生の神経メカニズムの研究, 新学術領域研究「人工知能と脳科学」第９回領域会議, 2020 BibTeX
  166. 166. *勝又勇貴，兼近晃徳，谷口彰，エルハフィロトフィ，萩原良信，谷口忠大, 深層生成モデルを用いた地図補完とSLAMの統合, 日本ロボット学会学術講演会, 2020 BibTeX
  167. 167. *徐貺哲, 松香敏彦, 川端良子, 長田典子, 顔の印象評定における観察者の性格特性と視線の軌跡の関係: 状態空間モデルを用いた分析, 日本顔学会, 2020 BibTeX
  168. 168. 大関洋平, 心理言語学における計算論的転回, 慶應義塾大学医学部計算論的精神医学研究室 第7回研究会, 2020 BibTeX
  169. 169. *山下祐一, 脳の計算理論を用いて運動主体感異常の病態メカニズムに迫る, 第116回日本精神神経学会学術総会, 2020 BibTeX
  170. 170. *Naoto Iwahashi, Hiroyuki Okada, Kotaro Funakoshi, Theory of Cooperation: Exploring Human and Machine Capabilities, 日本認知科学会第37回大会, 2020 BibTeX
  171. 171. *本田秀仁・藤崎樹・松香敏彦・植田一博, 記憶の制約がヒューリスティックの合理性を促進する, 日本認知科学会第37回大会, 2020 BibTeX
  172. 172. *疋田貴俊, 意思決定における側坐核ネットワークの制御機構, 生理学研究所研究会　意思決定研究の新展開〜社会共感・主観価値の生成・葛藤に関わる神経メカニズム〜., 2020 BibTeX
  173. 173. 小澤貴明，柴田智弘，疋田貴俊, マウスにおける塩味とうま味の相乗作用, 生理学研究所研究会　第５回食欲・食嗜好の分子・神経基盤研究会., 2020 BibTeX
  174. 174. *濱口航介, 予測に基づく意思決定を可能にするマウス前頭皮質の神経活動, 生理研研究会2020 意思決定研究の新展開 社会共感・主観価値の生成・葛藤に関わる神経メカニズム, 2020 BibTeX
  175. 175. *濱口航介, 予測に基づく意思決定を可能にするマウス前頭皮質の神経活動, 生理研研究会2020 意思決定研究の新展開 社会共感・主観価値の生成・葛藤に関わる神経メカニズム, 2020 BibTeX
  176. 176. *Gupta S, Tanaka K, Waggoner RA, Comparison of MR-Thermometry an thermal simulations in living human tissue, 第48回日本磁気共鳴医学会大会, 2020 BibTeX
  177. 177. *Waggoner RA, Feiweier T, Tanaka K, High b-value DTI on a clinical scanner via stimulated-echo EPI, 第48回日本磁気共鳴医学会大会, 2020 BibTeX
  178. 178. 村上 諒，庄野 逸，篠塚 寛志，永田 賢二，*吉川 英樹, 多量のスペクトルデータを利用した参照スペクトルの推定手法の開発, 第81回日本応用物理学会秋季学術講演会, 2020 BibTeX
  179. 179. 篠塚 寛志，永田 賢二，*吉川 英樹，本武 陽一，庄野 逸，岡田 真人, 多量のスペクトルデータを利用した参照スペクトルの推定手法の開発, 第81回日本応用物理学会秋季学術講演会, 2020 BibTeX
  180. 180. *小口峰樹, 新学術領域研究「人工知能と脳科学」第10回領域会議, 生理学研究所部門公開セミナー, 2020 BibTeX
  181. 181. 内田裕輝，疋田貴俊，*山下祐一, 報酬/罰となる食塩;浸透圧維持の強化学習モデル, 日本数理生物学会, 2020 BibTeX
  182. 182. 峰尾太陽，*庄野 逸, 自然勾配法によるSignアルゴリズムの収束性能改善, 電子情報通信学会信号処理研究会, 2020 BibTeX
  183. 183. 髙橋 英彦, 物質依存と行動嗜癖の脳画像の共通点と差異点, NPBPPP2020, 2020 BibTeX
  184. 184. 髙橋 英彦, 精神科臨床からシナプス機能を考える, NPBPPP2020, 2020 BibTeX
  185. 185. 高橋雄太，村田真悟，出井勇人，富田博秋，*山下祐一, 予測符号化理論に基づくニューラルネットワークを用いた自閉スペクトラム症における表情認知特性に関する検討, 第42回日本生物学的精神医学会年会, 2020 BibTeX
  186. 186. 吉野 倫太郎, 木村 慧, 田辺 創思, 大原 慎也, 中村 晋也, 井上 謙一, 高田 昌彦、筒井健一郎, マカクザル内側前頭皮質の側坐核及び扁桃体への投射様式の違いによる領域区分, 第43回日本神経科学大会, 2020 BibTeX
  187. 187. 髙橋 英彦, Interface between AI and schizophrenia research, 日本神経科学会, 2020 BibTeX
  188. 188. 小口-田中 峰樹, 蔣 嘉森, 吉岡 敏秀, 田中 康裕, 井上 謙一, 高田 昌彦, 菊水 健史, 野元 謙作, 坂上 雅道, マカク一次視覚野における微小内視鏡を用いたカルシウムイメージング, 第43回日本神経科学大会, 2020 BibTeX
  189. 189. 稲垣 未来男, 井上 謙一, 田辺 創思, 木村 慧, 高田 昌彦, 藤田 一郎, マカカ属サルにおける上丘から扁桃体への多シナプス性経路, 第43回日本神経科学大会, 2020 BibTeX
  190. 190. *Gomi H, Abekawa N, Functional roles of visual motion for hand reaching movement – New lines of evidence dissociate posture related and target related responses, The 43rd Annual Meeting of the Japan Neuroscience Society, 2020 BibTeX
  191. 191. *Nakamura D, Gomi H, Spatiotemporal processing of visual motion for generating quick ocular and manual responses examined by convolutional neural network., The 43rd Annual Meeting of the Japan Neuroscience Society, 2020 BibTeX
  192. 192. *Takemura A, Abekawa N, Nakamura D, Gomi H, Deficits in short-latency manual responses after chemical lesions in monkey cortical area MST., The 30th Annual Meeting of the Japan Neural Network Society, 2020 BibTeX
  193. 193. *Takemura A, Nakamura D, Abekawa N, Gomi H, Effects of cerebral/cerebellum lesions on short-latency manual responses in monkeys., The 43rd Annual Meeting of the Japan Neuroscience Society, 2020 BibTeX
  194. 194. Masafumi Nejime, Mengxi Yun, Takashi Kawai, Hiroshi Yamada, *Masayuki Matsumoto, Value and choice representations of the ventral striatum in monkeys performing an economic decision-making task, 第43回日本神経科学大会, 2020 BibTeX
  195. 195. Yawei Wang, Osamu Toyoshima, Jun Kunimatsu, Hiroshi Yamada, *Masayuki Matsumoto, Midbrain dopamine neurons monitor temporally changing reward values by gradually changing their activity, 第43回日本神経科学大会, 2020 BibTeX
  196. 196. Aoki R., *Benucci A., Plasticity of visual cortical circuits driven by millisecond patterned optogenetic manipulations at cellular-level resolution, JNS meeting, 2020 BibTeX
  197. 197. Lyamzin D., Aoki R., Benucci A., Orientation discrimination thresholds and task heuristics in mice, JNS meeting, 2020 BibTeX
  198. 198. Iguchi, Y, Hikishima K, Kobayashi, K, The individual history of reward learning and stress responsibility: resilience induced by contingency learning between action and reward, The 43rd Annual Meeting of the Japan Neuroscience Society (2020/7/29-8/1), 2020 BibTeX
  199. 199. *川端 良子, 松香 敏彦, 不確定な対象の対話への導入方略, 2020年度人工知能学会全国大会, 2020 BibTeX
  200. 200. *松嶋 達也, 古田 拓毅, 顧 世翔, 松尾豊, オフラインデータを利用したモデルベース強化学習, 人工知能学会全国大会2020, 2020 BibTeX
  201. 201. *阿久澤圭, 岩澤有祐, 松尾豊, Posterior Collapseの情報識別可能性による解釈と条件付き相互情報量最大化を用いた対策, 人工知能学会全国大会2020, 2020 BibTeX
  202. 202. *谷口尚平, 岩澤有祐, 松尾豊, 集合を扱う償却変分推論, 人工知能学会全国大会2020, 2020 BibTeX
  203. 203. *鈴木雅大, 松尾豊, 深層生成モデルのエネルギー関数を用いた補助情報に基づく条件付き画像修復, 人工知能学会全国大会2020, 2020 BibTeX
  204. 204. *相良 陸成, 田口 亮, 混合分布を用いた発話音声からの相対位置概念の学習, 2020年度人工知能学会全国大会, 2020 BibTeX
  205. 205. *冠野 仁志, 相良 陸成, 田口 亮, 参照点に依存した連続動作の二重分節解析, 2020年度人工知能学会全国大会, 2020 BibTeX
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  216. 216. *山口 皓太郎, 岡 夏樹, 谷口 忠大, 尾崎 僚, ビデオゲーム環境における自然な発話の教師無し二重分節と強化学習による意味付け, HAIシンポジウム2020, 2020 BibTeX
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  220. 220. Morioka H, Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning, The 6th CiNet Conference, 2020 BibTeX
  221. 221. *山口皓太郎, 岡夏樹, 谷口忠大, ビデオゲーム環境における自然な発話の教師無し二重分節 ～ 言語獲得の構成的理解に向けて ～, ヒューマンコミュニケーション基礎研究会 (HCS), 2020 BibTeX
  222. 222. 上坂 佳史，*庄野 逸, スパースコーディングを用いた惑星表面画像のための圧縮手法の提案, 電子情報通信学会 ニューロコンピューティング研究会, 2020 BibTeX
  223. 223. 一期﨑 翔，川島 貴大，*庄野 逸, スパース推定を用いた潜在的な犯罪の高リスクエリアの推定と犯罪発生メカニズムの考察, 電子情報通信学会 ニューロコンピューティング研究会, 2020 BibTeX
  224. 224. *疋田貴俊, 報酬・忌避行動と精神疾患病態における神経回路機構の解析, 第5回包括的神経グリア研究会UNG2020, 2020 BibTeX
  225. 225. *Chiu HC, Doya K, Representation and grounding of abstract concepts: a preliminary investigation. Mechanism of Mind and Brain, The 20th winter workshop Mechanism of Brain and Mind, 2020 BibTeX
  226. 226. *石原弘二, 階層モデルを用いた人型ロボットの運動生成, 異分野融合ワークショップ「脳型情報処理によるﾛﾎﾞｯﾄラーニングの技術革新」, 2020 BibTeX
  227. 227. Soda T, Ahmadi A, Tani J, Hoshino M, Honda M, Hanakawa T, *Yamashita Y, Simulating altered inference of uncertainty in autism spectrum disorders using a variational recurrent neural network model, The winter workshop 2020 on Mechanism of brain and mind, 2020 BibTeX
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  234. 234. *山下祐一, 計算論的精神医学：脳の計算モデルに基づく精神障害の病態理解, 第24回情動・社会行動と精神医学研究会, 2019 BibTeX
  235. 235. 銅谷賢治, マウスの脳内シミュレーションとロボットの報酬進化, 第12回日本人間行動進化学会, 2019 BibTeX
  236. 236. *岩橋直人, Theory of Cooperation: Cognitive and Mathematical Principles of Cooperation and their Applications – Motion, Dialogue, and Evolution, 情報処理学会東海支部講演会, 2019 BibTeX
  237. 237. Ayaka Matsumoto, Yu Toyoshima, Yuichi Iino, Investigating the mechanisms of integration of sensory and motor information in salt chemotaxis of C. elegans, 第42回日本分子生物学会年会, 2019 BibTeX
  238. 238. 佐藤博文、國友博文、Xianfeng Fei、橋本浩一、飯野雄一, 経験塩濃度依存的な行動を制御する神経回路の動態, 第42回日本分子生物学会年会, 2019 BibTeX
  239. 239. *Gupta S, Tanaka K, Waggoner RA, Temperature increase in a phantom and living human tissue: comparison of numerical simulations, MR thermometry, and optical thermocouples, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 4th Scientific Meeting, 2019 BibTeX
  240. 240. *山下祐一, 階層的予測情報処理プロセスの失調としての精神障害：神経ロボティクス的アプローチ, 生理研研究会「力学系の視点からの脳・神経回路の理解」, 2019 BibTeX
  241. 241. 宗田卓史・Ahmadreza Ahmadi・谷淳・星野幹雄・本田学・花川隆・*山下祐一, 規則の推論過程における予測の確信度と汎化性能との関連, 日本発達神経科学学会第8回学術集会, 2019 BibTeX
  242. 242. 出井 勇人，村田 真悟，*山下 祐一，*尾形 哲也, 神経興奮性の変調による過学習と行動切り替えの困難さ —RNNとロボットを用いた発達障害の知見の橋渡し—, 日本発達神経科学学会第8回学術集会, 2019 BibTeX
  243. 243. 村田 真悟，柳田 耀，片平 健太郎，鈴木 真介，尾形 哲也，*山下 祐一, クラウドソーシングによる目標指向描画タスクと多尺度発達障害 ・精神障害精神疾患傾向の大規模データ収集, 日本発達神経科学学会第8回学術集会, 2019 BibTeX
  244. 244. 小林 源太，*庄野 逸, 識別と再構成を行う マルチタスク ベクトル量子化 VAE, 第22回情報論的学習理論ワークショップ(IBIS2019), 2019 BibTeX
  245. 245. 一期﨑 翔，川島 貴大，*庄野 逸, グラフィカルモデルを用いた犯罪発生リスクエリアのスパース性を考慮した相関関係の可視化, 第22回情報論的学習理論ワークショップ(IBIS2019), 2019 BibTeX
  246. 246. 浜野佑介，*庄野 逸, Portilla-Simoncelli staisticsを用いたDCNNのテクスチャ表現解析, 第22回情報論的学習理論ワークショップ(IBIS2019), 2019 BibTeX
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  253. 253. 遠藤瑛泰，永田賢二，木戸尚治，*庄野 逸, Bolasso特徴選択手法を用いたびまん性肺疾患陰影の分析, 電子情報通信学会 ニューロコンピューティング研究会, 2019 BibTeX
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  256. 256. Yu Toyoshima, Stephen Wu, Manami Kanamori, Hirofumi Sato, Moon Sun Jang, Yuko Murakami, Suzu Oe, Terumasa Tokunaga, Osamu Hirose, Sayuri Kuge, Takayuki Teramoto, Yuishi Iwasaki, Ryo Yoshida, Takeshi Ishihara, Yuichi Iino, Bio-image informatics for whole brain activity imaging and analysis of neural activity of C. elegans, 第57回日本生物物理学会年会, 2019 BibTeX
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  259. 259. 飯野 雄一、豊島 有、佐藤 博文、ウ ステファン、ジャン ムンソン、金森 真奈美、寺本 孝行、大江 紗、村上 悠子、久下 小百合、広瀬 修、徳永 旭将、岩崎 唯史、吉田 亮、石原 健, 線虫C. elegansの神経ネットワークのダイナミクス, 第90回日本動物学会大会, 2019 BibTeX
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  266. 266. *粟津俊二,松香敏彦,小田切史士,鈴木宏昭,岡田浩之,松田哲也, 多感覚的で文脈依存的な概念表象に関するfMRI 研究, 日本認知科学会第36回大会, 2019 BibTeX
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  269. 269. *中村大樹, 五味裕章, What kind of analysis can be obtained by CNN from the statistical relationship between sequential images and self-motion?, 第29回日本神経回路学会大会 全国大会, 2019 BibTeX
  270. 270. 遠藤 瑛泰,永田 賢二,木戸 尚治, *庄野 逸, Analysis of Diffuse Lung Disease X-ray CT Images based on Feature Selection using Bolasso, 第29回神経回路学会全国大会(JNNS2019), 2019 BibTeX
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  277. 277. 熊野弘紀、川嵜圭祐、鈴木隆文、長谷川功、*宇賀貴紀, タスクスイッチ中のサル前頭前野情報表現の解読, 第42回日本神経科学大会, 2019 BibTeX
  278. 278. *小川 剛史, 守谷 大樹, 廣江 総雄, 山田 貴志, 川鍋 一晃, 平山 淳一郎, EEG-fMRI同時計測データを用いたSPLICEフィルターによる大規模ネットワークの推定, 第42回日本神経科学大会, 2019 BibTeX
  279. 279. Yu Toyoshima, Hirofumi Sato, Manami Kanamori, Stephen Wu, Moon Sun Jang, Suzu Oe, Yuko Murakami, Terumasa Tokunaga, Osamu Hirose, Sayuri Kuge, Takayuki Teramoto, Yuishi Iwasaki, Ryo Yoshida, Takeshi Ishihara, Yuichi Iino, Exploring the origin of brain and central nervous system through monitoring the neural activity of the whole animal, 第42回日本神経科学大会, 2019 BibTeX
  280. 280. *Li N, Wang Y, Jing F, Zha R, Wei Z, Tanaka K, Zhang X, dlPFC is more than conflict-based regulation: a tDCS study on the congruency sequence effect, 第42回日本神経科学大会, 2019 BibTeX
  281. 281. Mengxi Yun, Takashi Kawai, Masafumi Nejime, Hiroshi Yamada, *Masayuki Matsumto, Signal dynamics of midbrain dopamine neurons and orbitofrontal cortex neurons corresponding to value-to-choice transformation during economic decision-making in monkeys, 第42回日本神経科学大会, 2019 BibTeX
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  284. 284. Bolanos F., Aoki R., *Benucci A., Quantifying the contribution of body movements to the dynamics of the mouse parietal cortex during decision-making using videography and deep convolutional neural networks, JNS meeting, 2019 BibTeX
  285. 285. Aoki R., *Benucci A., Reliable optogenetic stimulation of single neurons in-vivo with digital micro-mirror technology, JNS meeting, 2019 BibTeX
  286. 286. *山下祐一, 計算論的精神医学：脳の計算理論による精神障害の病態理解, 第10回 脳型人工知能とその応用ミニワークショップ, 2019 BibTeX
  287. 287. *山下祐一, 計算論的精神医学に基づく精神障害の病態理解, 日本オミックス医学会シンポジウム, 2019 BibTeX
  288. 288. *山下祐一, 予測符号化理論に基づく統合失調症の病態理解：精神病理学と神経科学の橋渡しとしての計算論的精神医学, 第115回日本精神神経学会学術総会, 2019 BibTeX
  289. 289. *疋田貴俊, 情動・認知学習の神経回路機構の研究から疾患横断的な精神疾患病態を考える, 第115回日本精神神経学会学術総会, 2019 BibTeX
  290. 290. 遠藤 瑛泰, 永田 賢二, 木戸 尚治 , *庄野 逸, Bolasso を用いたびまん性肺疾患画像の特徴選択, 情報処理学会数理モデル化と問題解決研究会, 2019 BibTeX
  291. 291. 銅谷賢治, 人工知能と脳科学, 第58回日本生体医工学会大会, 2019 BibTeX
  292. 292. 三村喬生， 中村友昭， 松本惇平， 西条寿夫， 須原哲也， 持橋大地， 南本敬史*, 霊長類における身体動作時系列の分節推移構造推定, 第 33 回 人工知能学会全国大会, 2019 BibTeX
  293. 293. *奥田 恭章，尾崎 僚，谷口 忠大, 韻律情報を活用した二重分節解析器による自然音声からの語彙獲得, 2019年度人工知能学会全国大会(JSAI2019), 2019 BibTeX
  294. 294. *谷口尚平, 岩澤 有祐, 松尾豊, メタ学習としてのGenerative Query Network, 人工知能学会全国大会2019, 2019 BibTeX
  295. 295. *疋田貴俊, 意思決定行動と精神疾患病態における神経回路機構の解析, 鹿児島大学大学院セミナー, 2019 BibTeX
  296. 296. *鈴木雅大, 金子 貴輝, 谷口 尚平, 松嶋 達也, 松尾豊, Pixyz：複雑な深層生成モデル開発のためのフレームワーク, 人工知能学会全国大会2019, 2019 BibTeX
  297. 297. *久保静真, 岩澤有祐, 鈴木雅大, 松尾豊, 身体の3次元構造を考慮したニューラル仮想試着, 人工知能学会全国大会2019, 2019 BibTeX
  298. 298. *村上太亮，尾崎僚，谷口彰，谷口忠大, 教師なし学習による物体概念および言語モデルと音響モデルの同時学習, 2019年度人工知能学会全国大会(JSAI2019), 2019 BibTeX
  299. 299. 柳田 耀, 村田 真悟, 片平 健太郎, 鈴木 真介, 尾形 哲也, *山下 祐一, 人とRecurrent Neural Network の描画インタラクション実験 Web 実験による大規模学習用データ収集とその解析, 第33回人工知能学会全国大会, 2019 BibTeX
  300. 300. *Doya K, Learning to Communicate for Ecological Fitness, Shonan Meeting No. 141. Language as Goal-Directed Sequential Behavior: Computational Theories, Brain Mechanisms, Evolutionary Roots, 2019 BibTeX
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  302. 302. 栁澤琢史, MEG/ECoG-BMIの臨床応用, 理研—産総研チャレンジ研究ワークショップ, 2019 BibTeX
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  316. 316. 栁澤琢史、福間良平、Ben Seymour、細見晃一、田中将貴、貴島晴彦、神谷之康、齋藤洋一, 脳磁図ニューロフィードバックによる精神神経疾患の病態解明と治療法開発, 第35回日本脳電磁図トポグラフィ研究会, 2019 BibTeX
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  324. 324. Suzuki K, Wada M, *Yamashita Y, Modeling tactile temporal order judgement process using Hierarchical Gaussian Filter, Winter Workshop on Mechanism of Brain and Mind 2019, 2019 BibTeX
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  331. 331. *小村豊, 自己省察のシステム神経科学, 同志社大学脳科学研究科セミナー, 2018 BibTeX
  332. 332. *濱屋政志、松原崇充、古川淳一朗、孫雨庭、八木聡明、寺前達也、野田智之、森本淳, ユーザ嗜好に基づくEMGを用いた運動支援制御器のベイズ最適化, 第19回計測自動制御学会システムインテグレーション部門講演会(SI2018) (2018/12/13-15), 2018 BibTeX
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  337. 337. 宗近亮弥，出井勇人，村田真悟，山下祐一，尾形哲也*, 神経結合断裂 がもたらす感覚不確実性の推定異常―再帰型神経回路モデルを用いた精神疾患モデリング―, 日本発達神経科学学会第7回学術集会, 2018 BibTeX
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  339. 339. 銅谷賢治, 想像力と知能の脳回路を可視化する, 第58回日本核医学会学術総会-合同特別講演（県民公開講座を兼ねる）, 2018 BibTeX
  340. 340. 栁澤琢史, 脳で機械を操るBMI技術の現状と未来, 錦秀会医療・福祉フォーラム, 2018 BibTeX
  341. 341. 栁澤琢史, 脳波ビッグデータとAIの臨床応用, コンピュータ外科学会, 2018 BibTeX
  342. 342. 栁澤琢史、福間良平、西本伸志、中村優一郎、押野悟、神谷之康、貴島晴彦, BMI技術を応用した脳磁図・皮質脳波からの脳機能マッピング, 臨床神経生理学会, 2018 BibTeX
  343. 343. 銅谷賢治, ロボットと人工知能から行動障害と脳機能へのアプローチ, 第22回日本摂食障害学会学術集会, 2018 BibTeX
  344. 344. *Paramas P, Total stochastic gradient algorithms with application to model-based reinforcement learning, The 21st Information -based induction science workshop (IBIS2018), 2018 BibTeX
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  346. 346. Hashimoto Y, *Yamashita Y, Convolutional Auto-encoder for Resting-state Functional MRI, 日本神経回路学会 第28回全国大会（JNNS2018）, 2018 BibTeX
  347. 347. Labuguen R, Gaurav V, Blanco SN, Matsumoto J, Inoue K, Shibata T, Monkey Features Location Identfication Using Convolutional Neural Networks, 第28回日本神経回路学会・全国大会, 2018 BibTeX
  348. 348. 栁澤琢史, BMI neurofeedbackによる幻肢痛の治療, 第77回脳神経外科学会総会, 2018 BibTeX
  349. 349. 栁澤琢史, Brain-Computer Interfaceの臨床応用, 第41回IEEE EPS, 2018 BibTeX
  350. 350. *山下祐一, 脳の計算理論に基づく自閉スペクトラム症の病態メカニズム仮説, 日本精神病理学会第41回大会, 2018 BibTeX
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  354. 354. 髙橋 英彦, 依存症の脳画像研究における「卵か鶏」問題 依存になりやすい脳, 日本アルコール関連学会, 2018 BibTeX
  355. 355. *Suzuki C, Haruhana K, Waggoner RA, Tanaka K, Ueno K, Motion effect on physiological noise correction in fMRI studies, 第46回日本磁気共鳴医学会大会, 2018 BibTeX
  356. 356. *中原裕之, 社会的意思決定の脳計算と神経基盤, 2018年度生理研研究会 「第2回ヒト脳イメージング研究会」, 2018 BibTeX
  357. 357. MA Ning, 原澤 寛浩, 上野 賢一, 一戸 紀孝, 春野 雅彦, CHENG Kang, *中原 裕之, Neural mechanisms for decision-making with predicting others in human, 2018年度生理研研究会 「第2回ヒト脳イメージング研究会」, 2018 BibTeX
  358. 358. 福田 玄明, MA Ning, 鈴木 真介, 原澤 寛浩, 上野 賢一, GARDNER Justin L, 一戸 紀孝, 春野 雅彦, CHENG Kang, *中原 裕之, Neural processing for social value conversion into value-based decision, 2018年度生理研研究会 第2回ヒト脳イメージング研究会, 2018 BibTeX
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  360. 360. *Gupta S, Cheng K, Tanaka K, Waggoner RA, Phantom for MR-Thermometry, 第46回日本磁気共鳴医学会大会, 2018 BibTeX
  361. 361. *Waggoner RA, Ueno K, Tanaka K, Direct Measurement of In-Plane Signal Leakage Using TGRAPPA, 第46回日本磁気共鳴医学会大会, 2018 BibTeX
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  363. 363. *疋田貴俊, 大脳基底核における認知学習と精神疾患の制御機構, 第40回日本生物学的精神医学会 第61回日本神経化学会大会 合同年会, 2018 BibTeX
  364. 364. 栁澤琢史, Brain-Computer Interfaceの臨床応用と大脳皮質機能の解明, 大脳皮質回路の機能原理を探る, 2018 BibTeX
  365. 365. *山下祐一, 計算論的精神医学：脳の数理モデルを用いて精神疾患の病態に迫る, 第40回日本生物学的精神医学会, 2018 BibTeX
  366. 366. *谷口忠大, ロボティクスと確率モデルに基づく汎用人工知能に向けて ～記号創発ロボティクスのアプローチ～, 第36回 日本ロボット学会 学術講演会, 2018 BibTeX
  367. 367. *相良陸成，田口亮，谷口彰，谷口忠大，服部公央亮，保黒政大，梅崎太造, 教示発話からの相対位置概念と語彙の相互学習, 第36回 日本ロボット学会 学術講演会, 2018 BibTeX
  368. 368. *Kurimoto, R., Ushitani, T., & Matsuka, T., Does accurate memory predict the categorical learning in pigeons?, 日本動物心理学会第78回大会, 2018 BibTeX
  369. 369. 上園志織、田辺創思、藤原真紀、柘植仁美、中村克樹、井上謙一、高田昌彦, マーモセットの帯状皮質を巡る基底核連関構築様式, 第33回 日本大脳基底核研究会, 2018 BibTeX
  370. 370. 新國彰彦, *小村豊, Maladaptive behavioral adjustment in metacognition, 第25回脳機能とリハビリテーション研究会学術集会, 2018 BibTeX
  371. 371. *De Havas J, Ito S, Gomi H, The inhibition of voluntary muscle relaxations depends on similar mechanisms to the inhibition of muscle contractions., 第12回モーターコントロール研究会, 2018 BibTeX
  372. 372. *竹村 文, 安部川直稔, 五味裕章, マカクサルにおけるMST 野不活化による短潜時腕応答への影響, 日本視覚学会2018年夏季大会, 2018 BibTeX
  373. 373. 小口峰樹，*坂上雅道, Chemogenetic Inactivation Using Double Virus Vector Infection Elucidates the Function of the Prefronto-striatal Circuit in the Macaque Brain, 国際ワークショップ 「遺伝子導入技術の利用による霊長類脳機能操作とイメージング」, 2018 BibTeX
  374. 374. 成沢淳史*， 下田和， 柳井啓司, CNNを用いた質感文字生成, 画像の認識・理解シンポジウム(MIRU), 2018 BibTeX
  375. 375. 丹野良介*， 會下拓実， Jaehyeong Cho， 柳井啓司, AR 技術とモバイル深層学習を活用した 食事カロリー量推定, 画像の認識・理解シンポジウム(MIRU), 2018 BibTeX
  376. 376. Inoue K, Development of viral vectors for delivering functional molecules into nonhuman primate brains, International Workshop “Monitoring and manipulating brain function in non-human primates”, 2018 BibTeX
  377. 377. Kimura K, Tanabe S, Fujiwara M, Nagai Y, Minamimoto T, Inoue K, Takada M, Neuron-specific efficient gene transduction in the primate brain with Morphological modified AAV vectors., International Workshop “Monitoring and manipulating brain function in non-human primates”, 2018 BibTeX
  378. 378. Mimura K, Nagai Y, Inoue K, Matsumoto J, Suhara T, Nishijo H, Takada M, Minamimoto T, Using PET imaging to monitor chemogenetic manipulation of nigrostriatal dopamine system in common marmoset., International Workshop “Monitoring and manipulating brain function in non-human primates”, 2018 BibTeX
  379. 379. Inoue K, Development of viral vectors for delivering functional molecules into nonhuman primate brains., 第41回日本神経科学大会, 2018 BibTeX
  380. 380. *小川 剛史, 守谷 大樹, 山田 貴志, 川鍋 一晃, 平山 淳一郎, EEG信号のネットワーク成分抽出法：SPLICEを用いたデータ駆動的アプローチ, 第41回日本神経科学大会, 2018 BibTeX
  381. 381. *高木 優, 平山 淳一郎, 田中 沙織, 状態非依存的な全脳ネットワークは知性と人生の成果を予測する, 第41回日本神経科学大会, 2018 BibTeX
  382. 382. *Kento Suzuki, Tatsuya Haga, Tomoki Fukai, A neural circuit model of pattern classification with dendritic activities, 第41回日本神経科学大会, 2018 BibTeX
  383. 383. *Toshitake Asabuki, Tomoki Fukai, Chunking information streams by dendritic minimization of surprise signals, 第41回日本神経科学大会, 2018 BibTeX
  384. 384. *Takashi Hayakawa, Tomoki Fukai, Spontaneous and stimulus-induced coherent states of dynamically balanced neuronal networks, 第41回日本神経科学大会, 2018 BibTeX
  385. 385. Mimura K, Nagai Y, Inoue K, Suhara T, Takada M, Minamimoto T, Using PET imaging to monitor chemogenetic manipulation of nigrostriatal dopamine system in common marmoset., 第41回日本神経科学大会, 2018 BibTeX
  386. 386. Kimura K, Tanabe S, Fujiwara M, Nakano M, Nagai Y, Minamimoto T, Inoue K, Takada M, Neuron-specific efficient gene transduction in the primate brain with modified AAV vectors., 第41回日本神経科学大会, 2018 BibTeX
  387. 387. *Yamane Y, Ito J, Joana C, Fujita I, Tamura H, Maldonado P, Doya K, Grun S, Inferring fixated objects in free viewing from parallel neuronal spiking activities in macaque monkeys, The 41st Annual Meeting of the Japan Neuroscience Society, 2018 BibTeX
  388. 388. 惲夢曦, 川合隆嗣, 禰占雅史, 山田洋, *松本正幸, 意思決定時におけるサル中脳ドーパミンニューロンと前頭眼窩ニューロンの報酬価値と選択行動の表現形式, 第４１回日本神経科学大会, 2018 BibTeX
  389. 389. 豊島理, 王亜偉, 山田洋, *松本正幸, ダイナミックに変動する報酬価値をコードする線条体ニューロンの探索, 第４１回日本神経科学大会, 2018 BibTeX
  390. 390. *谷口忠大, 実環境に適応する統合的認知機能の形成に向けて～記号創発ロボティクス～, 第41回日本神経科学大会, 2018 BibTeX
  391. 391. 髙橋 英彦, 脳画像からみた情動・意思決定と精神障害, 日本神経科学会, 2018 BibTeX
  392. 392. *Benucci A., Sensory Representation Plasticity Driven by Patterned Optogenetic Stimulation in the Mouse Cortex, Japan Neuroscience meeting, 2018 BibTeX
  393. 393. 小口峰樹，*坂上雅道, ウイルスベクター二重遺伝子導入法を用いた化学遺伝学的不活化によるマカク前頭前野-線条体回路の機能解明, 平成30年度第1回大脳基底核機能研究会, 2018 BibTeX
  394. 394. *疋田貴俊, Distinct roles of the direct and indirect striatal pathways in cognitive learning, 第243回つくばブレインサイエンス・セミナー, 2018 BibTeX
  395. 395. 栁澤琢史、福間良平、田中将貴、青江丈、山本祥太、原田達也、貴島晴彦, 脳磁図ビッグデータと深層学習を用いた新しい診断方法の開発, 第33回日本生体磁気学会, 2018 BibTeX
  396. 396. *Uchibe E, Forward and inverse reinforcement learning and generative adversarial formulation, NC/IBISML/IPSJ-MPS/IPSJ-BIO合同研究会, 2018 BibTeX
  397. 397. *鈴木 雅大,松尾豊, 半教師ありマルチモーダル深層生成モデルにおける共有表現の有効性と単一モダリティ入力への拡張, 人工知能学会全国大会2018, 2018 BibTeX
  398. 398. *久保 静真,岩澤 有祐,松尾豊, 服の領域を考慮した写真上の人物の自動着せ替えに関する研究, 人工知能学会全国大会2018, 2018 BibTeX
  399. 399. *林楓, 岩田具治, 谷口忠大, 深層混合モデルによるクラスタリング, 2018年度 人工知能学会全国大会（第32回）(JSAI2018), 2018 BibTeX
  400. 400. *岩澤 有祐,松尾豊, 類似度学習を用いた敵対的訓練による特徴表現の検閲, 人工知能学会全国大会2018, 2018 BibTeX
  401. 401. *尾崎 僚, 谷口 忠大, ノンパラメトリックベイズ二重分節解析器の高速化に関する研究, 2018年度 人工知能学会全国大会（第32回）(JSAI2018), 2018 BibTeX
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  412. 412. 成沢 淳史*， 下田 和， 柳井 啓司, 深層学習による質感文字生成, 人工知能学会全国大会, 2018 BibTeX
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  418. 418. 成沢淳史*，柳井啓司, スタイル転移によるフォント画像変換, 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2018 BibTeX
  419. 419. 丹野良介*，會下拓実，柳井啓司, AR DeepCalorieCam: AR表示型食事カロリー量推定システム, データ工学と情報マネジメントに関するフォーラム(DEIM), 2018 BibTeX
  420. 420. 成冨志優*，堀田大地，丹野良介，下田和，柳井啓司, Conditional GANによる食事写真の属性操作, データ工学と情報マネジメントに関するフォーラム(DEIM), 2018 BibTeX
  421. 421. 伊藤祥文*，丹野良介，柳井啓司, Conditional GANを用いた大規模食事画像データからの画像生成, 電子情報通信学会 食メディア研究会(CEA), 2018 BibTeX
  422. 422. 會下拓実*，柳井啓司, 単一の畳み込みネットワークによる料理検出とカロリー量推定のマルチタスク学習, 電子情報通信学会 食メディア研究会(CEA), 2018 BibTeX
  423. 423. *Tanskanen T, Kao CH, Waggoner RA, Ueno K, Tanaka K, Cheng K, Category selectivity in the human face-selective cortex assessed with columnar resolution fMRI, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 2nd Scientific Meeting, 2018 BibTeX
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  425. 425. *Haruhana K, Suzuki C, Tanaka K, Ueno K, Evaluation of combining method for RF array coil data in fMRI study, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 2nd Scientific Meeting, 2018 BibTeX
  426. 426. *Gupta S, Tanaka K, Waggoner RA, Simulations of various numerical leg models to ensure safety during parallel transmission MRI, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 2nd Scientific Meeting, 2018 BibTeX
  427. 427. Takufumi Yanagisawa, BMI induced plasticity modulates phantom limb pain, The 4th CiNet Conference, 2018 BibTeX
  428. 428. *宮崎勝彦, 報酬待機行動を制御するセロトニンの役割ーoptogeneticsによる検証ー, セロトニン研究会, 2018 BibTeX
  429. 429. *J. Chikazoe, 表象類似度解析による脳内価値表象の解明, 脳機能イメージング研究部定例会, 2018 BibTeX
  430. 430. 柳澤琢史、福間良平、Ben Seymour、細見晃一 、貴島晴彦、吉峰俊樹、神谷之康、齋藤洋一, MEG-BMIによる幻肢痛の制御, 定位機能脳神経外科学会, 2018 BibTeX
  431. 431. 上園志織、田辺創思、藤原真紀、柘植仁美、中村克樹、井上謙一、高田昌彦, マーモセットにおける大脳基底核および小脳から前部・後部帯状皮質への多シナプス性入力様式 , 2018 BibTeX
  432. 432. 南本敬史、三村喬生、永井裕司、井上謙一、須原哲也、高田昌彦, 化学遺伝学とPET イメージングの融合による黒質線条体ドーパミン神経活動制御, 2018 BibTeX
  433. 433. 三村 喬生, 永井 裕司, 井上 謙一, 須原 哲也, 高田 昌彦, 南本 敬史*, 化学遺伝学とPETイメージングの融合による黒質線条体ドーパミン神経活動制御, 第七回 日本マーモセット研究会大会, 2018 BibTeX
  434. 434. 三村 喬生、松本 惇平、西条 寿夫、須原哲也、南本 敬史*, 機械学習を用いた自由行動下における頭部方向測定法の開発, 第七回 日本マーモセット研究会大会, 2018 BibTeX
  435. 435. 栁澤琢史, MEGによるバイオマーカー探索とニューロフィードバック, MD-CNS障害研究会, 2018 BibTeX
  436. 436. *Zobnin S, Li Y, Doya K, Experimental investigation of hierarchical Bayesian inference in sensory and motor cortices, 脳と心のメカニズム第18回冬のワークショップ, 2018 BibTeX
  437. 437. Takamuku Shinya, Gomi Hiroaki, Constancy of walking speed adjustment based on optic flow depends on monocular and binocular depth cues, 第17回 脳と心のメカニズム 冬のワークショップ, 2018 BibTeX
  438. 438. *Gomi H, Implicit visuomotor control and its effect on self-awareness, Workshop on mechanism of brain and mind. 2018., 2018 BibTeX
  439. 439. *安部川直稔, 五味裕章, Vestibular contribution to egocentric body representation., 第18回脳と心のメカニズムワークショップ, 2018 BibTeX
  440. 440. *高椋慎也, 五味裕章, Constancy of walking speed adjustment based on optic flow., 第18回脳と心のメカニズムワークショップ, 2018 BibTeX
  441. 441. *Takemura A, Abekawa N, Gomi H,, Effects of lesions in the Medial Superior Temporal (MST) Area on shortlatency manual following responses (MFR) of monkeys, 第18回 脳と心のメカニズム 冬のワークショップ, 2018 BibTeX
  442. 442. 栁澤琢史, Brain-Machine Interfaceによる幻肢痛治療, Interstellar研究交流会, 2017 BibTeX
  443. 443. 松本有紀子., 統合失調症における脳内意味表象異常の可視化と定量, 2017 BibTeX
  444. 444. *Zobnin S, Li Y, Doya K, Experimental investigation of hierarchical Bayesian inference in sensory and motor cortices, 新学術領域研究「人工知能と脳科学」第3回領域会議, 2017 BibTeX
  445. 445. Frandi E. *Benucci A., Modeling responses to visual stimuli in the mouse cortex with recurrent neural networks, 2017 BibTeX
  446. 446. 井上 謙一, 霊長類における光遺伝学を利用した神経回路操作, 日本学術振興会 光電相互変換第125委員会 第239回研究会 「光技術が切り開く新しいバイオサイエンス・テクノロジー」, 2017 BibTeX
  447. 447. *森本淳, ヒト型ロボットの運動学習とヒトの運動支援戦略, 難環境作業スマート機械技術研究センター第4回シンポジウム，2017, 2017 BibTeX
  448. 448. 仁科国之・高岸治人・井上-村山美穂・高橋英彦・坂上雅道・山岸俊男, 向社会的行動の遺伝的基盤, 日本人間行動進化学会第10回大会, 2017 BibTeX
  449. 449. 松本淳平, 西丸広史, 高村雄策, 三村喬生, 浅場明莉, 鈴木航, 一戸紀孝, 南本敬史, 小野武年, 西条寿夫*, げっ歯類とサルのためのオープンソース３次元ビデオ行動解析システムの開発と神経科学への応用, 2017年度生命科学系学会合同年次大会, 2017 BibTeX
  450. 450. 栁澤琢史, MEG-BMIによる幻肢痛の病態解明と治療法の開発, 第17回CRPS研究会, 2017 BibTeX
  451. 451. 會下拓実*， 丹野良介， 柳井啓司, CNNによる複数品食事画像の同時カロリー推定とそのモバイル実装, 電子情報通信学会 食メディア研究会 (CEA), 2017 BibTeX
  452. 452. 仁科国之・高岸治人・井上-村山美穂・高橋英彦・坂上雅道・山岸俊男, アルギニンバソプレシン受容体遺伝子と向社会的行動の関連, 第7回社会神経科学研究会, 2017 BibTeX
  453. 453. Ishida H, Inoue K, Hoshi E, Takada M, Cells of origin of multisynaptic projections from amygdala to ventral premotor cortex in macaques , 2017 BibTeX
  454. 454. 栁澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹、神谷之康、齋藤洋一, MEGによる皮質可塑性障害の評価と制御, 第28回小児脳機能研究会（臨床神経生理学会）, 2017 BibTeX
  455. 455. 山下 祐一, 認知（障害）原理を検証する神経回路モデルの開発と評価, 日本発達神経科学学会第6回学術集会, 2017 BibTeX
  456. 456. *小津野将, 内部英治, 銅谷賢治, ギャップ増強を利用した頑健かつ効率的なoff-policy policy evaluation, 第20回情報論的学習理論ワークショップ, 2017 BibTeX
  457. 457. 栁澤琢史, 脳波のリズム異常と制御, ASCONE2017, 2017 BibTeX
  458. 458. 栁澤琢史、荒木俊彦、福間良平、小林真紀、押野悟、吉峰俊樹、貴島晴彦, 脳磁図による側頭葉てんかんのネットワーク解析, てんかん学会, 2017 BibTeX
  459. 459. *相良陸成，谷志翔，田口亮，服部公央亮，保黒政大，梅崎太造, 発話を入力とした相対位置概念の学習, 計測自動制御学会 システム・情報部門 学術講演会, 2017 BibTeX
  460. 460. 銅谷賢治, 脳内シミュレーションの神経機構, 第32回日本整形外科学会基礎学術集会, 2017 BibTeX
  461. 461. *小口峰樹, 人工知能と生物知能――深層学習から神経科学への寄与, 科学基礎論学会2017年度秋の研究例会, 2017 BibTeX
  462. 462. Takufumi Yanagisawa, Ryohei Fukuma, Kotaro Edakawa, Hideki Okada, Toshihiko Araki, Satoru Oshino, Maki Kobayashi, Masataka Tanaka, Shyota Yamamoto, Toshiki Yoshimine, Tatsuya Harada, Haruhiko Kishima, Development of an epilepsy diagnostic tool using artificial intelligence and cross-frequency coupling, 脳神経外科学会総会, 2017 BibTeX
  463. 463. *疋田貴俊, 情動行動における大脳基底核神経回路機構とその破綻, 平成29年度生理学研究所研究会「先天的と後天的なメカニズムの融合による情動・行動の理解と制御」, 2017 BibTeX
  464. 464. Ueda Hiroshi, Abekawa Naotoshi, Gomi Hiroaki, Temporal integration of sensory evidence for position representation of a moving object containing motion signal in perceptual and motor decision making, The 44th Naito Conference, 2017 BibTeX
  465. 465. 丹野 良介*， 泉 裕貴， 柳井 啓司, CoreMLによるiOS深層学習アプリの実装と性能分析, 電子情報通信学会 パターン認識・メディア理解研究会（PRMU）, 2017 BibTeX
  466. 466. 會下 拓実*， 柳井 啓司, CNNによる複数料理写真からの同時カロリー量推定, 電子情報通信学会 パターン認識・メディア理解研究会（PRMU）, 2017 BibTeX
  467. 467. *疋田貴俊, 意思決定と薬物依存における大脳基底核神経回路機構, 第39回日本生物学的精神医学会, 2017 BibTeX
  468. 468. *松本正幸, 黒質－線条体ドーパミン神経路が行動抑制に果たす役割, 日本生物学的精神医学会, 2017 BibTeX
  469. 469. *疋田貴俊, 認知学習と精神疾患における神経回路機構, 第47回 日本神経精神薬理学会, 2017 BibTeX
  470. 470. *平山 淳一郎, Aapo Hyvärinen, 小川 剛史, 守谷 大樹, 川鍋 一晃, 積層独立成分分析(SPLICE)による神経科学データ解析, 第27回日本神経回路学会全国大会(JNNS2017), 2017 BibTeX
  471. 471. *Hikida T, Dual neural circuits in reward and aversive learning, 第27回神経回路学会, 2017 BibTeX
  472. 472. *内部英治, ディープNNによる順・逆強化学習, 第27回日本神経回路学会全国大会 (JNNS 2017), 2017 BibTeX
  473. 473. 銅谷賢治, 「脳内シミュレーション」の神経回路を可視化する, 新適塾「脳はおもしろい」第18回会合, 2017 BibTeX
  474. 474. *Haruhana K, Suzuki C, Waggoner RA, Tanaka K, Ueno K, Optimization of Data Acquisition and Processing for the Macaque Brain 3D MPRAGE using a human Whole-Body 3T MRI System, 第45回日本磁気共鳴医学会大会, 2017 BibTeX
  475. 475. *Ueno K, Suzuki C, Haruhana K, Tanaka K, Optimization of head motion parameter regression procedure in the data preprocessing for fMRI studies, 第45回日本磁気共鳴医学会大会, 2017 BibTeX
  476. 476. *Gupta S, Cheng K, Tanaka K, Waggoner RA, RF-induced temperature increase in a phantom: comparison of numerical simulations, MR Thermometry and temperature sensor measurements, 第45回日本磁気共鳴医学会大会, 2017 BibTeX
  477. 477. *春花健児、鈴木千里、田中啓治、上野賢一, ヒト全身用３テスラMRI装置によるマカクザル脳の撮像と画像処理の最適化, 第45回日本磁気共鳴医学会大会, 2017 BibTeX
  478. 478. *杉原智也， 劉海龍， 竹中一仁， 三澤秀明， 坂東誉司， 谷口忠大, Sequence to Sequenceモデルを用いた運転行動予測, 第35回日本ロボット学会学術講演会（RSJ2017）, 2017 BibTeX
  479. 479. *白砂大，本田秀仁，松香敏彦，植田一博, なじみ深さ, 知識 ~統計モデルによる推論プロセスの検証~, 日本認知科学第34回大会, 2017 BibTeX
  480. 480. *大貫祐大郎，本田秀仁，松香敏彦，植田一博, 異なる評価法によるリスク態度の変化：意思決定者の信念推定に基づく認知プロセスの分析, 日本認知科学第34回大会, 2017 BibTeX
  481. 481. *橋本さゆり，小林一郎, 深層強化学習を用いた三重倒立振子の制御に関する一考察, 第33回ファジィシステムシンポジウム, 2017 BibTeX
  482. 482. 日高 侑也、林 昌宏、伊藤 睦代、朴 天鍋、君付 和範、井上 謙一、小林 由紀、伊藤 琢也, 狂犬病ウイルスゲノムの分節化, 第160回日本獣医学会学術集会, 2017 BibTeX
  483. 483. *谷口忠大, 記号創発ロボティクスのアプローチ 赤ちゃんの言語獲得の構成論モデルに向けて, 日本赤ちゃん学会 若手部会 第5回研究合宿, 2017 BibTeX
  484. 484. 深井朋樹, 大脳皮質と海馬の神経集団活動から読み解く回路機能, 平成29年度生理学研究所研究会「大脳皮質回路の機能原理を探る」, 2017 BibTeX
  485. 485. *春花健児、鈴木千里、田中啓治、上野賢一, ヒトfMRI撮像における被験者状態監視システムの構築, 第1回ヒト脳イメージング研究会, 2017 BibTeX
  486. 486. *上野賢一、松田圭司、春花健児、鈴木千里、田中啓治, ヒトfMRI研究のための被験者眼球運動計測システムの構築, 第1回ヒト脳イメージング研究会, 2017 BibTeX
  487. 487. *橋本さゆり，小林一郎, 深層強化学習を用いた動作制御への基礎的検討, 第31回人工知能学会全国大会, 2017 BibTeX
  488. 488. *谷志翔，加藤有祐，田口亮，服部公央亮，保黒政大，梅崎太造, MCMCサンプリングによる相対位置概念の学習, 第35回日本ロボット学会学術講演会（RSJ2017）, 2017 BibTeX
  489. 489. Yukiko Matsumoto, Shuraku Son, Akio, Murakami, Satoshi Nishida, Shinji Nishimoto, Hidehiko Takahashi, Abnormal semantic representation in the brains of schizophrenia patients, 2017 BibTeX
  490. 490. 會下拓実*， 柳井啓司, 食事画像カロリー量推定における回帰による手法と検索による手法の比較, 情報処理学会 コンピュータビジョンとイメージメディア研究会 (CVIM), 2017 BibTeX
  491. 491. 下田 和*， 柳井 啓司, 完全教師あり学習手法を用いた弱教師あり領域分割におけるシード領域生成方法の改良, 情報処理学会 コンピュータビジョンとイメージメディア研究会 (CVIM), 2017 BibTeX
  492. 492. *谷口忠大, 記号創発ロボティクスが目指すAGI～表現(表象)学習を超えて～, 第２回全脳アーキテクチャシンポジウム, 2017 BibTeX
  493. 493. 高椋 慎也, 永澤 知幸,五味 裕章, オプティックフローによる歩行速度調節の恒常性, モーターコントロール研究会, 2017 BibTeX
  494. 494. *J. Chikazoe, パターン解析により明らかにされた主観的価値・味覚の神経基盤, 人間情報研究部・研究会, 2017 BibTeX
  495. 495. 銅谷賢治, ベイズ推定による脳機能モデルと脳データ解析, 新学術領域研究「人工知能と脳科学の対照と融合」若手サマースクール, 2017 BibTeX
  496. 496. 深井朋樹, 外界をモデル化する脳の回路メカニズム ―海馬と大脳皮質, 第54回 脳科学ライフサポート研究センターセミナー, 2017 BibTeX
  497. 497. 下田 和*， 柳井 啓司, 弱教師あり領域分割のための一貫性に基づく学習画像の領域分割容易性推定, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  498. 498. 松尾 真*， 下田 和， 柳井 啓司, 画像スタイル変換とWeb画像を用いた画像の任意質感生成, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  499. 499. 會下 拓実*， 柳井 啓司, Multi-task CNNを用いた食材および調理手順情報を利用した食事画像カロリー量推定, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  500. 500. 長野 哲也*， 會下 拓実， 柳井 啓司, Twitter画像に対する地域別画像タイプの大規模分析, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  501. 501. 成沢 淳史*， 柳井 啓司, Neural Style TransferとCycle GANを利用したフォント変換, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  502. 502. 伊藤 祥文*， Jaehyeong Cho， 柳井 啓司, Conditional GAN を用いた複数詳細カテゴリ画像の合成, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  503. 503. 丹野 良介*， 泉 裕貴， 柳井 啓司, ConvDeconvNetの効率的モバイル実装による 画像変換・物体検出・領域分割リアルタイムiOSアプリ群, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  504. 504. Ryosuke Tanno， Keiji Yanai*, Unseen Style Transfer Network, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  505. 505. Doya K, Neural coding, brain imaging and information extraction by circuit modeling, Neuroscience 2017 Sattelite Symposium / CREST Symposium, 2017 BibTeX
  506. 506. T. Yoshimoto, *J. Chikazoe, S. Okazaki, M. Sumiya, H. K. Takahashi, E. Nakagawa, T. Koike, R. Kitada, S. Okamoto, M. Nakata, H, Kosaka, T. Yada, N. Sadato, State-dependent and -independent food representations revealed by multivoxel pattern analysis, 第40回日本神経科学大会, 2017 BibTeX
  507. 507. Uezono S, Tsuge H, Tanabe S, Fujiwara M, Nagaya N, Nagaya K, Inoue K, Takada M, Organization of multisynaptic inputs from the basal ganglia and cerebellum to the cingulate cortex in common marmosets as revealed by retrograde transneuronal labeling with rabies virus., 2017 BibTeX
  508. 508. *Lam AM, Tanskanen T, Kao CHT, Kuno Y, Tanaka K, Cheng K, Reconstructing perceived faces from human brain activity, 日本神経科学学会第40回大会, 2017 BibTeX
  509. 509. *芳賀 達也、深井 朋樹, ２コンパートメントニューラルネットワークモデルにおける頑健なシーケンス記憶の形成 Robust formation of sequential memory in two-compartment neural network model, Neuroscience2017 第40回日本神経科学大会, 2017 BibTeX
  510. 510. *朝吹俊丈、深井朋樹, リカレント神経回路による時系列からの教師無しチャンク学習 Unsupervised chunking learning from sequences by recurrent neural networks, Neuroscience2017 第40回日本神経科学大会, 2017 BibTeX
  511. 511. *鈴木 堅斗、芳賀 達也、深井 朋樹, 順伝播型深層神経回路網における樹状突起の計算 Dendritic computing in deep feedforward neural networks, Neuroscience2017 第40回日本神経科学大会, 2017 BibTeX
  512. 512. Inoue K, Fujiwara M, Uezono S, Tanabe S, Tsuge H, Nagaya N, Nagaya K, Ishida H, Hoshi E, Takada M, Organization of multisynaptic inputs from the basal ganglia to the dorsal and ventral premotor cortices in macaque monkeys: retrograde transneuronal dual tracing with fluorescent rabies viral vectors., 2017 BibTeX
  513. 513. Yutaka Komura*, The primate model with metacognitive ability and disability, JNS, 2017 BibTeX
  514. 514. *鈴木真介, 価値とリスク評価の神経基盤：その基礎と社会的伝染, 第40回日本神経科学大会, 2017 BibTeX
  515. 515. *田中啓治, 高空間分解能でのfMRI研究, 第40回日本神経科学大会, 2017 BibTeX
  516. 516. *Waggoner RA, An overview of high-resolution fMRI studies at RIKEN-BSI from V1 to the temporal lobe, 第40回日本神経科学大会, 2017 BibTeX
  517. 517. *Tanskanen T, Kao CHT, Waggoner RA, Ueno K, Tanaka K, Cheng K, Category tuning in the human face selective areas assessed with high0resolution fMRI., 第40回日本神経科学大会, 2017 BibTeX
  518. 518. 高椋慎也，永澤知幸，五味裕章 , オプティックフローに基づく歩行速度調節は距離推定に依存する, 第40回 日本神経科学大会, 2017 BibTeX
  519. 519. 安部川 直稔，五味 裕章, 姿勢環境に応じて修飾される反射性視覚腕応答第40回 日本神経科学大, 第40回 日本神経科学大会, 2017 BibTeX
  520. 520. 伊藤　翔, 五味　裕章, Impact of adaptation to mirror-reversed visual feedback on modulation of long-latency stretch reflex, 第40回 日本神経科学大会, 2017 BibTeX
  521. 521. Takaya Ogasawara, Masahiko Takada, *Masayuki Matsumoto, Primate dopamine neurons in the substantia nigra transmit a stop signal to the caudate nucleus during the performance of a saccadic countermanding task, 第４0回日本神経科学大会, 2017 BibTeX
  522. 522. *Masayuki Matsumoto, Nigrostriatal dopamine signals regulate response inhibition, 第４0回日本神経科学大会, 2017 BibTeX
  523. 523. *Hikida T, Basal ganglia circuit mechanisms for flexible behavio, 第40回日本神経科学大会, 2017 BibTeX
  524. 524. *J. Chikazoe, Importance of pattern analysis for exploring shared neural correlates across modalities, 第40回日本神経科学大会, 2017 BibTeX
  525. 525. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Toshiki Yoshimine, Yukiyasu Kamitani, Youichi Saitoh, Induction of sensorimotor plasticity altered pain in phantom limb patients with instructions to not move the phantom hand, 2017 BibTeX
  526. 526. 銅谷賢治, 大脳基底核の機能モデル・病態モデルと実験的検証, 第32回 日本大脳基底核研究会 (JBAGS2017), 2017 BibTeX
  527. 527. 高橋　英彦, 人工知能と統合失調症研究の接点., 2017 BibTeX
  528. 528. 上園 志織、田辺 創思、藤原 真紀、柘植 仁美、中村 克樹、井上 謙一、高田 昌彦, マーモセットにおける大脳基底核から帯状皮質への多シナプス性入力様式, 2017 BibTeX
  529. 529. 山下 祐一、片平 健太郎, 研究領域基準（RDoC）は有効か？ 計算モデルによる精神医学研究ストラテジー評価方法の提案, 第113回日本精神神経学会学術総会, 2017 BibTeX
  530. 530. 柳澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹、神谷之康、齋藤洋一, 皮質可塑性の制御による幻肢痛の病態解明と治療, 日本疼痛学会 シンポジウム「痛みと脳」研究の最前線, 2017 BibTeX
  531. 531. *本田秀仁，白砂大，松香敏彦，植田一博, フレーム選択における意図と潜在的処理, 日本認知心理学会第15回大会, 2017 BibTeX
  532. 532. *白砂大，本田秀仁，松香敏彦，植田一博, なじみ深さのマッチング: familiarityの類似性に基づく選択, 日本認知心理学会第15回大会, 2017 BibTeX
  533. 533. *夛田 裕貴， 幸 優佑，林 楓，萩原 良信，谷口 忠大, ノンパラメトリックベイス二重分節解析器のTIDIGITSコーパスへの適用, 2017年度 人工知能学会全国大会（第31回）（JSAI2017), 2017 BibTeX
  534. 534. 丹野良介*， 下田和， 柳井啓司, 複数スタイルの融合と部分的適用を可能とする Multi-style Feed-forward Network の提案, 人工知能学会全国大会, 2017 BibTeX
  535. 535. 栁澤琢史, MEG-BMIによる幻肢痛の病態解明と治療, 第25回東京臨床脳画像解析研究会 特別講演１, 2017 BibTeX
  536. 536. 小島 大樹, 土井 樹, 池上 高志, DCGANの作る仮想世界と現実空間のMap, 人工知能学会全国大会2017, 2017 BibTeX
  537. 537. シナパヤ ラナ, 池上 高志, Video Compression with a Predictive Neural Network, 人工知能学会全国大会2017, 2017 BibTeX
  538. 538. *那須野 薫，松尾 豊, 深層強化学習におけるオフライン事前学習法, 人工知能学会全国大会2017, 2017 BibTeX
  539. 539. *冨山 翔司，味曽野 雅史，鈴木 雅大，中山 浩太郎，松尾 豊, 画像とテキストの潜在的な意味情報を用いたニューラル翻訳モデルの提案, 人工知能学会全国大会2017, 2017 BibTeX
  540. 540. *松尾 豊, ディープラーニングと進化, 人工知能学会全国大会2017, 2017 BibTeX
  541. 541. *谷志翔， 田口亮， 服部公央亮， 保黒政大， 梅崎太造, 三次元空間における相対位置概念の学習, 2017年度 人工知能学会全国大会（第31回）（JSAI2017), 2017 BibTeX
  542. 542. 會下拓実*， 柳井啓司, 食事レシピ情報を利用した食事画像からのカロリー量推定, 情報処理学会 コンピュータビジョンとイメージメディア研究会 (CVIM), 2017 BibTeX
  543. 543. 松尾真*， 下田和， 柳井啓司, 画像スタイル変換とWeb 画像を用いた画像の任意質感生成, 人工知能学会全国大会, 2017 BibTeX
  544. 544. *疋田貴俊, 柔軟な行動のための大脳基底核神経回路の恒常性維持機構とその破綻, 第90回日本薬理学会, 2017 BibTeX
  545. 545. *橋本さゆり、小林一郎, 深層強化学習を用いた動作制御に関する一考察, 情報処理学会第79回全国大会, 2017 BibTeX
  546. 546. 野匡隼，中村友昭，長井隆行，持橋大地，小林一郎，金子正秀*, 階層ディリクレ過程による動作クラス数推定を導入したGP-HSMMによる連続動作からの基本動作抽出, 情報処理学会 第80回全国大会, 2017 BibTeX
  547. 547. 松本有紀子、孫樹洛、村上晶郎、西田知史、西本伸志、高橋英彦, 高次視覚野応答のエンコーディングによる統合失調症の脳内意味表象異常の評価, 2017 BibTeX
  548. 548. 柳澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹, MEG Neurofeedbackによる幻肢痛治療, 第19回日本ヒューマンブレインマッピング学会, 2017 BibTeX
  549. 549. *Waggoner RA, Tanskanen T, Tanaka K, Cheng K, Impact of multi-band EPI on serial autocorrelations, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 1st Scientific Meeting, 2017 BibTeX
  550. 550. *Gupta S, Waggoner RA, Tanaka K, Cheng K, Size and Position of load affects the mutual coupling between the elements of array coil, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 1st Scientific Meeting, 2017 BibTeX
  551. 551. *Gupta S, Waggoner RA, Tanaka K, Cheng K, Comparison of temperature increase in a phantom, calculated by the numerical simulations, measured by the MR thermometry and by the temperature sensors, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 1st Scientific Meeting, 2017 BibTeX
  552. 552. *中原裕之, 意思決定と社会知性：その脳計算理解に向けて, 第18回京都大学・情報学シンポジウム, 2017 BibTeX
  553. 553. *疋田貴俊, 認知学習におけるドーパミンD2L受容体の役割解析, 新潟脳神経研究会, 2017 BibTeX
  554. 554. 坂上雅道, 意思決定にかかわる２つの神経回路とその相互作用, 国際高等研究プロジェクト「精神発達障害から考察するdecision makingの分子的基盤」2016年度第1回研究会, 2017 BibTeX
  555. 555. 柳澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹、神谷之康、齋藤洋一, BMIによる幻肢痛の病態解明と新たな治療法開発, 第56回日本定位・機能神経外科学会, 2017 BibTeX
  556. 556. 栁澤琢史、平岡寿公、小林真紀、福間良平、荒木俊彦、押野悟、吉峰俊樹、貴島晴彦, 側頭葉てんかんにおける発作間欠期てんかん性活動のネットワーク, 日本てんかん外科学会, 2017 BibTeX
  557. 557. Sho Ito, Hiroaki Gomi, Impact of changes in visual feedback on long-latency stretch reflex during visually guided movement, 第16回 脳と心のメカニズム 冬のワークショップ, 2017 BibTeX
  558. 558. Takamuku S, Forbes P, Hamilton A, Gomi H , Inverse dynamics computation in adults with autism – Examination based on perceptual biases., 第16回 脳と心のメカニズム 冬のワークショップ, 2017 BibTeX
  559. 559. 福田 玄明, Ning Ma, 鈴木 真介, 原澤 寛浩, 上野 賢一, Gardner Justin L, 一戸 紀孝, 春野 雅彦, Cheng Kang, *中原 裕之, Neural mechanisms and computation that mediates value by others’ reward for decision making, 脳と心のメカニズム 第17回冬のワークショップ脳の感覚情報処理 ―データマイニングと計算モデル―, 2017 BibTeX
  560. 560. Ning Ma, 原澤 寛浩, 上野 賢一, 一戸 紀孝, 春野 雅彦, Cheng Kang, *中原 裕之, Neural mechanisms for deciding with predicting others, 脳と心のメカニズム 第17回冬のワークショップ脳の感覚情報処理 ―データマイニングと計算モデル―, 2017 BibTeX
  561. 561. *中原裕之, Basal ganglia, reinforcement learning and beyond, 京都大学医学研究科 神経科学教育コースセミナー, 2016 BibTeX
  562. 562. *小口峰樹, 動物における実践的推論とモーガンの公準, 日本科学哲学会第49回年次大会, 2016 BibTeX
  563. 563. *疋田貴俊，林勇一郎，澤明, 変異型DISC1トランスジェニックマウスは場所選好試験において海馬CA1場所細胞の報酬関連活動の低下を示す, 日本生理学会第109回近畿生理学談話会, 2016 BibTeX
  564. 564. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens neurons is necessary for behavioral flexibility in an IntelliCage place discrimination task, 日本生理学会第109回近畿生理学談話会, 2016 BibTeX
  565. 565. 坂上雅道, 脳と心の接点を探る研究の最前線日本理論心理学会第62回大会シンポジウム, 2016年日本理論心理学会第62回大会シンポジウム　科学としての心理学理論にとって信憑性のあるデータが必須である。, 2016 BibTeX
  566. 566. 中原裕之, 脳科学のデータ同化展望：モデルベースドfMRIを起点に, 理研データ同化ワークショップ, 2016 BibTeX
  567. 567. *疋田貴俊, ドパミンによる大脳基底核神経回路の制御機構, 平成28年度日本アルコール・アディクション医学会学術総会, 2016 BibTeX
  568. 568. *白砂大・松香敏彦, 問題文と選択肢の双方の熟知量に基づく推論, 日本認知科学会, 2016 BibTeX
  569. 569. *林楓，中島諒，長坂翔吾，谷口忠大, 階層ディリクレ過程隠れ言語モデルと 深層学習を用いた語彙獲得過程の計算論, 日本認知科学会第33回大会, 2016 BibTeX
  570. 570. *Waggoner RA, Tanskanen T, Tanaka K, Cheng K, Serial autocorrelations and multiband fMRI, 第44回日本磁気共鳴医学会大会, 2016 BibTeX
  571. 571. *Gupta S, Waggoner RA, Tanaka K, Cheng K, Effect of load size and load position on coupling between the elements of an array coil, 第44回日本磁気共鳴医学会大会, 2016 BibTeX
  572. 572. *疋田貴俊, 神経回路から精神疾患病態へ, 第38回日本生物学的精神医学会、第59回日本神経化学会大会合同年会, 2016 BibTeX
  573. 573. *森本淳, ヒューマノイドロボットの運動学習, 第16回Kフォーラム ざっくばらんフォーラム「情報学からの価値創造」(2016/8/29-31), 2016 BibTeX
  574. 574. *疋田貴俊, 認知学習における大脳基底核神経回路機構, 第61回 脳の医学・生物学研究会, 2016 BibTeX
  575. 575. *Tanskanen T, Kao CH, Waggoner RA, Ueno K, Tanaka K, Cheng K, Columnar scale representation of faces in the human inferotemporal cortex, 第39回日本神経科学大会, 2016 BibTeX
  576. 576. *Kao CH, Tanskanen T, Ueno K, Waggoner RA, Tanaka K, Cheng, K, Columnar organization of face orientation procession I human occipital face area, 第39回日本神経科学大会, 2016 BibTeX
  577. 577. *田中啓治, エキスパートの直観を司る神経ネットワーク, 第39回日本神経科学大会, 2016 BibTeX
  578. 578. `Gerard-Mercier F, Tanaka K, Synchronous beta oscillations in the fronto-striatal loop for behavioral rule switching in macaque monkeys, 第39回日本神経科学大会, 2016 BibTeX
  579. 579. *Mansouri FA, Tanaka K, The role of frontal pole cortex in primate goal-directed behaviour, 第39回日本神経科学大会, 2016 BibTeX

書 籍

  1. 1. 坂上雅道, 報酬予測と意思決定の神経機構、アディクションサイエンス－依存・嗜癖の科学, アディクションサイエンスー依存・嗜癖の科学ー, 朝倉書店, 2019 BibTeX
  2. 2. Doya, Kenji, Computational models of human/animal reinforcement learning, The Cambridge Handbook on Computational Cognitive Sciences, 2023 BibTeX
  3. 3. *叶尤奇, 根橋玲子, 中原裕之, 文化神経科学の視座から見た文化と個人の関係, 「縁側」知の生成にむけて, 明石書店, 2022 BibTeX
  4. 4. 坂上雅道, 脳と心の関係, Newton 脳 大図鑑, Newton PRESS, 2022 BibTeX
  5. 5. 坂上雅道, 世界最先端の研究が教える すごい脳科学, 総合法令出版, 2022 BibTeX
  6. 6. *谷口忠大, 6章「記号創発ロボティクス」, 認知科学講座4 心をとらえるフレームワークの展開, 2022 BibTeX
  7. 7. *谷口忠大, 僕とアリスの夏物語 人工知能の，その先へ, 2022 BibTeX
  8. 8. *岩橋直人, 人工知能, 人間の許容・適応限界事典, 2022, 2022 BibTeX
  9. 9. Doya, Kenji, Reinforcement learning, The Cambridge Handbook on Computational Cognitive Sciences, 2021 BibTeX
  10. 10. 岩橋直人他63名, 人工知能を用いた五感・認知機能の可視化とメカニズム解明, 技術情報協会, 2021 BibTeX
  11. 11. *坂上雅道,小口峰樹, 既知から未知を見出す脳メカニズム, A Complete Handbook of the Association Cortices:Cerebral Localization,Neuroscience and Neuropsychology, 医学書院, 2021 BibTeX
  12. 12. *小澤貴明, 疋田貴俊, 食のもたらす快情動の神経メカニズム 報酬系の脳内回路, 羊土社, 2021 BibTeX
  13. 13. Morioka H, Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits, RIKEN AIP Open Seminar, 2021, 一般向け講演会 BibTeX
  14. 14. キーラン・ヒーリー (著), 瓜生 真也 (翻訳), 江口 哲史 (翻訳), 三村 喬生 (翻訳), 講談社, 2021, 翻訳 BibTeX
  15. 15. Osanai M, Miwa H, Tamura A, Kikuta S, Iguchi Y, Yanagawa Y, Kobayashi K, Katayama N, Tanaka T, Mushiake H, Multimodal functional analysis platform: 1. Ultrathin fluorescence endoscope imaging system enables flexible functional brain imaging, Springer Nature Singapore Pte Ltd, 2021 BibTeX
  16. 16. *岩橋直人, 協力する知能をつくる ―運転から言語獲得までを統べる協力の数理, 人工知能を用いた五感・認知機能の可視化とメカニズム, 2021, 2021 BibTeX
  17. 17. 谷口忠大, イラストでで学ぶ人工知能概論 第二版, 2020 BibTeX
  18. 18. 井上謙一、高田昌彦, 大型霊長類脳神経系への遺伝子導入による活動操作・活動計測, 羊土社, 2020, # BibTeX
  19. 19. 谷口忠大, 心を知るための人工知能: 認知科学としての記号創発ロボティクス (越境する認知科学), 共立出版, 2020 BibTeX
  20. 20. 松本英之, 内田光子, 内田直滋, 強化学習とドーパミンの多様性, クバプロ, 2020 BibTeX
  21. 21. *山下 祐一, 脳の計算理論に基づく発達障害の病態理解, 星和書店, 2020 BibTeX
  22. 22. 髙橋 英彦, 社会脳とギャンブル, 日本学術協力財団, 2020 BibTeX
  23. 23. 宗田卓史，国里愛彦，片平健太郎，沖村宰，*山下祐一, 計算神経科学と精神医学―情報の観点から精神疾患を見る, 学樹書院, 2020 BibTeX
  24. 24. *庄野 逸, 6.10 節 エッジコンピューティングと人工知能, 近代科学社, 2019 BibTeX
  25. 25. *庄野 逸, 13.5節 深層学習と視覚, 近代科学社, 2019 BibTeX
  26. 26. 谷口忠大, 賀茂川コミュニケーション塾, 世界思想社, 2019 BibTeX
  27. 27. Suzuki A, Sakanashi H, Kido S, *Shouno H, Deep learning in textural medical image analysis, Springer, 2019 BibTeX
  28. 28. 谷口忠大，他, AI時代の「自律性」 未来の礎となる概念を再構築する, 勁草書房, 2019, 河島茂生、ロボットの自律性概念、 BibTeX
  29. 29. *庄野 逸, 3.6 節 AI 活用による画像診断システムの開発, エヌ・ティー・エス, 2019 BibTeX
  30. 30. 髙橋 英彦, 依存症の脳画像, 朝倉書店, 2019 BibTeX
  31. 31. *庄野 逸, Chapter 1 人工知能（AI）総論, オーム社, 2019 BibTeX
  32. 32. *国里 愛彦、片平 健太郎、沖村 宰、山下 祐一, 計算論的精神医学, 勁草書房, 2019 BibTeX
  33. 33. アンジェロ・カンジェロシ，マシュー・シュレシンジャー(著)岡田浩之，谷口忠大(監訳), 発達ロボティクスハンドブック, 福村出版, 2019 BibTeX
  34. 34. *疋田貴俊, どうして麻薬にはまるの？, 化学同人, 2018 BibTeX
  35. 35. *山口隆司, タンパク質がオスとメスの性行動の違いをつくるの？, 化学同人, 2018 BibTeX
  36. 36. *疋田貴俊, 動物モデル, 最新医学社, 2018 BibTeX
  37. 37. J Chikazoe, S Konishi, Chapter “Functional Neuroimaging Approaches to Human Memory” in book: Memory in a Social Context, Springer, 2017 BibTeX
  38. 38. 谷口忠大, 그림과 수식으로 배우는 통통 인공지능, Jpub, 2017, 「イラストで学ぶ人工知能概論」韓国語訳 BibTeX
  39. 39. 谷口忠大, 人工知能は言語を獲得できるか, 世界思想社, 2017 BibTeX
  40. 40. Keiji Tanaka, Mark J. Buckley, and Farshad A. Mansouri, Functional division among prefrontal cortical areas in an analog of Wisconsin Card Sorting Test, Prefrontal Cortex as an Executive, Emotional, and Social Brain, Springer, 2017, Book chapter BibTeX
  41. 41. 森本淳,杉本徳和, モリモトジュン、スギモトノリカズ, 高次元・実環境における強化学習, 森北出版, 2016, # 招待 BibTeX

受賞

  1. 1. 米丸ひなの（疋田Lab), マウスにおける新生仔期NMDA受容体機能阻害が成体期の衝動性に及ぼす影響, 令和4(2022)年度 『大阪大学女子大学院生優秀研究賞』, 2023 BibTeX
  2. 2. 吉田遼（大関研究室）, 一高記念賞, 東京大学, 2023 BibTeX
  3. 3. 青峰 良淳（疋田Lab), インポーチンα3（KPNA３）欠損による報酬に対する動機づけの上昇とその脳内ネットワーク変化, 第114回近畿生理学談話会若手優秀発表賞, 2022 BibTeX
  4. 4. 松本 悠真（疋田Lab), 報酬予測中のマウス前頭前皮質におけるドーパミン放出 ダイナミクスの解析, 第24回活性アミンに関するワークショップ学生最優秀発表賞, 2022 BibTeX
  5. 5. 杉浦伊織（琉球大学修士課程学生）, 伊禮司（琉球大学博士課程学生）,銅谷賢治教授, 倉田耕治（琉球大学教授）、宮田龍太（琉球大学助教）, 2022年度日本神経回路学会最優秀研究賞, 2022 BibTeX
  6. 6. OIT-RITS, RoboCup Japan Open 2021 @Home DSPL Technical Challenge 準優勝, ロボカップ日本委員会, 2022 BibTeX
  7. 7. 梶原侑馬(Doya Unit), 2022年度笹川科学研究助成, 2022 BibTeX
  8. 8. 山下陽一郎（大関研究室）, 早押しクイズにおける予測処理：機械の言語処理と人間の言語処理と, 奨励賞, NLP若手の会（YANS）第17回シンポジウム, 2022 BibTeX
  9. 9. 能地宏, 大関洋平, どれほどの統語的教示が必要十分なのか？, 委員特別賞, 言語処理学会 第28回年次大会, 2022 BibTeX
  10. 10. 松本 悠真（疋田Lab), Analysis of prefrontal dopamine release dynamics during reward expectation in mice., 日本動物心理学会 第81回大会優秀発表賞, 2021 BibTeX
  11. 11. 柴田智弘（疋田Lab), うま味成分が持つ塩味嗜好性増強効果における脳内報酬系の役割, 日本味と匂学会第55回大会優秀発表賞, 2021 BibTeX
  12. 12. OIT-RITS, サービスカテゴリー、パートナーロボットチャレンジ、３位（WRS 実行委員長賞）, WRS2020愛知大会(経済産業省、新エネルギー・産業技術総合開発機構(NEDO)), 2021 BibTeX
  13. 13. NAIST-RITS-Panasonic, サービスカテゴリー、フューチャーコンビニエンスストアチャレンジ、総合優勝(経済産業大臣賞), WRS2020愛知大会(経済産業省、新エネルギー・産業技術総合開発機構(NEDO)), 2021 BibTeX
  14. 14. NAIST-RITS-Panasonic, サービスカテゴリー、フューチャーコンビニエンスストアチャレンジ、陳列・廃棄タスク、１位(NEDO 理事長賞), WRS2020愛知大会(経済産業省、新エネルギー・産業技術総合開発機構(NEDO)), 2021 BibTeX
  15. 15. NAIST-RITS-Panasonic, サービスカテゴリー、フューチャーコンビニエンスストアチャレンジ、清掃タスク、１位(NEDO 理事長賞), WRS2020愛知大会(経済産業省、新エネルギー・産業技術総合開発機構(NEDO)), 2021 BibTeX
  16. 16. T. Taniguchi and D. Mochihashi and T. Nagai and S. Uchida and N. Inoue and I. Kobayashi and T. Nakamura and Y. Hagiwara and N. Iwahashi and T. Inamura, Survey on frontiers of language and robotics”, 第９回Advanced Robotics Best Survey Paper Awards, 2021 BibTeX
  17. 17. 内部英治, モデルフリーとモデルベース強化学習のための非同期並列学習, 人工知能学会2021年度全国大会優秀賞, 2021 BibTeX
  18. 18. 能地宏, 大関洋平, 再帰的ニューラルネットワーク文法の並列化, 最優秀賞, 2021 BibTeX
  19. 19. 吉田遼（大関研究室）, 再帰的ニューラルネットワーク文法による人間の文処理のモデリング, 若手奨励賞, 2021 BibTeX
  20. 20. 栗林樹生, 大関洋平, 伊藤拓海, 吉田遼, 浅原正幸, 乾健太郎, 予測の正確な言語モデルがヒトらしいとは限らない, 委員特別賞, 2021 BibTeX
  21. 21. 坂上雅道, 第3回ヤフー株式会社コマースカンパニー金融統括本部, 優秀論文賞, 2020 BibTeX
  22. 22. 庄野 逸，寺本陶冶, VGGモデルの視覚野的解釈における解析の検討, 神経回路学会 最優秀研究賞, 2020 BibTeX
  23. 23. 山口 博行(山下Lab）, 深層学習を使った精神疾患脳構造画像の特徴量抽出, 第116回日本精神神経学会学術総会 優秀発表賞, 2020 BibTeX
  24. 24. Yuzhe Li (Doya Unit), 2020 AP-CCN Poster Award, the Asia-Pacific Computational and Cognitive Neuroscience (AP-CNN) conference., 2020 BibTeX
  25. 25. 飯野雄一（飯野Lab）, 線虫の化学物質への応答行動を制御する分子機構と神経回路機構の解明, 日本動物学会賞, 2020 BibTeX
  26. 26. Gupta S (Tanaka K Lab), Validation of RF induced temperature increase in phantom and in living human tissue: a comparison study, ISMRM Travel Award, 2020, 日本磁気共鳴医学会 BibTeX
  27. 27. 谷口忠大, イラストで学ぶロボット工学, 一般社団法人日本機械学会ロボティクス・メカトロニクス部門部門教育表彰, 2020 BibTeX
  28. 28. 上坂 佳史（庄野Lab), スパースコーディングを用いた惑星表面画像のための圧縮方法の提案, IEEE Young Researcher Award, 2020 BibTeX
  29. 29. 遠藤 瑛泰(庄野Lab), 特徴選択手法を用いたびまん性肺疾患陰影の分析, IEEE Young Researcher Award, 2020 BibTeX
  30. 30. Kenji Doya, Outstanding Achievement Award, Asia-Pacific Neural Network Society, 2020 BibTeX
  31. 31. NAIST-Rits-Panasonic （谷口Lab), NAIST-Rits-Panasonic, 1st Place, Restock & Disposal Task, Future Convenience Store Challenge Trial Competition 2019, World Robot Summit 2020, 2019 BibTeX
  32. 32. NAIST-Rits-Panasonic （谷口Lab), NAIST-Rits-Panasonic, 2nd Place, Restroom Cleaning Task, Future Convenience Store Challenge Trial Competition 2019, World Robot Summit 2020, 2019 BibTeX
  33. 33. 櫻井航輝（疋田Lab), National Tsing Hua University-Osaka University International Student Symposium Best Presentation Award, 2019 BibTeX
  34. 34. 髙橋 英彦, 日本アルコール・アディクション医学会 柳田知司賞, 2019 BibTeX
  35. 35. 銅谷賢治, 日本神経回路学会 学術賞, 2019 BibTeX
  36. 36. Paavo Parmas (Doya Unit), Best Reviewer Award,NeurIPS Conference 2019, 2019 BibTeX
  37. 37. OIT-RITS （谷口Lab), OIT-RITS, 2nd Place, RoboCup Japan Open 2019, @Home Domestic Standard Platform League, Niigata, 2019 BibTeX
  38. 38. OIT-RITS （谷口Lab), 拡張現実を用いた言語コミュニケーションにも基づくオンライン家庭環境学習, 人工知能学会 人工知能学会賞, 2019 BibTeX
  39. 39. Yohei Oseki, Charles Yang, Alec Marantz, Modeling hierarchical syntactic structures in morphological processing, Best Paper Award, 2019 BibTeX
  40. 40. 松本正幸, World Cultural Council 特別表彰, 2019 BibTeX
  41. 41. 安部川 直稔, Different spatial eye-hand coordination forms distinct motor memories in implicit visuomotor adaptation, 次世代脳プロジェクト冬のシンポジウム2018　若手優秀発表賞, 2018 BibTeX
  42. 42. 水谷晃大（疋田Lab), Characteristic Whisker Movements Reflect the Internal State of Mice Related to Reward Anticipation, 日本神経回路学会大会奨励賞, 2018 BibTeX
  43. 43. 橋本侑樹（山下Lab）, Convolutional Auto-encoder for Resting-state Functional MRI, 日本神経回路学会第28回全国大会大会奨励賞, 2018 BibTeX
  44. 44. OIT Challenger & Duckers （谷口Lab), OIT Challenger & Duckers, NEDO Chairman’s Award for Excellence in World Robot Summit （NEDO理事長賞）, World Robot Challenge 2018, Service Category, Partner Robot Challenge (Real Space), Tokyo, 2018 BibTeX
  45. 45. eR@sers （谷口Lab), eR@sers, WRS Executive Committee Chairperson’s Award（WRS実行委員長賞), World Robot Challenge 2018, Service Category, Partner Robot Challenge (Virtual Space), Tokyo, 2018 BibTeX
  46. 46. NAIST-Rits-Panasonic （谷口Lab), NAIST-Rits-Panasonic, NEDO Chairman’s Award for Excellence in World Robot Summit （NEDO理事長賞）, World Robot Challenge 2018, Service Category, Future Convenience Store Challenge, Customer Task, Tokyo, 2018 BibTeX
  47. 47. NAIST-Rits-Panasonic （谷口Lab), NAIST-Rits-Panasonic, SICE Award for Future Convenience Store Challenge（計測自動制御学会賞）, World Robot Challenge 2018, Service Category, Future Convenience Store Challenge, Customer Task, Tokyo, 2018 BibTeX
  48. 48. 山下祐一（山下Lab), Aberrant sense of agency induced by delayed prediction signal in schizophrenia: a computational modeling study, International Consortium on Hallucination Research (ICHR) Best Poster Presentation Award, 2018 BibTeX
  49. 49. 水谷晃大（疋田Lab), National Tsing Hua University-Osaka University International Student Symposium Best Presentation Award, 2018 BibTeX
  50. 50. Kenji Doya, Donald O. Hebb Award, International Neural Network Society, 2018 BibTeX
  51. 51. Kohei Ogawa, Itsuki Doi, Takashi Ikegami, and Hiroshi Ishiguro, Alter, STARTS PRIZE Ars Electronica 2018, 2018 BibTeX
  52. 52. Kohei Ogawa, Itsuki Doi, Takashi Ikegami, and Hiroshi Ishiguro, Alter, Ars Electronica 2018 Award of Distinction, 2018 BibTeX
  53. 53. Ri-one （谷口Lab), Ri-one, 3rd Place, RoboCup 2018, @Home Education Challenge, Canada, 2018 BibTeX
  54. 54. Duckers （谷口Lab), Duckers, 3rd Place, World Robot Challenge Pre-event, Service Category, Partner Robot Challenge (Virtual Space), Gifu, 2018 BibTeX
  55. 55. 谷口彰 （谷口Lab), WBAI奨励賞, WBAI奨励賞, 2018 BibTeX
  56. 56. OIT Challenger & Duckers （谷口Lab), OIT Challenger & Duckers, 3rd Place, RoboCup Japan Open 2018, @Home Domestic Standard Platform League, Gifu, 2018 BibTeX
  57. 57. Atsushi Masumori (Ikegami Lab), 身体化されたニューラルネットワークにおける自律的な内と外の境界の規定, 人工知能学会全国大会2018優秀賞, 2018 BibTeX
  58. 58. Atsushi Masumori (Ikegami Lab), Autonomous Regulation of Self and Non-Self by Stimulation Avoidance in Embodied Neural Networks2018, Artificial Life Conference 2018 Special “Beyond AI” Paper Award, 2018 BibTeX
  59. 59. 丹野良介，會下拓実，柳井啓司, AR DeepCalorieCam: AR表示型食事カロリー量推定システム, 第10回データ工学と情報マネジメントに関するフォーラム（DEIM2018） 優秀インタラクティブ賞, 2018 BibTeX
  60. 60. 鈴木 雅大,松尾豊, 異なるモダリティ間の双方向生成のための深層生成モデル, 情報処理学会2018年度論文賞, 2017 BibTeX
  61. 61. 栁澤琢史, 異能vationジェネレーションアワード企業特別賞, 2017 BibTeX
  62. 62. Chris Reinke (Doya Unit), Average Reward Optimization with Multiple Discounting, 24th International Conference on Neural Information Processing (ICONIP 2017), Best Student Paper Award, 2017 BibTeX
  63. 63. Atsushi Masumori (Ikegami Lab), Learning by Stimulation Avoidance in Cultured Neuronal Cells, Proc of the 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2017) Best paper award, 2017 BibTeX
  64. 64. 栁澤琢史, バイオインダストリー奨励賞, 2017 BibTeX
  65. 65. 疋田貴俊, 日本神経精神薬理学会第6回学術奨励賞, 日本神経精神薬理学会, 2017 BibTeX
  66. 66. 『Alter』制作チーム（代表：石黒 浩／池上 高志）, Alter, 文化庁メディア芸術祭アート部門優秀賞, 2017 BibTeX
  67. 67. Takufumi Yanagisawa, BCI award, 2017 BibTeX
  68. 68. 丹野 良介, 泉 裕貴, 柳井 啓司, ConvDeconvNetの効率的モバイル実装による 画像変換・物体検出・領域分割リアルタイムiOSアプリ群, 画像の認識・理解シンポジウム（MIRU） MIRUデモ発表賞, 2017 BibTeX
  69. 69. Ryosuke Tanno, Keiji Yanai, Unseen Style Transfer Network, 画像の認識・理解シンポジウム（MIRU） MIRUインタラクティブ発表賞, 2017 BibTeX
  70. 70. Makoto Hayase, Poster Award of 13th NeuroPsychoEconomics Conference, 2017 BibTeX
  71. 71. Ri-one and Duckers （谷口Lab), Ri-one and Duckers, 3rd Place, RoboCup Japan Open 2017, @Home Education League, Aichi, 2017 BibTeX
  72. 72. Duckers （谷口Lab), Duckers, 3rd Place, RoboCup Japan Open 2017, @Home Simulation League, Aichi, 2017 BibTeX
  73. 73. 鈴木真介, 2017年度 平成29年度科学技術分野の文部科学大臣表彰・若手科学者賞, 文部科学省, 2017 BibTeX
  74. 74. 松本正幸, 茨城県科学技術振興財団 つくば奨励賞, 2017 BibTeX
  75. 75. 小林 亮太, CCS研究会 奨励賞, 2017 BibTeX
  76. 76. Gupta S (Tanaka K Lab), Comparison of Temperature Increase in Phantom, Calculated by Numerical Simulations, Measured by the MR Thermometry and by Temperature Sensors, Outstanding Poster, 2017, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter BibTeX
  77. 77. Takufumi Yanagisawa, 中谷賞奨励賞, 2017 BibTeX
  78. 78. HaiLong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Yuusuke Tanaka, and Takashi Bando, Reducing the negative effect of defective data on driving behavior segmentation via a deep sparse autoencoder, IEEE GCCE 2016 Outstanding Paper Award, 2016 BibTeX
  79. 79. 疋田貴俊, 日本生物学的精神医学会若手研究者育成プログラム最優秀奨励賞, 日本生物学的精神医学会, 2016 BibTeX
  80. 80. 森田真規子, 日本生物学的精神医学会国際学会発表奨励賞, 日本生物学的精神医学会, 2016 BibTeX
  81. 81. Macpherson T, JNS-SfN exchange travel award, 日本神経科学学会, 2016 BibTeX
  82. 82. 松本正幸, 日本学術振興会賞, 2016 BibTeX
  83. 83. 五味裕章, フェロー称号(情報・システム) , 電子情報通信学会, 2016 BibTeX

報道発表

  1. 1. 小口峰樹,田中慎吾,Xiaochuan Pan,菊水健史,守屋敬子,加藤成樹,小林和人,坂上雅道（学校法人玉川学園HP), 2021 BibTeX
  2. 2. 井澤淳, AIとの比較から 学習のコツをつかむ脳のメカニズムを解明, Tsukuba Journal, 2023, https://www.tsukuba.ac.jp/journal/technology-materials/20230708180000.html BibTeX
  3. 3. 疋田貴俊（大阪大学）, 同じ失敗を繰り返さないための脳内メカニズムを解明＝阪大, MIT Technology Review, 2023, https://www.technologyreview.jp/n/2023/05/03/306101/ BibTeX
  4. 4. 疋田貴俊（大阪大学）, Research reveals brain pathway that signals when we have made a mistake and facilitates better future decision-making, MedicalXpress, 2023, https://medicalxpress.com/news/2023-04-reveals-brain-pathway-future-decision-making.html BibTeX
  5. 5. 小口峰樹,李楊,松本良恵,清成透子,山本和彦,杉浦繁貴,坂上雅道（学校法人玉川学園HP）, 2023 BibTeX
  6. 6. 大関洋平, 人間とAIが言葉で協働するくらしの実現に向けて, 科学技術振興機構, 2023, https://www.jst.go.jp/sis/scenario/list/2023/03/202303-01.html BibTeX
  7. 7. 大関洋平, AWS事例ピックアップインタビュー, クラスメソッド株式会社, 2023, https://classmethod.jp/cases/u-tokyo-oseki/ BibTeX
  8. 8. Tadahiro Taniguchi, 結局、AIってなんなの？『地球外少年少女』磯光雄監督×AI研究者・谷口忠大教授対談, Business Insider Japan, 2022, https://www.dropbox.com/s/vmko75am2edes6d/20221129%E3%80%8E%E5%9C%B0%E7%90%83%E5%A4%96%E5%B0%91%E5%B9%B4%E5%B0%91%E5%A5%B3%E3%80%8F%E7%A3%AF%E5%85%89%E9%9B%84%E7%9B%A3%E7%9D%A3%C3%97AI%E7%A0%94%E7%A9%B6%E8%80%85%E3%83%BB%E8%B0%B7%E5%8F%A3%E5%BF%A0%E5%A4%A7%E6%95%99%E6%8E%88%E5%AF%BE%E8%AB%87%20_%20Business%20Insider%20Japan.pdf?dl=0 BibTeX
  9. 9. Yuichi Iino (Univ Tokyo), 線虫の記憶の全貌：濃さの記憶を担うタンパク質とその情報を読みだす新たな仕組みの発見, 2022, https://www.s.u-tokyo.ac.jp/ja/press/2022/7893/ BibTeX
  10. 10. Hiroaki Gomi (NTT), 世界初、腕運動学習と視線の関わりを解明～視線の向け方を考慮した効率的なスキル獲得への道筋～, exciteニュース, 2022 BibTeX
  11. 11. Hiroaki Gomi (NTT), 世界初、腕運動学習と視線の関わりを解明～視線の向け方を考慮した効率的なスキル獲得への道筋～, 朝日新聞デジタルマガジン, 2022 BibTeX
  12. 12. Hiroaki Gomi (NTT), 腕運動学習と視線の関わりを解明, 日本経済新聞, 2022 BibTeX
  13. 13. Yuichi Iino (Univ Tokyo), 困ったときは兄弟に― 学習行動を制御するタンパク質をよく似たタンパク質がサポートする ―, 2021, https://www.s.u-tokyo.ac.jp/ja/press/2021/7696/ BibTeX
  14. 14. 小口峰樹,蒋嘉森,吉岡敏秀,田中康裕,井上謙一,高田昌彦,菊水健史,野元謙作,坂上雅道（学校法人玉川学園HP）, 2021 BibTeX
  15. 15. Yuichi Iino (Univ Tokyo), 進むべきか戻るべきか？－過去の経験を基にして行動を逆転させる機構の解明－, 2021, https://www.s.u-tokyo.ac.jp/ja/press/2021/7390/ BibTeX
  16. 16. Takashi Ikegami, アンドロイドに「自己」は芽生えるのか?! 科学未来館で実験, 日本経済新聞(youtube), 2021, https://www.youtube.com/watch?v=um7uPojMz0k BibTeX
  17. 17. Takashi Ikegami, 機械人間になっても私はわたし？, Miraikan, 2021, https://www.miraikan.jst.go.jp/events/202103111783.html BibTeX
  18. 18. Tadahiro Taniguchi, 遠隔操作の重要性増すーAI 自ら学び「協力」へ, 読売新聞 朝刊 27面 科学A, 2021, 国内,新聞 BibTeX
  19. 19. Takatomi Kubo, How is the brain programmed for computer programming?, Nara Institute of Science and Technology, 2021, 国内,ネットニュース BibTeX
  20. 20. Takatomi Kubo, How the brain is programmed for computer programming?, EurekAlert!, 2021, 海外,ネットニュース BibTeX
  21. 21. Takatomi Kubo, プログラム理解能力に関連する脳活動パターンの特定に成功, EurekAlert!, 2021, 海外,ネットニュース BibTeX
  22. 22. Yuichi Iino (Univ Tokyo), ClCチャネルによる味覚応答の調節, 2021, https://www.s.u-tokyo.ac.jp/ja/press/2021/7226/ BibTeX
  23. 23. 大関洋平, 機械に人間らしく言葉を使わせるためには？, 株式会社フロムページ 夢ナビ, 2021, https://yumenavi.info/lecture.aspx?GNKCD=g011513 BibTeX
  24. 24. 大関洋平, 言葉を処理するAIは人のように「読み滞る」か？, 東北大学 大学院情報科学研究科, 2021, https://www.tohoku.ac.jp/japanese/2021/08/press20210819-03-ai.html BibTeX
  25. 25. Takatomi Kubo, プログラム理解能力に関連する脳活動パターンの特定に成功 〜習熟度の高いプログラマーほど、 プログラム理解のために脳活動が洗練されている可能性〜, 奈良先端科学技術大学院大学, 2020, 国内,ネットニュース BibTeX
  26. 26. Kenji Doya (OIST), Machine intelligence accelerates research into mapping brains, OIST News Center, 2020, https://www.oist.jp/news-center/press-releases/machine-intelligence-accelerates-research-mapping-brains BibTeX
  27. 27. 山下祐一（NCNP), 計算論的精神医学のデータベースの構築～精神疾患の理解と治療法の解決に向けて～, Press release, 2020, https://www.ncnp.go.jp/topics/2020/20201204.html BibTeX
  28. 28. Kenji Doya (OIST), Scientists reveal regions of the brain where serotonin promotes patience, OIST News Center, 2020, https://www.oist.jp/news-center/press-releases/scientists-reveal-regions-brain-where-serotonin-promotes-patience BibTeX
  29. 29. 山下祐一（NCNP), 神経発達障害の認知行動異常のメカニズムを解明, Press release, 2020, https://www.ncnp.go.jp/topics/2020/20200812.html BibTeX
  30. 30. Masayuki Matsumoto (University of Tsukuba), Dopamine neurons mull over your options, MedicalXpress他９件, 2020, https://medicalxpress.com/news/2020-07-dopamine-neurons-mull-options.html BibTeX
  31. 31. Hiroaki Gomi (NTT), NTT脳の仕組みで新発見 伸張反射が視覚による身体情報に依存, 電経新聞, 2020, http://www.denkeishimbun.co.jp/ BibTeX
  32. 32. Hiroaki Gomi (NTT), 運動を支える脳の仕組み「伸縮反射」 調整に視覚による身体情報が関与、NTTの研究所が世界で初めて発見, 科学新聞, 2020, 2020/6/12 1面 https://sci-news.co.jp/ BibTeX
  33. 33. Hiroaki Gomi (NTT), NTT、運動中の伸張反射の調整と脳内情報処理の関連性を発見, WebMagazine AXIS, 2020, https://www.axismag.jp/posts/2020/06/217671.html BibTeX
  34. 34. Hiroaki Gomi (NTT), NTT、脳の「伸張反射」が視覚による身体情報に依存して調整されることを発見, 日本経済新聞, 2020, https://www.nikkei.com/article/DGXLRSP535033_R00C20A6000000/ BibTeX
  35. 35. Hiroaki Gomi (NTT), NTT、脳の「伸張反射」が視覚による身体情報に依存して調整されることを発見, 日経クロステック, 2020, https://xtech.nikkei.com/ BibTeX
  36. 36. Hidehiko Takahashi (Tokyo Medical and Dental University), 脳機能的結合から統合失調症・自閉症の判別法を開発し、両者の関係も明らかに―人工知能を用いた疾患判別法による精神疾患の関係性の解明に道！―, 2020, https://www.tmd.ac.jp/archive-tmdu/kouhou/20200417_1.pdf BibTeX
  37. 37. Hiroaki Gomi (NTT), Study shows how the brain balances sensory information to control muscle movement, News Medical, 2020, https://www.news-medical.net/news/20200401/Study-shows-how-the-brain-balances-sensory-information-to-control-muscle-movement.aspx BibTeX
  38. 38. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, eLife Press Release, 2020, https://elifesciences.org/for-the-press/27c84381/visual-feedback-enhances-activation-of-muscle-movement-in-response-to-bodily-sensation BibTeX
  39. 39. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, Sciene Daily, 2020, https://www.sciencedaily.com/releases/2020/03/200331130002.htm BibTeX
  40. 40. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, Eurekalert, 2020, https://www.eurekalert.org/pub_releases/2020-03/e-vfe033120.php BibTeX
  41. 41. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, News Break, 2020, https://www.newsbreak.com/news/0OdPLV9V/visual-feedback-enhances-activation-of-muscle-movement-in-response-to-bodily-sensation BibTeX
  42. 42. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, Agenparl, 2020, https://agenparl.eu/visual-feedback-enhances-activation-of-muscle-movement-in-response-to-bodily-sensation/ BibTeX
  43. 43. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, The better Parent, 2020, https://thebetterparent.com/2020/03/visual-feedback-enhances-activation-of-muscle-movement-in-response-to-bodily-sensation/ BibTeX
  44. 44. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, Bioengineering facebook, 2020, https://www.facebook.com/permalink.php?id=155114304512496&story_fbid=3096827447007819 BibTeX
  45. 45. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, 365newsx, 2020, https://365newsx.com/gb/article/visual-feedback-enhances-activation-of-muscle-movement-in-response-to-bodily-sensation BibTeX
  46. 46. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, into.ai, 2020, https://into.ai/blog/news-stories/visual-feedback-enhances-activation-of-muscle-movement-in-response-to-bodily-sensation/ BibTeX
  47. 47. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, BrightSurf, 2020, https://www.brightsurf.com/news/article/033120506602/visual-feedback-enhances-activation-of-muscle-movement-in-response-to-bodily-sensation.html BibTeX
  48. 48. Hiroaki Gomi (NTT), Visual feedback enhances activation of muscle movement in response to bodily sensation, NewsLocker, 2020, https://www.newslocker.com/en-uk/profession/psychology/visual-feedback-enhances-activation-of-muscle-movement-in-response-to-bodily-sensation/ BibTeX
  49. 49. Yuichi Iino (Univ Tokyo), 線虫の全脳神経活動を1細胞レベルで神経回路にマッピングする方法の開発, 2020, https://www.s.u-tokyo.ac.jp/ja/press/2020/6724/ BibTeX
  50. 50. Takashi Ikegami, オーケストラを用いたヒューマンアンドロイドによる演奏表現の共同研究, 国立音楽大学, 2020, https://www.kunitachi.ac.jp/NEWS/introduction/20200111_01.html BibTeX
  51. 51. 中原裕之（理化学研究所）, Deepening our understanding of selfish behavior, 冊子＆Web (理研Research News), 2019, https://www.riken.jp/en/news_pubs/research_news/rr/20191213_2/index.html BibTeX
  52. 52. 中原裕之（理化学研究所）, Deepening our understanding of selfish behavior, 冊子＆Web (RIKEN Research), 2019, https://www.riken.jp/medialibrary/riken/pr/publications/riken_research/2019/rr201912.pdf BibTeX
  53. 53. Yuichi Iino (Univ Tokyo), 飢餓を感知する感覚神経は新たな行動戦略を生み出す, 2019, https://www.s.u-tokyo.ac.jp/ja/press/2019/6508/ BibTeX
  54. 54. 坂上雅道,田中慎吾,John P. O’ Doherty（学校法人玉川学園HP）, 2019 BibTeX
  55. 55. 中原裕之（理化学研究所）, NeuralPocesses involved in social value conversion, 冊子＆Web (理研Research News), 2019, https://www.riken.jp/en/news_pubs/research_news/rr/20190705_FY20190013/ BibTeX
  56. 56. 中原裕之（理化学研究所）, 「空気読めない」は脳回路によって決まる。理研が回路特定, Web news (Economic News), 2019, http://economic.jp/?p=85273 BibTeX
  57. 57. 中原裕之（理化学研究所）, 他人の利益を考慮する意思決定の脳回路 －脳回路の働き方の違いが社会行動の個人差にも関わる－, Web (理研プレスリリース), 2019, https://www.riken.jp/press/2019/20190522_1/ BibTeX
  58. 58. Takashi Ikegami, 人工生命×アンドロイド「オルタ３」に関する4社共同研究プロジェクト, Mixi, 2019, https://mixi.co.jp/press/2019/0228/3783/index.html BibTeX
  59. 59. Tadahiro Taniguchi, 意味を理解するAIが求められている, LabBaseマガジン, 2019, 国内,雑誌 BibTeX
  60. 60. Tadahiro Taniguchi, 森山和道の「ヒトと機械の境界面」記号創発ロボティクスが目指す汎用人工知能, PC Watch, 2018, 国内,ネットニュース BibTeX
  61. 61. 松本正幸（筑波大学）, 衝動的行動抑える仕組み, 日本経済新聞, 2018 BibTeX
  62. 62. Tomoki Fukai, 意思決定の脳内機構と個体差－神経活動の外的擾乱に対する感受性が行動選択の個性を決める－, press release, 2018, https://www.riken.jp/press/2018/20181114_1/ BibTeX
  63. 63. Kenji Doya (OIST), Researchers identify three shades of blue, OIST News Center, 2018, https://www.oist.jp/news-center/news/2018/10/30/researchers-identify-three-shades-blue BibTeX
  64. 64. Tadahiro Taniguchi, 京都の連携2018成長のエンジン, 日刊工業新聞, 2018, 国内,新聞 BibTeX
  65. 65. Tadahiro Taniguchi, AI人材1000人を目指すパナ、クロスアポイントメント制度で招いた男, 日経XTECH(クロステック）, 2018, 国内,ネットニュース BibTeX
  66. 66. Kenji Doya (OIST), Uncertainty in reward timing increases the effect of serotonin promoting waiting, OIST News Center, 2018, https://www.oist.jp/news-center/photos/uncertainty-reward-timing-increases-effect-serotonin-promoting-waiting BibTeX
  67. 67. Kenji Doya (OIST), Reward-predictive signals of a striosomal neuron during the odor association task, OIST News Center, 2018, https://www.oist.jp/news-center/photos/reward-predictive-signals-striosomal-neuron-during-odor-association-task BibTeX
  68. 68. 柳澤琢史, 念じて義手を動かせば痛みが和らぐ！？, 日経デジタルヘルス, 2018, https://xtech.nikkei.com/dm/atcl/feature/15/327441/022200338/ BibTeX
  69. 69. Andrea Benucci (Akira Tachiyama/Photon Create), 機械学習と実験により、脳の普遍的な計算原理を探る, RIKEN, 2018, https://www.riken.jp/medialibrary/riken/pr/publications/news/2018/rn201801.pdf BibTeX
  70. 70. Andrea Benucci (Lauren Davis), When the cat’s away, the mice will train, Lab+Life Scientist, 2017, http://www.labonline.com.au/content/computing-hardware-software/article/when-the-cat-s-away-the-mice-will-train-965389062 BibTeX
  71. 71. Tadahiro Taniguchi, 赤ちゃんと同じように自ら言語を獲得するロボットをつくる, 真宗大谷派宗務所, 2017, 国内,雑誌 BibTeX
  72. 72. 山岸俊男,坂上雅道,高岸治人,李楊 元,松本良恵,Alan Fermin,清成透子,金井良太（学校法人玉川学園HP）, 2017 BibTeX
  73. 73. Takashi Ikegami, AIについて, SBC Radio(Australia), 2017 BibTeX
  74. 74. Andrea Benucci (RIKEN press), Moving neuroscience into the fast lane, RIKEN, 2017, https://www.riken.jp/en/news_pubs/research_news/pr/2017/20171030_1/index.html BibTeX
  75. 75. Andrea Benucci (RIKEN press), Moving neuroscience into the fast lane, MedicalXpress, 2017, https://medicalxpress.com/news/2017-10-neuroscience-fast-lane.html BibTeX
  76. 76. Andrea Benucci (RIKEN press), Moving neuroscience into the fast lane, Science Newsline, 2017, http://www.sciencenewsline.com/news/2017103014510015.html BibTeX
  77. 77. Andrea Benucci (RIKEN press), Moving neuroscience into the fast lane, ALN magazine, 2017, https://www.alnmag.com/news/2017/10/moving-neuroscience-fast-lane BibTeX
  78. 78. Andrea Benucci (RIKEN press), Moving neuroscience into the fast lane, EurekAlert, 2017, https://www.eurekalert.org/pub_releases/2017-10/r-mni102717.php BibTeX
  79. 79. Tadahiro Taniguchi, 国際フィールドロボットフォーラム]①日本とオーストラリアの人工知能ロボットの研究, 韓国ロボット新聞, 2017, 海外,新聞 BibTeX
  80. 80. Shinsuke Suzuki, YAHOO!JAPANニュース, 2017, https://news.yahoo.co.jp/byline/ishidamasahiko/20171024-00077291/ BibTeX
  81. 81. Shinsuke Suzuki, Nature Japan注目のハイライト, 2017, https://www.natureasia.com/ja-jp/research/highlight/12232 BibTeX
  82. 82. Tadahiro Taniguchi, 大学教授と社員兼業、AI研究意思決定早く, 日経産業新聞, 2017, 国内,新聞 BibTeX
  83. 83. Tadahiro Taniguchi, PC-Watch 第2回 全脳アーキテクチャシンポジウム開催, PC Watch, 2017, 国内,ネットニュース BibTeX
  84. 84. Tadahiro Taniguchi, 大学から企業へのクロスアポイントメントの実施, 平成29年版科学技術白書, 2017, 国内,雑誌 BibTeX
  85. 85. Tadahiro Taniguchi, パナソニック企業向け事業、東京拠点 １０月に移転し構造改革, 毎日新聞 朝刊, 2017, 国内,新聞 BibTeX
  86. 86. 柳澤琢史, ミチを開く, 朝日新聞, 2017, https://mei.osaka-u.ac.jp/wp/wp-content/uploads/2017/06/Asahi-Dr.Yanagisawa-20170601.pdf BibTeX
  87. 87. Tadahiro Taniguchi, 巻頭対談『AI/IoT/ロボットが変革する都市』, 不動産協会広報誌FORE5月号, 2017, 国内,雑誌 BibTeX
  88. 88. Tadahiro Taniguchi, 語る聞く人工知能研究者 谷口忠大さん, 読売新聞 夕刊, 2017, 国内,新聞 BibTeX
  89. 89. 山岸俊男,坂上雅道,高岸治人,李楊 元,松本良恵,清成透子,金井良太（学校法人玉川学園HP）, 2017 BibTeX
  90. 90. Tadahiro Taniguchi, 外部人材活用パナ改革, 京都新聞, 2017, 国内,新聞 BibTeX
  91. 91. 柳澤琢史, サイエンスBOX 研究進む「ニューロフィードバック」, 読売新聞, 2017, https://mei.osaka-u.ac.jp/wp/wp-content/uploads/2017/06/Yomiuri-Dr.-Yanagisawa-20170526.pdf BibTeX
  92. 92. Tadahiro Taniguchi, Panasonic pins hopes on outsider ‘catalysts’, NikkeiAsian Review, 2017, 国内,ネットニュース BibTeX
  93. 93. Tadahiro Taniguchi, パナソニック5年で1000人, 日経新聞, 2017, 国内,新聞 BibTeX
  94. 94. Tadahiro Taniguchi, Panasonic aims for 1,000 AI engineers within 5 years, NikkeiAsian Review, 2017, 国内,ネットニュース BibTeX
  95. 95. Tadahiro Taniguchi, パナソニック、本社直轄組織で試される本気度, 日経新聞, 2017, 国内,新聞 BibTeX
  96. 96. Tadahiro Taniguchi, 情報技術最前線, 京都新聞 夕刊, 2017, 国内,新聞 BibTeX
  97. 97. Tadahiro Taniguchi, 立命館大学とパナソニック 国内初のクロスアポイントメント制度を導入, 大学ジャーナルオンライン, 2017, 国内,ネットニュース BibTeX
  98. 98. 小林亮太, webコンテンツのアクセス数を予測する技術を開発, 2017, https://www.nii.ac.jp/news/release/2017/0406.html BibTeX
  99. 99. Hidehiko Takahashi (Kyotol University), ギャンブル依存症の神経メカニズム －前頭葉の一部の活動や結合の低下でリスクの取り方の柔軟性に障害－, 朝日新聞（4月5日 35面）、京都新聞（4月5日 25面）、産経新聞（4月5日 27面）、中日新聞（4月5日 3面）、日刊工業新聞（4月5日 27面）、日本経済新聞電子版（4月4日）、毎日新聞（4月5日夕刊 8面）、読売新聞（4月5日 34面）、時事通信（4月4日）に掲載およびNHK, 2017, https://www.kyoto-u.ac.jp/ja/research-news/2017-04-05-0 BibTeX
  100. 100. Tadahiro Taniguchi, AI技術者を外部雇用, 日経新聞, 2017, 国内,新聞 BibTeX
  101. 101. Tadahiro Taniguchi, 立命館大とパナソニックがクロスアポイントメント制度を導入, ICT教育ニュース, 2017, 国内,新聞 BibTeX
  102. 102. Tadahiro Taniguchi, 大学教授がパナソニックで兼業社員に ＡＩ研究で連携強化、出社は週１日, 産経WEST, 2017, 国内,新聞 BibTeX
  103. 103. Tadahiro Taniguchi, 大学研究者のままパナ社員に起用, 読売新聞, 2017, 国内,新聞 BibTeX
  104. 104. Tadahiro Taniguchi, 大学教員兼業社員に, 日経新聞, 2017, 国内,新聞 BibTeX
  105. 105. 柳澤琢史, 手足動かす想像で緩和, 読売新聞夕刊, 2017 BibTeX

その他

  1. 1. Takashi Ikegami, Alter, AI: More than Human, 2019, Barbican, Rondon, Art Exhibition 2019 5/16-8/26 BibTeX
  2. 2. 谷口彰, 脳のコンポーネント図の作り方：プロセス間関係の整理と確率モデルによる記述，「確率的生成モデルへの変換方法と実例紹介」, 第4回 WBAレクチャー［オンライン］, 2022, Invited Talk BibTeX
  3. 3. Doya,K, Possible Roles of the Basal Ganglia in Control and Inference, 2023, Swedish Basal Ganglia Society Seminar (Online) BibTeX
  4. 4. 坂上雅道, 脳における情報創成のメカニズム, 応用物理学会春季学術講演会, 2023, 上智大学, 講演 BibTeX
  5. 5. 中原裕之, 他者の選択を勘案する社会的意思決定の脳機, 公益社団法人新化学技術推進協会（JACI）ライフサイエンス技術部会 脳科学分科会 勉強会, 2023, 理化学研究所、和光, 会員向け研究会 BibTeX
  6. 6. Doya,K, Big Data Challenges in Neuroscience, 2023, Microsoft Shang-Hai(Online) BibTeX
  7. 7. Koki Mimura*, Jumpei Matsumoto, Daichi Mochihashi, Tomoaki Nakamura, Toshiyuki Hirabayashi, Makoto Higuchi, Takafumi Minamimoto*, Unsupervised decomposition of natural monkey behavior into a sequence of motion motifs, bioRxiv, 2023, Doi: 10.1101/2023.03.04.531044 BibTeX
  8. 8. Doya,K, What Can We Further Learn from the Brain for AI?, 2023, National Yang Ming Chiao Tung University BibTeX
  9. 9. 谷口忠大, 記号創発システムの構成論 言語を生み出す集合的予測符号化, 第12回 Language and Robotics研究会, 2023, Invited Talk BibTeX
  10. 10. 中原裕之, 『「縁側」知の生成にむけて：多文化関係学という場の潜在力』の第11章「文化神経科学の視座から見た文化と個人との関係」について講義・議論, 多文化関係学会2022年度第2回関東地区研究会, 2023, 神田外語学院、千代田区, 会員向け研究会 BibTeX
  11. 11. Doya,K, 学習する脳のしみく, 2023, 古堅中学校 BibTeX
  12. 12. 谷口忠大, AIと人間の知能 ＆ コミュニケーション場のメカニズムデザイン, 京都クオリア塾, 2023, Invited Talk BibTeX
  13. 13. Doya,K, 学習する脳のしみく, 2023, 読谷中学校 BibTeX
  14. 14. Tadahiro Taniguchi, Constructive Approach to the Interaction between Symbol Emergence and Qualia Structure, Qualia Structure, Grant Final Meeting, 2022, Invited Talk BibTeX
  15. 15. 谷口忠大, 記号創発ロボティクスから実世界言語理解知能への展望, 第60回AIセミナー「言語を用いて経験を共有可能なロボットの実現を目指して 」人工知能研究センター, 2022, 招待講演 BibTeX
  16. 16. 谷口忠大, コミュニケーション場のメカニズムデザイン ～自律分散的な主体の「目に見えない環境」を設計する～, コミュニケーション学会関西支部大会, 2022, 招待講演 BibTeX
  17. 17. 谷口忠大, マルチモーダルな予測に基づく発達的な統合認知システムに向けて ～世界モデルから記号創発システムまで～, シンギュラリティサロン, 2022, 招待講演 BibTeX
  18. 18. 谷口忠大, 全脳確率的生成モデル（WB-PGM）：世界モデルと推論に基づく汎用人工知能に向けて, 第7回全脳アーキテクチャ・シンポジウム, 2022, 招待講演 BibTeX
  19. 19. 谷口彰, 確率的生成モデルに基づくロボットの場所概念形成と語彙獲得, 第8回 Language and Robotics研究会, 2022, Invited Talk BibTeX
  20. 20. 谷口忠大, 潜在構造発見の自律ロボットに向けた融合AI, AI・人工知能EXPO【春】アカデミック フォーラム, 2022, 一般向け講演会・セミナー BibTeX
  21. 21. 谷口忠大, 記号創発ロボティクスと心の哲学 ～人工知能と人間による意味理解を問い直す～, 「人と情報テクノロジーの共生のための人工知能の哲学2.0の構築」 総括シンポジウム ＠Online, 2022, Invited Talk BibTeX
  22. 22. Tadahiro Taniguchi, Symbol Emergence in Robotics and Collective Predictive Coding Hypothesis, 科研費学術変革領域研究（B)クオリア構造と情報構造の関係性理解, Qualia Structure Seminar, 2022, Invited Talk BibTeX
  23. 23. Doya,K, Neuromodulation of Inference and Control in the Cortical Circuits, Sydney Neuroimaging Analysis Centre, 2022, online BibTeX
  24. 24. 谷口彰, 海馬体に整合的な確率的生成モデルの構築, ニューロコンピューティング研究会, 2022, Invited Talk BibTeX
  25. 25. Doya,K, 進化ロボットは行動の目標を見つけられるか：強化学習のその先へ, OIST–経済同友会共催セミナー, 2022, online BibTeX
  26. 26. 谷口忠大, 記号創発ロボティクスと統合的認知アーキテクチャ 人と環境との相互作用に基づく自律的な発達知能創成, 「現実空間を認識し、臨機応変に対応できるロボットの実現に向けて」 JST-CRDSワークショップ, 2022, Invited Talk BibTeX
  27. 27. 坂上雅道, 2つの意思決定回路と報酬の予測, I-URICフロンティアコロキウムとROIS/I-URIC若手研究者クロストークとの合同シンポジウム, 2022, オンライン, 講演 BibTeX
  28. 28. 谷口忠大, 人工知能の潮流とその議論 ～多様に分枝する応用に向けて～, 招待講演，MIJSニューテクノロジー委員会, 2021, Invited Talk BibTeX
  29. 29. 坂上雅道, 多様なドーパミン神経伝達から脳を探る, 大阪大学蛋白研究所セミナー, 2021, 大阪大学蛋白研究所, 講演 BibTeX
  30. 30. Doya,K, Neural Circuits for Mental Simulation, FUJITAブレインサイエンスセミナー, 2021, online BibTeX
  31. 31. 谷口彰, BRAに基づく海馬体の確率的生成モデルの構築, 第3回 WBAレクチャー［オンライン］脳型機械学習モデルの構築体験記：海馬のような確率的生成モデルはどのような足場の上に作られたのか？, 2021, Invited Talk BibTeX
  32. 32. 谷口忠大, ＡＩ時代において求められる教育 ～人工知能・ロボティクス・コミュニケーション場～, 令和３年度全国私学教育研究集会京都大会, 2021, Invited Talk BibTeX
  33. 33. Doya,K, 強化学習とベイズ推定の神経回路を探る, TOKYOニューロサイエンス研究会, 2021, online BibTeX
  34. 34. 谷口忠大, 人間とロボットの次世代共生社会に向けた コミュニケーションの理論構成 ～記号創発システム論から見る自己と他者～, 応用哲学会サマースクール「先端融合研究としての応用哲学入門」, 2021, Invited Talk BibTeX
  35. 35. 谷口忠大, 心を知るための人工知能 認知科学としての記号創発ロボティクス, 第３回ものづくりと質的研究読書会, 2021, Invited Talk BibTeX
  36. 36. 坂上雅道, #29『快楽 ドーパミンが操る天使と悪魔』, NHK BS1 ヒューマ二エンス, 2021, NHK, 出演 BibTeX
  37. 37. Doya,K, Neural Circuits for Mental Simulation, Neural Circuit Complexity: BrainCosmos Summer School, 2021, online BibTeX
  38. 38. Doya,K, Brain-inspired artificial intelligence for understanding and supporting humans, サントリーホールディングス研究交流会議, 2021, online BibTeX
  39. 39. Doya,K, Reinforcement learning and Bayesian inference, AI and Brain Computation Summer School, Cold Spring Harbor Asia, 2021, online BibTeX
  40. 40. 谷口忠大, ノンパラメトリックベイズ二重分節解析による語彙獲得 ～実世界感覚情報に基づく言語獲得の構成論に向けて～, 統計物理と統計科学のセミナー＠統計数理研究所, 2021, Invited Talk BibTeX
  41. 41. Doya,K, Toward Data-driven Brain Science, Physics informed AI Seminar, 2021, online BibTeX
  42. 42. Doya,K, What Can We Further Learn from the Brain for AI?, APNNS/IEEE-CIS DLAI Summer School 2021, 2021, online, Seminar BibTeX
  43. 43. 谷口忠大, Symbol Emergence in Robotics: Towards Emergence of Mind through Physical and Semiotic Interaction, 神戸大学, 2021, 一般向け講演会・セミナー BibTeX
  44. 44. 三村 喬生, BeggineR Session – Nested data handling -, 第90回 Tokyo.R, 2021, 一般向け講演会・セミナー BibTeX
  45. 45. 谷口忠大, 建築情報学から広がる未来, 京都国際会館（YouTubeチャンネルにて配信）、豊田啓介氏と対談, 2021, 一般向け講演会・セミナー BibTeX
  46. 46. Doya, Kenji and Kano, Eiko, The Art of Science and Science of Art., 2021, online, Seminar BibTeX
  47. 47. Morioka H, Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits, RIKEN AIP Open Seminar, 2021, Online (Zoom), 一般向け講演会 BibTeX
  48. 48. 小松三佐子, 非ヒト霊長類の広域皮質情報処理, SCBR FORUM2021, 2021, 野村コンファレンスプラザ日本橋, invited BibTeX
  49. 49. 三村 喬生, BeggineR Session – Data visualization -, 第89回 Tokyo.R, 2021, 一般向け講演会・セミナー BibTeX
  50. 50. Uchibe, Eiji and Doya, Kenji, Inverse reinforcement learning by density ratio estimation-US Patent 10,896,382 E Uchibe, K Doya (2021), 2021, Generic BibTeX
  51. 51. Takashi Ikegami, 傀儡神楽, MUTEK TOKYO 2020, 2020, Tokyo, Japan, Performance BibTeX
  52. 52. *五味裕章, 挑戦する研究者 多面的に考えて、自らが楽しくなるように発想転換。自分だけでなく、社会を楽しませようとすることも, NTT技術ジャーナル, 2020, Vol.32, NO.12, 2020.12 p56-61 BibTeX
  53. 53. 疋田貴俊, 適切な行動選択のための柔軟な脳のしくみ, 令和2年度国立大学附置研究所・センター会議第2部会シンポジウム「コロナ新時代における蛋白質科学研究」, 2020, オンライン開催, 一般向け講演会 BibTeX
  54. 54. Doya, Kenji, 脳内シミュレーションの神経機構, Online 東京大学医学部 機能生物学セミナー, 2020, online, Seminar BibTeX
  55. 55. 三村 喬生, Narrative of iris data, 第88回 Tokyo.R, 2020, 一般向け講演会・セミナー BibTeX
  56. 56. 高橋 英彦, 脳イメージングでみる依存症-ギャンブル依存を中心に－, 第28回脳の世紀シンポジウム, 2020, 朝日ホール（WEB配信）, 一般向け講演会 BibTeX
  57. 57. Doya, Kenji, Neural circuits for mental simulation, Online seminar NeuFo Monday Seminar, University of Geneva, 2020, online, Seminar BibTeX
  58. 58. *伊藤翔，五味裕章, AIと脳科学であなたをもっと知る──人に迫り人を究めるコミュニケーション科学 巧みで素早い運動を支える脳内情報処理──視覚的な身体情報による伸張反射の調整, NTT技術ジャーナル, 2020, Vol.32, NO.9, 2020.9 p23-28 BibTeX
  59. 59. Rahman, Farzana, Identifying the evolutionary conditions for the emergence of alternative reproductive tactics in simulated robot colonies, 2020, Dissertation BibTeX
  60. 60. 三村 喬生, BeggineR Session – Data analysis -, 第86回 Tokyo.R, 2020, 一般向け講演会・セミナー BibTeX
  61. 61. 五味裕章, 意識より賢い無意識 ～環境に応じた顕在・潜在的視覚運動応答の調節, NTTコミュニケーション科学基礎研究所オープンハウス 2020, 2020, オンライン開催, 一般・研究開発者向けデモ展示 BibTeX
  62. 62. 五味裕章, 巧みで素早い運動を支える脳の中の身体表現 ～手の位置推定の不確かさは伸張反射を調節する, NTTコミュニケーション科学基礎研究所オープンハウス 2020, 2020, オンライン開催, 一般・研究開発者向けデモ展示 BibTeX
  63. 63. 三村 喬生, BeggineR Session – Data visualization -, 第85回 Tokyo.R, 2020, 一般向け講演会・セミナー BibTeX
  64. 64. Doya, Kenji, Neural implementation of reinforcement learning, Virtual Seminar at DeepMind Paris, 2020, online, Seminar BibTeX
  65. 65. Kozuno, Tadashi, Efficient and Noise-Tolerant Reinforcement Learning Algorithms via Theoretical Analysis of Gap-Increasing and Softmax Operators, 2020, Dissertation BibTeX
  66. 66. Takashi Ikegami, 傀儡神楽, TOKYO ALIFE 2020 ver.0, 2020, Tokyo, Japan, Performance BibTeX
  67. 67. 谷口忠大, 記号創発ロボティクスによる人間と表象の理解 ～表象概念の探求とAIの芸術制作～, Panel talk, 表象文化論研究会 シンポジウム, 立命館大学, 2020, 一般向け講演会・セミナー BibTeX
  68. 68. Doya, Kenji, ロボット作りから脳科学へ：探究の楽しみ方, 2020, 沖縄県立向陽高校（SSH指定校）, Seminar BibTeX
  69. 69. Komatsu M, Predictive coding on auditory processing: spatio-temporal structure of signal flow in the primate neocortex, MACS International Symposium: COMPUTATIONAL PRINCIPLES IN ACTIVE PERCEPTION AND REINFORCEMENT LEARNING IN THE BRAIN, 2020, 京都, invited BibTeX
  70. 70. Parmas, Paavo, Total stochastic gradient algorithms and applications to model-based reinforcement learning, 2020, Dissertation BibTeX
  71. 71. 三村 喬生, Landscape with R, 第83回 Tokyo.R, 2020, 一般向け講演会・セミナー BibTeX
  72. 72. Tatsuya Haga and Tomoki Fukai, RIKEN Research News, 2019, https://www.riken.jp/en/news_pubs/research_news/rr/20191129_4/index.html BibTeX
  73. 73. Tatsuya Haga and Tomoki Fukai, Extending associative memory through inhibitory circuits, RIKEN Research News, 2019, https://www.riken.jp/en/news_pubs/research_news/rr/20191129_4/index.html BibTeX
  74. 74. 中原裕之, 意思決定と他者の心, 生命科学系の学部・学科へ進む意欲を持つ高校１年生のための講演, 2019, 理化学研究所、和光, 私立土佐高等学校 生命科学系の学部・学科へ進む意欲を持つ高校１年生 BibTeX
  75. 75. 松本英之, 報酬機能を司るドーパミン神経回路の情報処理機構, 第7回ライフサイエンス談話会, 2019, あべのハルカス、大阪市, 一般向け講演会 BibTeX
  76. 76. 谷口忠大, AIブームの本質とは何か ～情報学の新パラダイムを考える～, Lecture, 第5期 京都クオリア塾, 2019, 一般向け講演会・セミナー BibTeX
  77. 77. *森本淳, 脳とAIとﾛﾎﾞｯﾄの学習, ATRオープンハウス2019講演会, 2019, 株式会社国際電気通信基礎技術研究所（京都府）, invited, 一般向け講演会 BibTeX
  78. 78. 三村 喬生, BeggineR Session – Data visualization -, 第82回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  79. 79. Tatsuya Haga and Tomoki Fukai, OIST News, 2019, https://www.oist.jp/news-center/news/2019/10/7/computer-model-helps-make-sense-human-memory BibTeX
  80. 80. Tatsuya Haga and Tomoki Fukai, Computer Model Helps Make Sense of Human Memory, OIST News, 2019, https://www.oist.jp/news-center/news/2019/10/7/computer-model-helps-make-sense-human-memory BibTeX
  81. 81. 三村 喬生, BeggineR Session – Visualization & Plot -, 第72回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  82. 82. 谷口忠大, 記号創発システム論に基づく実世界での 言語学習と理解の構成論に向けて, 公益財団法人 栢森情報科学振興財団「第19回Ｋフォーラム」, 2019, 一般向け講演会・セミナー BibTeX
  83. 83. 髙橋 英彦, 知・情・意の脳画像, 世界脳週間2019, 2019, 東京医科歯科大学 M&Dタワー2階 共用講義室1, 一般向け講演会 BibTeX
  84. 84. 谷口忠大, AIの進歩によって学問はどう変わる？, 連続トークイベント「学問2.0 ～交錯する理系知と文系知～」, 梅田蔦屋書店トークイベント, 2019, 一般向け講演会・セミナー BibTeX
  85. 85. *森本淳, 強化学習の基礎と応用, 新学術領域研究「人工知能と脳科学の対照と融合」若手サマースクール2019, 2019, 理化学研究所（埼玉県）, invited, 一般向け講演会 BibTeX
  86. 86. 三村 喬生, IntRoduction & DemonstRation, 第80回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  87. 87. Komatsu M, Information Flow in the Cortex of Non-human primates with Large-Scale Electrocorticography, the NIPS Research Meeting on “Visualization and Control of Neural Dynamics, 2019, 岡崎, invited BibTeX
  88. 88. 三村 喬生, R Interface to Python, 第79回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  89. 89. 五味裕章, 身体が“見る”実世界の動きとは？～自然統計で紐解く視覚運動制御の秘密～, NTTコミュニケーション科学基礎研究所オープンハウス 2019, 2019, NTT京阪名ビル, 一般・研究開発者向けデモ展示 BibTeX
  90. 90. 三村 喬生, BeggineR Session – Probability -, 第78回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  91. 91. 谷口忠大, 人工知能で都市はどう変わるのか, 都市環境デザイン会議関西ブロック http://book.gakugei-pub.co.jp/wp/judi/forum1905/, 2019, 一般向け講演会・セミナー BibTeX
  92. 92. 三村 喬生, BeggineR Session – Data analysis -, 第77回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  93. 93. 中原裕之, 意思決定と他者の心, 自然科学カフェの集い(第41回), 2019, 機械振興会館、港区, 一般向け講演会 BibTeX
  94. 94. 谷口忠大, 機械と⼈の未来 〜ロボティクスと⼈⼯知能〜, Invited talk, 第30回「エジソンの会」国際高等研究所, 2019, 一般向け講演会・セミナー BibTeX
  95. 95. Komatsu M, Cortical information dynamics: Large-scale electrocorticography in common marmosets, German-Japanese Workshop on New Directions in System Neuroscience, 2019, Tuebingen, invited BibTeX
  96. 96. Fung Chi Chung Alan, Fukai Tomoki, A neural network model partly explains how we store and recollect memories, RIKEN Research News, 2019, https://www.riken.jp/en/news_pubs/research_news/rr/20190315_FY20180057/ BibTeX
  97. 97. 谷口忠大, 記号創発ロボティクスにおける確率的生成モデルと深層学習の融合, 東京大学先端人工知能学教育寄付講座 http://park.itc.u-tokyo.ac.jp/FAIRE/event/%E3%80%8C%E6%B7%B1%E5%B1%A4%E5%AD%A6%E7%BF%92%E3%81%AE%E5%85%88%E3%81%AB%E3%81%82%E3%82%8B%E3%82%82%E3%81%AE-%E8%A8%98%E5%8F%B7%E6%8E%A8%E8%AB%96%E3%81%A8%E3%81%AE%E8%9E%8D%E5%90%88%E3%82%92-2/, 2019, 一般向け講演会・セミナー BibTeX
  98. 98. 谷口忠大, 知能を創る–汎用人工知能への挑戦, AIビジネスインフォマティクス2019、 基調講演 https://b-event.impress.co.jp/event/aibi201903/, 2019, 一般向け講演会・セミナー BibTeX
  99. 99. 三村 喬生, BeggineR Session – Data analysis -, 第76回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  100. 100. 三村 喬生, BeggineR Session – Data pipeline -, 第75回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  101. 101. 中原裕之, ヒトの意思決定／学習／社会知性の脳メカニズムと脳計算, 理研イブニングセミナー（東京）, 2018, 理化学研究所、東京連絡事務所, 企業の方 BibTeX
  102. 102. *森本淳, ロボット制御のための運動学習, 応用脳科学コンソーシアム「計算神経科学ワークショップ」, 2018, AP品川（東京都）, invited, 一般向け講演会 BibTeX
  103. 103. Huriye Atilgan, Alex C. Kwan, Same lesson, varied choices by frontal cortex, Nature Neuroscience, 2018, News & Views: https://doi.org/10.1038/s41593-018-0282-2 BibTeX
  104. 104. 髙橋 英彦, 社会脳から見たギャンブル, 日本学術会議近畿地区会議 学術講演会, 2018, 京都大学 国際科学イノベーション棟5階 シンポジウムホール, 一般向け講演会 BibTeX
  105. 105. 三村 喬生, BeggineR Session – Data pipeline -, 第73回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  106. 106. 疋田貴俊, こころをつくる脳の蛋白質, 沖縄県平成30年度新学力グレードアップ推進事業, 2018, 大阪大学蛋白質研究所、吹田市, 高校生向け模擬授業 BibTeX
  107. 107. 小村 豊, Feeling of Knowing or Unknowingの分岐機序, 第2回サロン・ド・脳, 2018, 京都大学, サイエンスカフェ BibTeX
  108. 108. 谷口忠大, 次世代人工知能 人工知能・ロボティクスと記号学の学際融合拠点形成, イノベーションジャパン 2018 大学組織展示プレゼンテーション, 2018, 一般向け講演会・セミナー BibTeX
  109. 109. 谷口忠大, 実環境に適応する統合的認知機能の形成に向けて～記号創発ロボティクス～, 産学連携シンポジウム『人工知能と脳科学の共進化が創る未来』, 2018, 一般向け講演会・セミナー BibTeX
  110. 110. 谷口忠大, 記号創発ロボティクスに基づく認知アーキテクチャの創造に向けて, 玉川大学, 2018, 一般向け講演会・セミナー BibTeX
  111. 111. 谷口忠大, 組込み技術者のための機械学習とディープラーニング, 組み込み適塾, 2018, 一般向け講演会・セミナー BibTeX
  112. 112. 三村 喬生, Landscape with R – the Japanese R community -, 第71回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  113. 113. *森本淳, ロボットの運動学習とその困難さ, SHIBUYA SYNAPSE 第3回「現在の強化学習に何が足りないのか？」, 2018, 株式会社ディー・エヌ・エー（東京都）, invited, 一般向け講演会 BibTeX
  114. 114. 谷口忠大, インタラクションを通したロボットの言語獲得, Lecture at「情報学展望」 ＠京都大学８号館NSホール, 2018, 一般向け講演会・セミナー BibTeX
  115. 115. 三村 喬生, BeggineR Session – Bayesian Modeling -, 第70回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  116. 116. *疋田貴俊, マウスの動きから脳のはたらきを知る, 大阪大学いちょう祭, 2018, 大阪大学蛋白質研究所、吹田市, イベント参加 BibTeX
  117. 117. 三村 喬生, BeggineR Session – Data Import/Export -,, 第69回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  118. 118. Doya, Kenji, Neural circuits for reinforcement learning and mental simulation, 2018, Cold Spring Harbor Laboratory, USA, Seminar BibTeX
  119. 119. 森本淳, ヒューマノイドロボットのための人工知能, 脳科学と人工知能」高校生理科教室, 2018, 東京都, Invited# BibTeX
  120. 120. Yu Takagi, Jun-ichiro Hirayama, Saori C Tanaka, State-Unspecific Modes of Whole-Brain Functional Connectivity Predict Intelligence and Life Outcomes, bioRxiv, https://doi.org/10.1101/283846, 2018, # BibTeX
  121. 121. Doya, Kenji, Neural Circuit for Mental Simulation, 2018, Princeton Neuroscience Institute, USA, Seminar BibTeX
  122. 122. Doya, Kenji, How does the brain wire up itself on the fly?, 2018, Institute for Advanced Study, Princeton, USA, Seminar BibTeX
  123. 123. 中原裕之, Neuroscience, law, moral, 裁判所職員研修, 2018, 理化学研究所、和光, 裁判所職員 BibTeX
  124. 124. 池上高志, ALIFE, Art Hack Day 2018, 2018 BibTeX
  125. 125. 三村 喬生, R初心者セッション -Data import/Export, 第68回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  126. 126. Jun Morimoto, Learning assistive strategies for BMI exoskeleton robots, Brain AI symposium, 2018, Korea, Invited# BibTeX
  127. 127. 三村 喬生, R初心者セッション -Data manipulation, 第67回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  128. 128. 三村 喬生, 自然非言語への挑戦, 第4回 Language & Robotics研究会, 2018, 一般向け講演会・セミナー、oral presentation (査読なし) BibTeX
  129. 129. 池上高志，植田工, マリア・人工生命・膜・魚, 青森トリエンナーレ, 2018 BibTeX
  130. 130. 谷口忠大, ハイタレント研修「情報通信工学」内「機械学習」, 2017, 一般向け講演会・セミナー BibTeX
  131. 131. 谷口忠大, 確率的生成モデルとディープラーニングに基づくAIの家庭環境への実装に向けて, “AI to REAL” Technology & Innovation Forum, 2017, 一般向け講演会・セミナー BibTeX
  132. 132. 三村 喬生, R初心者セッション -Data manipulation, 第66回 Tokyo.R, 2017, 一般向け講演会・セミナー BibTeX
  133. 133. 森本淳, ヒト型ロボットの運動学習とヒトの運動支援戦略, 難環境作業スマート機械技術研究センター第4回シンポジウム, 2017, 愛知県, Invited# BibTeX
  134. 134. 小村 豊, 脳と体に宿るコギトの正体, 東京大学・特別講演, 2017, 東京, 一般向け講演会 BibTeX
  135. 135. 谷口忠大, これからはじめるための機械学習・ディープラーニング入門講座, サイエンス＆テクノロジー, セミナー, 2017, 一般向け講演会・セミナー BibTeX
  136. 136. 谷口忠大, AI・人工知能について ～第三次人工知能ブームとは何か？～, 木村鋳造所 講演会, 2017, 一般向け講演会・セミナー BibTeX
  137. 137. 平山 淳一郎, 小川 剛史, 守谷 大樹, 2017, 特許出願 特願2017-227094 BibTeX
  138. 138. Jun Morimoto, Learning assistive strategies for exoskeleton robots, IEEE-RAS International Conference on Humanoid Robots(Humanoids2017) Workshop, 2017, Birmingham, UK, Invited# BibTeX
  139. 139. 池上高志, 新しい動きと新しい現実, NSK VISION 2026 Project SENSE OF MOTION －Future Forum 2, 2017, 基調講演 BibTeX
  140. 140. 谷口忠大, 「初めての 人工知能（ AI ）入門」及び「初めての 機械学習・ディープラーニング入門セミナー」, 情報機構セミナー, 2017, 一般向け講演会・セミナー BibTeX
  141. 141. *疋田貴俊, 脳で働くタンパク質、脳を調べるタンパク質, 大阪大学リサーチクラウドカフェ, 2017, アートエリアB1、大阪市, サイエンスカフェ BibTeX
  142. 142. 谷口忠大, 第三次人工知能ブームとは何か？～技術背景から産業応用可能性まで～, （株）小野測器社内セミナー, 2017, 一般向け講演会・セミナー BibTeX
  143. 143. Tadashi Kozuno*, Eiji Uchibe, and Kenji Doya, Unifying value iteration, advantage learning, and dynamic policy programming, arXiv: 1710.10866, 2017 BibTeX
  144. 144. Doya, Kenji, Artificial Intelligence and Brain Science, 2017, Kyungpook National University, Daegu, Korea, Seminar BibTeX
  145. 145. 谷口忠大, 記号創発ロボティクスから⼈⼯知能の社会性に向けて 〜ボトムアップな道徳や規範へのとても遠い道程に思いを馳せる〜, 招待講演，第4回 Morality mod Scienceセミナー, 2017, 一般向け講演会・セミナー BibTeX
  146. 146. 谷口忠大, 「人工知能」とは何か？ ～第三次ブームの技術背景～, データ・AIビジネスを巡る競争政策と産業政策のあり方についての研究会, 2017, 一般向け講演会・セミナー BibTeX
  147. 147. 鈴木真介, 脳と心の不思議〜どうして他人のことが気になるの？〜, 片平まつり 2017, 2017, 東北大学, 一般向け講演会 BibTeX
  148. 148. E. Uchibe*, Deep inverse reinforcement learning, The Third International Workshop on Intrinsically Motivated Open-ended learning, 2017, Italy, invited# BibTeX
  149. 149. 谷口忠大, 第3次人工知能ブームとは何か？～技術背景から産業応用可能性まで～, 招待講演，10月定例会, 2017, 一般向け講演会・セミナー BibTeX
  150. 150. Takashi Ikegami, The Future of AI in the Arts, The Japan Foundation, Sydney, 2017, 講演 BibTeX
  151. 151. 内部英治*, ディープNNによる順・逆強化学習, 第27回日本神経回路学会全国大会, 2017, 北九州, invited# BibTeX
  152. 152. 銅谷賢治, 「脳内シミュレーション」の神経回路を可視化する, 新適塾「脳はおもしろい」第18回会合, 2017, 千里ライフサイエンス振興財団,大阪, Seminar BibTeX
  153. 153. Doya, Kenji, Imaging the neural circuit for mental simulation, 2017, OSAKA, Seminar BibTeX
  154. 154. 谷口忠大, 記号創発ロボティクスのアプローチ 赤ちゃんの言語獲得の構成論モデルに向けて, 招待講演，赤ちゃん学会若手合宿, 2017, 一般向け講演会・セミナー BibTeX
  155. 155. 近添淳一, 出前授業・報告, OKAZAKI編集委員-研究所だよりNo54, 2017, 自然科学研究機構, 機関広報誌 BibTeX
  156. 156. 谷口忠大, 20年後の社会：AIに代表される情報技術革新がもたらすもの, 講義，教学部夏期研修, 2017, 一般向け講演会・セミナー BibTeX
  157. 157. 谷口忠大, 記号創発ロボティクスが目指すAGI～表現(表象)学習を超えて～, 第２回全脳アーキテクチャシンポジウム, 2017, 一般向け講演会・セミナー BibTeX
  158. 158. 谷口忠大, AIは「共感」を生み出す クリエイティブにたどり着くのか？, Members University オープンキャンパス（メンバーズ株式会社によるトークイベント）, 2017, 一般向け講演会・セミナー BibTeX
  159. 159. 小村 豊, 無知の知を以て、未知の世界を渡らん, 京大・公開講座, 2017, 京都大学, 一般向け講演会 BibTeX
  160. 160. 森本淳, 強化学習の基礎とロボット応用, 「人工知能と脳科学の対照と融合」若手サマースクール, 2017, 埼玉県, Invited# BibTeX
  161. 161. *疋田貴俊, こころをつくるタンパク質, 第10回高校生のための特別公開講座：蛋白質-生命を担うこの身近で不思議な物質, 2017, 大阪大学蛋白質研究所、吹田市, 高校生向け授業 BibTeX
  162. 162. 谷口忠大, 人工知能概論, 組み込み適塾, 2017, 一般向け講演会・セミナー BibTeX
  163. 163. 新津保建秀，池上高志, Long Time Good-bye, 北アルプス芸術祭, 2017 BibTeX
  164. 164. 小村 豊, 迷う私と悟る脳, 世界脳週間講演会, 2017, 堀川高校, 高校生向け授業 BibTeX
  165. 165. Amanda alvarez, Industry-academia collaboration builds the brain science assembly line, Neurographic Blog (medium.com), 2017, Neurographic Blog (medium.com) BibTeX
  166. 166. BSI Youth, High-throughput platform for training mouse behavior, YouTube, 2017, YouTube BibTeX
  167. 167. 近添淳一, こころを視る, 2017, 岡崎市翔南中学校, 出前授業 BibTeX
  168. 168. 谷口忠大, ロボットによる言語獲得への道 ～記号創発ロボティクスへの招待～, 招待講演，2017年 第1回 IEEE Computer Society Kansai Chapter 技術講演会 ～人工知能からコグニティブ・コンピューティング～, 2017, 一般向け講演会・セミナー BibTeX
  169. 169. 谷口忠大, 大学と企業の『知』をかき混ぜるオープンイノベーションの場作り！ ～日本初クロスアポイントメント契約*， その裏側に迫る！～, パネルディスカッション，超交流会, 2017, サイエンスカフェ BibTeX
  170. 170. 小村 豊, 意思決定のシステム脳科学, SSH特別講義, 2017, 膳所高校, 高校生向け授業 BibTeX
  171. 171. 谷口忠大, 記号創発ロボティクス：実世界感覚運動情報からの言語獲得, 招待講演，第７回インテリジェントホームロボティクス研究会, 2017, 一般向け講演会・セミナー BibTeX
  172. 172. 谷口忠大, 情報機構セミナー 「初めての 人工知能（ AI ）入門」及び「初めての 機械学習・ディープラーニング入門セミナー」, 情報機構セミナー, 2017, 一般向け講演会・セミナー BibTeX
  173. 173. 池上高志, AIと倫理, AIと倫理, 2017 BibTeX
  174. 174. Jun Morimoto, Motor learning methods for humanoid control, Gatsby-Kakenhi Joint Workshop on AI and Neuroscience, 2017, London, UK, Invited# BibTeX
  175. 175. 谷口忠大, 製品の知能化・高機能化のための 人工知能（AI）の基礎と最新技術, （株）日本テクノセンターセミナー, 2017, 一般向け講演会・セミナー BibTeX
  176. 176. 三村 喬生, 初心者セッション3, 第60回 Tokyo.R, 2017, 一般向け講演会・セミナー BibTeX
  177. 177. 中原裕之, Computations for social decision-making, 脳科学塾講義, 2017, 理化学研究所、和光, 大学院学生および同程度の学力を有する者 BibTeX
  178. 178. 谷口忠大, クロスアポイントメントからの AIオープンイノベーション ～境界を超えてつなぐキャリア～, 第20回 One Panasonic イベント, 2017, サイエンスカフェ BibTeX
  179. 179. 谷口忠大, 人工知能のこれまでとこれから ～ディープラーニングと身体性の向こう側～, 招待講演，ASTER講演会, 2017, 一般向け講演会・セミナー BibTeX
  180. 180. 谷口忠大, ベイズ教師なし語彙獲得に基づく 運転対話システムの構築, 第２１回人工知能研究成果発表会, 2017, 一般向け講演会・セミナー BibTeX
  181. 181. 谷口忠大, はじめての人工知能 ～初学者のためのＡＩ技術の基本的な考え方、必要知識、導入手順、活用の留意点～, 技術情報協会セミナー, 2017, 一般向け講演会・セミナー BibTeX
  182. 182. 谷口忠大, AI & Robotics for future human-robot collaboration, 北京情報科学大学からの来訪学生を対象として, 2017, 小・中・高向け授業・実験・実習 BibTeX
  183. 183. 谷口忠大, ～全体像の理解と導入・応用を検討するためにおさえておくべきこと～, 初学者の為の人工知能セミナー, 2017, 一般向け講演会・セミナー BibTeX
  184. 184. 谷口忠大，長井隆行，山川宏, 人工知能に記号接地は必要か？ 全脳アーキテクチャと記号創発ロボティクスの目指すもの． 対照と融合, 第29回自律分散システム・シンポジウム, 2017, 一般向け講演会・セミナー BibTeX
  185. 185. 谷口忠大, 人工知能と記号創発ロボティクス ～情報の意味とコミュニケーションについて考える～, INFOSTA, 2016, 一般向け講演会・セミナー BibTeX
  186. 186. 中原裕之, 意思決定する脳 〜人のこころの予測と脳の計算〜, 理研BSI 脳科学研究者と異分野プロフェッショナルの対談イベント 第3回代官山蔦屋書店で脳科学∞つながる, 2016, 代官山蔦屋書店、代官山, 一般向け講演会 BibTeX
  187. 187. 谷口忠大, 「初めての 人工知能（ AI ）入門」及び「初めての 機械学習・ディープラーニング入門セミナー」, 情報機構セミナー, 2016, 一般向け講演会・セミナー BibTeX
  188. 188. 谷口忠大, ハイタレント研修「情報通信工学」内「機械学習」, 2016, 一般向け講演会・セミナー BibTeX
  189. 189. 谷口忠大, ノンパラメトリックベイズと深層学習に基づく音声データからの教師なし語彙獲得 ─記号創発ロボティクスによる知能と言語へのアプローチ─, AIチャレンジ研究会，人工知能学会合同研究会 2016, 2016, 一般向け講演会・セミナー BibTeX
  190. 190. 田中啓治, エキスパートの直感を司る神経回路, 2016, 駒場ファカルティハウス、渋谷区、東京都, 一般向け講演会 BibTeX
  191. 191. 谷口忠大, ノンパラメトリックベイズに基づく教師なし語彙獲得, 2016年10月度音声研究会, 2016, 一般向け講演会・セミナー BibTeX
  192. 192. 森本淳, ヒューマノイドロボットの運動学習, 第16回Kフォーラムざっくばらんフォーラム「情報学からの価値創造」, 2016, 岐阜県, Invited# BibTeX
  193. 193. Macpherson T, どうやって行動で学ぶ？, 日本学術振興会サイエンス・ダイアログ, 2016, 香川県立観音寺第一高等学校, 高校生向け授業 BibTeX
  194. 194. 田中啓治, 将棋棋士やサッカー選手の直観思考の仕組み, 2016, グランフロント大阪、大阪市、大阪府, 一般向け講演会 BibTeX
  195. 195. 中原裕之, 脳を語ろう、過去・現在・未来 ～脳とこころ～, サイエンス・カフェ, 理学研究所, 2016, 理化学研究所、和光, 一般向け講演会 BibTeX
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