研究成果
カテゴリ
発表年

国際雑誌論文

  1. 1. *Doya K, Taniguchi T, Toward evolutionary and developmental intelligence, Current Opinion in Behavioral Sciences, 2019, 29, 91-96, reviewed BibTeX
  2. 2. *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
  3. 3. *Doya K, Canonical cortical circuits and the duality of Bayesian Inference and optimal control, Current Opinion in Behavioral Sciences, 2021, 41, (in press), reviewed, Open access BibTeX
  4. 4. Idei H, Murata S, *Yamashita Y, *Ogata T, Paradoxical sensory reactivity induced by functional disconnection in a robot model of neurodevelopmental disorder, Neural Networks, 2021, 138, 150-163, reviewed& BibTeX
  5. 5. Sato, H. Kunitomo, H. Fei, X. Hashimoto, K. *Iino, Y., Glutamate signaling from a single sensory neuron mediates experience-dependent bidirectional behavior in Caenorhabditis elegans, Cell Reports, 2021, 35, 8, 109177, reviewed BibTeX
  6. 6. Matsumoto Y, Fujino J, Shiwaku H, Miyajima M, Doi S, Hirai N, Jitoku D, Takagi S, Tamura T, Maruo T, Shidei Y, Kobayashi N, Ichihashi M, Noguchi S, Oohashi K, Takeuchi T, Sugihara G, Okada T, Fujiwara T, *Takahashi H., Factors affecting mental illness and social stress in hospital workers treating COVID-19: Paradoxical distress during pandemic era, J Psychiatr Res, 2021, 137, 298-302, reviewed BibTeX
  7. 7. *Hiroshi Noji, Yohei Oseki, Effective batching for recurrent nneural network grammars, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021, Findings, reviewed& BibTeX
  8. 8. *Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara, Kentaro Inui, Lower perplexity is not always human-like, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021, Long Paper, reviewed& BibTeX
  9. 9. *Fujino J, Tei S, Itahashi T, Aoki YY, Ohta H, Izuno T, Nakamura H, Shimizu M, Hashimoto RI, Takahashi H, Kato N, Nakamura M., A single session of navigation-guided repetitive transcranial magnetic stimulation over the right anterior temporoparietal junction in autism spectrum disorder, Brain Stimul, 2021, 14, 682-684, reviewed BibTeX
  10. 10. *Yu Ohmura, Kentaro Iwami, Srikanta Chowdhury, Hitomi Sasamori Chiaki Sugiura, Youcef Bouchekioua, Naoya Nishitani, Akihiro Yamanaka, Mitsuhiro Yoshioka, Disruption of model-based decision making by silencing of serotonin neurons in the dorsal raphe nucleus, Current Biology, 2021, In Press https://doi.org/10.1016/j.cub.2021.03.048 BibTeX
  11. 11. Kawakami I, Motoda A, Hashimoto M, Shimozawa A, Masuda-Suzukane M, Ohtani R, Takase M, Kumashiro M, Samejima K, Hasegawa M, Progression of phosphorylated α-synuclein in Macaca fuscata, Brain Pathology, 2020, 12952, reviewed BibTeX
  12. 12. 1. Pham TQ, Yoshimoto T, Niwa H, Takahashi HK, Uchiyama R, Matsui T, Anderson AK, *Sadato N, *Chikazoe J, Vision-to-value transformations in artificial network and human brains, bioRxiv, 2021, doi: https://doi.org/10.1101/2020.07.29.227736, interdisciplinary work BibTeX
  13. 13. *Doya, Kenji, Miyazaki, Kayoko W and Miyazaki, Katsuhiko, Serotonergic modulation of cognitive computations, Current Opinion in Behavioral Sciences, 2021, 38, 116-123, reviewed, Open access BibTeX
  14. 14. Wang Y, Toyoshima O, Kunimatsu J, Yamada H, *Matsumoto M, Tonic firing mode of midbrain dopamine neurons continuously tracks reward values changing moment-by-moment, Elife, 2021, 10, e63166, reviewed BibTeX
  15. 15. Murakami R, Mizumaki M, Hamano Y, Akai I, *Shouno H, Texture Analysis of Magnetic Domain Images Using Statistics Based on Human Visual Perception, Journal of the Physical Society of Japan, 2021, 90, 4, 44705, reviewed& BibTeX
  16. 16. Orlandi J.G., Abdolrahmani M, Aoki R, Lyamzin D.R., *Benucci A, Distributed context-dependent choice information in mouse dorsal-parietal cortex., bioRxiv, 2021, under review & BibTeX
  17. 17. *Yamada H, Imaizumi Y, Matsumoto M, Neural population dynamics underlying expected value computation, Journal of Neuroscience, 2021, 41, 1684-1698, reviewed BibTeX
  18. 18. Lyamzin D.R, Aoki R, Abdolrahmani M, *Benucci A, Probabilistic discrimination of relative stimulus features in mice, bioRxiv, 2021, under review BibTeX
  19. 19. *Takamuku S, Ohta H, Kanai C, Hamilton AF de C, Gomi H, Seeing motion of controlled object improves grip timing in adults with autism spectrum condition: evidence for use of inverse dynamics in motor control. 2021, Experimental Brain Research, 2020, 2021, 239 BibTeX
  20. 20. *Carmen Saldana, Yohei Oseki, Jennifer Culbertson, Cross-linguistic patterns of morpheme order reflect cognitive biases: An experimental study of case and number morphology, Journal of Memory and Language, 2021, 118, 104204, reviewed BibTeX
  21. 21. Kei Oyama, Yukiko Hori, Yuji Nagai, Naohisa Miyakawa, Koki Mimura, Toshiyuki Hirabayashi, Ken-ichi Inoue, Tetsuya Suhara, Masahiko Takada, Makoto Higuchi, Takafumi Minamimoto*, Chemogenetic dissection of the primate prefronto-subcortical pathways for working memory and decision-making, Science Advances, 2021, reviewed / in press BibTeX
  22. 22. 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, bioRxiv, 2021, under revision BibTeX
  23. 23. *Yamashita Y, Psychiatric disorders as failures in the prediction machine, Psychiatry and Clinical Neurosciences, 2021, 75, 1~2, reviewed& BibTeX
  24. 24. *Ikutani, Y., Kubo, T., Nishida, S., Hata, H., Matsumoto, K., Ikeda, K., & Nishimoto, S., Expert programmers have fine-tuned cortical representations of source code, Eneuro, 2020, 8, 1, reviewed BibTeX
  25. 25. Park, C., Sakurai, Y., Sato, H., Kanda, S., Iino, Y., and *Kunitomo, H., Roles of the ClC chloride channel CLH-1 in food-associated salt chemotaxis behavior of C. elegans, eLife, 2021, 10, e55701, reviewed BibTeX
  26. 26. *Masumori Atsushi、Maruyama Norihiro、Ikegami Takashi, Personogenesis through imitating human behavior in a humanoid robot “Alter3”, Frontiers in Robotics and AI, 2021, 7, 1-13, reviewed BibTeX
  27. 27. Labuguen RT, *Matsumoto J, Negrete SB, Nishimaru H, Nishijo H, Takada M, Go Y, Inoue K, *Shibata T, MacaquePose: a novel ‘in the wild’ macaque monkey pose dataset for markerless motion capture., Front Behav Neurosci, 2021, 14, 581154, reviewed & BibTeX
  28. 28. *Freiwald Winrich A., Hosoya Haruo, Neuroscience: A Face’s Journey through Space and Time, Current Biology, 2021, 31, R13–R15, invited& BibTeX
  29. 29. *Lehky SR, Tanaka K, Sereno AB, Pseudosparse neural coding in the visual system of primates, Communications Biology, 2021, 4, 1, 50, reviewed BibTeX
  30. 30. Abdolrahmani M, Lyamzin, D.R., Aoki R, *Benucci A., Attention Decorrelates Sensory and Motor Signals in the Mouse Visual Cortex, bioRxiv, 2021, under review BibTeX
  31. 31. Sebastien Tremblay, Leah Acker, Arash Afraz, Daniel L Albaugh, Hidetoshi Amita, Ariana R Andrei, Alessandra Angelucci, Amir Aschner, Puiu F Balan, Michele A Basso, Giacomo Benvenuti, Martin O Bohlen, Michael J Caiola, Roberto Calcedo, James Cavanaugh, Yuzhi Chen, Spencer Chen, Mykyta M Chernov, Andrew M Clark, Ji Dai, Samantha R Debes, Karl Deisseroth, Robert Desimone, Valentin Dragoi, Seth W Egger, Mark AG Eldridge, Hala G El-Nahal, Francesco Fabbrini, Frederick Federer, Christopher R Fetsch, Michal G Fortuna, Robert M Friedman, Naotaka Fujii, Alexander Gail, Adriana Galvan, Supriya Ghosh, Marc Alwin Gieselmann, Roberto A Gulli, Okihide Hikosaka, Eghbal A Hosseini, Xing Hu, Janina Huer, Ken-Ichi Inoue, Roger Janz, Mehrdad Jazayeri, Rundong Jiang, Niansheng Ju, Kohitij Kar, Carsten Klein, Adam Kohn, Misako Komatsu, Kazutaka Maeda, Julio C Martinez-Trujillo, Masayuki Matsumoto, John HR Maunsell, Diego Mendoza-Halliday, Ilya E Monosov, Ross S Muers, Lauri Nurminen, Michael Ortiz-Rios, Daniel J O’Shea, Stephane Palfi, Christopher I Petkov, Sorin Pojoga, Rishi Rajalingham, Charu Ramakrishnan, Evan D Remington, Cambria Revsine, Anna W Roe, Philip N Sabes, Richard C Saunders, Hansjorg Scherberger, Michael C Schmid, Wolfram Schultz, Eyal Seidemann, Yann-Suhan Senova, Michael N Shadlen, David L Sheinberg, Caitlin Siu, Yoland Smith, Selina S Solomon, Marc A Sommer, John L Spudich, William R Stauffer, Masahiko Takada, Shiming Tang, Alexander Thiele, Stefan Treue, Wim Vanduffel, Rufin Vogels, Matthew P Whitmire, Thomas Wichmann, Robert H Wurtz, Haoran Xu, Azadeh Yazdan-Shahmorad, Krishna V Shenoy, James J DiCarlo, Michael L Platt, An open resource for non-human primate optogenetics, Neuron, 2020, 108, 6, 1075-1090, reviewed BibTeX
  32. 32. Tsutsui-Kimura I, Matsumoto H, Akiti K, Yamada MM, Uchida N, *Watabe-Uchida M, Distinct temporal difference error signals in dopamine axons in three regions of the striatum in a decision-making task., Elife, 2020, 9, e62390, reviewed BibTeX
  33. 33. *Gutierrez, Carlos Enrique, Skibbe, Henrik, Nakae, Ken, Tsukada, Hiromichi, Lienard, Jean, Watakabe, Akiya, Hata, Junichi, Reisert, Marco, Woodward, Alexander, Yamaguchi, Yoko, Yamamori, Tetsuo, Okano, Hideyuki, Ishii, Shin and Doya, Kenji, Optimization and validation of diffusion MRI-based fiber tracking with neural tracer data as a reference, Scientific reports, 2020, 10, 21285, reviewed, Open access BibTeX
  34. 34. *Arslanova I, Wang K, Gomi H, Haggard P, Somatosensory evoked potentials that index lateral inhibition are modulated according to the mode of perceptual processing: comparing or combining multi-digit tactile motion., Cognitive Neuroscience, 2020, 2020 BibTeX
  35. 35. *Sugiyama M, Tsuda K, Nakahara H, Sample Space Truncation on Boltzmann Machines, NeurIPS 2020 Workshop: Deep Learning through Information Geometry, 2020, 1-9, reviewd, & BibTeX
  36. 36. *Wang J, Elfwing S., Uchibe E, Modular deep reinforcement learning from reward and punishment for robot navigation, Neural Networks, 2021, 135, 115-126, reviewed BibTeX
  37. 37. Kato A, Kunisato Y, Katahira K, Okimura T, *Yamashita Y, Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers, Frontiers in Psychiatry, 2020, 11, 578706, reviewed& BibTeX
  38. 38. Yatsuka H, Hada K, Shiraishi H, Umeda R, Morisaki I, Urushibata H, Shimizu N, Sebastian WA, Hikida T, Ishitani T, Hanada R, Shimada T, Kimoto K, Kubota T, Hanada T, Exosc2 deficiency leads to developmental disorders by causing a nucleotide pool imbalance in zebrafish., Biochemical and Biophysical Research Communications, 2020, 533, 4, 1470-1476, reviewed BibTeX
  39. 39. *Miyazaki, Katsuhiko, Miyazaki, Kayoko W., Sivori, Gaston, Yamanaka, Akihiro, Tanaka, Kenji F. and Doya, Kenji, Serotonergic projections to the orbitofrontal and medial prefrontal cortices differentially modulate waiting for future rewards, Science Advances, 2020, 6, eabc7246, reviewed, Open access BibTeX
  40. 40. *Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo, Modeling Task Uncertainty for Safe Meta-imitation Learning, Frontiers in Robotics and AI, 2020, 7, 189, reviewed BibTeX
  41. 41. Shiwaku H, Doi S, Miyajima M, Matsumoto Y, Fujino J, Hirai N, Jitoku D, Takagi S, Tamura T, Maruo T, Shidei Y, Kobayashi N, Ichihashi M, Noguchi S, Oohashi K, Takeuchi T, Sugihara G, Okada T, Fujiwara T, *Takahashi H., Novel brief screening scale, Tokyo Metropolitan Distress Scale for Pandemic (TMDP), for assessing mental and social stress of medical personnel in COVID-19 pandemic, Psychiatry Clin Neurosci, 2020, 75, 24-25, reviewed BibTeX
  42. 42. *Yohei Oseki, Alec Marantz, Modeling human morphological competence, Frontiers in Psychology, 2020, 11, 513740, reviewed& BibTeX
  43. 43. *Fujii K, Yoshihara Y, Matsumoto Y, Tose K, Takeuchi H, Isobe M, Mizuta H, Maniwa D, Okamura T, Murai T, Kawahara Y, Takahashi H., Cognition and interpersonal coordination of patients with schizophrenia who have sports habits, PLoS One, 2020, 15, e0241863, reviewed& BibTeX
  44. 44. Yamasaki S, Aso T, Miyata J, Sugihara G, Hazama M, Nemoto K, Yoshihara Y, Matsumoto Y, Okada T, Togashi K, Murai T, Takahashi H, *Suwa T, Early and late effects of electroconvulsive therapy associated with different temporal lobe structures, Transl Psychiatry, 2020, 10, 344, reviewed BibTeX
  45. 45. Kunitomo, H., and *Iino, Y., Caenorhabditis elegans che-5 is allelic to gcy-22., MicroPubl Biol, 2020, 313, reviewed BibTeX
  46. 46. Murakami R, Tanaka H, Shinotsuka H, Nagata K, Shouno H, Yoshikawa H*, Development of multiple core-level XPS spectra decomposition method based on the Bayesian information criterion, Journal of Electron Spectroscopy and Related Phenomena, 2020, 245, 147003, reviewed& BibTeX
  47. 47. *Briones, J., Kubo, T., & Ikeda, K., Extraction of Hierarchical Behavior Patterns Using a Non-parametric Bayesian Approach, Frontiers in Computer Science, 2020, 2, reviewed BibTeX
  48. 48. *Abe, Yoshifumi, Takata, Norio, Sakai, Yuki, Hamada, Hiro Taiyo, Hiraoka, Yuichi, Aida, Tomomi, Tanaka, Kohichi, Bihan, Denis Le, Doya, Kenji and Tanaka, Kenji F, Diffusion functional MRI reveals global brain network functional abnormalities driven by targeted local activity in a neuropsychiatric disease mouse model, Neuroimage, 2020, 223, 117318, reviewed BibTeX
  49. 49. *Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, Tetsunari Inamura, Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model, Advanced Robotics, 2020, 34, 19, 1213-1228, reviewed BibTeX
  50. 50. Morioka H, Calhoun V, *Hyvärinen A, Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits, NeuroImage, 2020, 218, 116989, reviewed BibTeX
  51. 51. *Misako Komatsu, Noritaka Ichinohe, Effects of Ketamine Administration on Auditory Information Processing in the Neocortex of Nonhuman Primates, Frontiers in psychiatry, 2020, 11, 826, reviewed BibTeX
  52. 52. Idei H, Murata S, *Yamashita Y, *Ogata T, Homogeneous Intrinsic Neuronal Excitability Induces Overfitting to Sensory Noise: A Robot Model of Neurodevelopmental Disorder, Frontiers in Psychiatry, 2020, 11, 762, reviewed& BibTeX
  53. 53. *De Havas J, Ito S, Gomi H, On Stopping Voluntary Muscle Relaxations and Contractions: Evidence for Shared Control Mechanisms and Muscle State-Specific Active Breaking., The Journal of Neuroscience., 2020, 2020, 40, 31 BibTeX
  54. 54. Shinotsuka H+, Nagata K, *Yoshikawa H, Mototake Y, Shouno H, Okada M, Development of spectral decomposition based on Bayesian information criterion with estimation of confidence interval, Science and Technology of Advanced Materials, 2020, 21, 1, 402-419, reviewed& BibTeX
  55. 55. Yun M, Kawai T, Nejime M, Yamada H, *Matsumoto M, Signal dynamics of midbrain dopamine neurons during economic decision-making in monkeys, Science Advances, 2020, 6, eaba4962, reviewed BibTeX
  56. 56. Saito N, Tainaka K, Macpherson T, Hikida T, Yamaguchi S, Sasaoka T, Neurotransmission through dopamine D1 receptor is required for aversive memory formation and Arc activation in the cerebral cortex., Neuroscience Research, 2020, 156, 58-65, reviewed BibTeX
  57. 57. Mariko Tada, Kenji Kirihara, Daisuke Koshiyama, Mao Fujioka, Kaori Usui, Takanori Uka, Misako Komatsu, Naoto Kunii, Tsuyoshi Araki, Kiyoto Kasai, Gamma-Band Auditory Steady-State Response as a Neurophysiological Marker for Excitation and Inhibition Balance: A Review for Understanding Schizophrenia and Other Neuropsychiatric Disorders, Clinical EEG and neuroscience, 2020, 51, 4, 234-243, reviewed BibTeX
  58. 58. Nishioka T, Hamaguchi K, Yawata S, Hikida T, *Watanabe D, Chemogenetic Suppression of the Subthalamic Nucleus Induces Attentional Deficits and Impulsive Action in a Five-Choice Serial Reaction Time Task in Mice, Frontiers in System Neuroscience, 2020, 14, 38, reviewed BibTeX
  59. 59. Megumi Takasago, Naoto Kunii, Misako Komatsu, Mariko Tada, Kenji Kirihara, Takanori Uka, Yohei Ishishita, Seijiro Shimada, Kiyoto Kasai, Nobuhito Saito, Spatiotemporal Differentiation of MMN From N1 Adaptation: A Human ECoG Study, Frontiers in psychiatry, 2020, 11, 586, reviewed BibTeX
  60. 60. Takeuchi H, Tsurumi K, Murao T, Mizuta H, Kawada R, Murai T, *Takahashi H., Framing effects on financial and health problems in gambling disorder., Addict Behav., 2020, 110, 106502, reviewed& BibTeX
  61. 61. Han, Dongi, Doya, Kenji and *Tani, Jun, Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks, Neural Networks, 2020, 129, 149-162, reviewed BibTeX
  62. 62. Nishioka T, Hamaguchi K, Yawata S, Hikida T, Watanabe D, Chemogenetic suppression of the subthalamic nucleus induces attentional deficits and impulsive action in a five-choice serial reaction time task in mice., Frontiers in Systems Neuroscience, 2020, 14, 38, reviewed BibTeX
  63. 63. *Akira Kinose, Tadahiro Taniguchi, Integration of imitation learning using GAIL and reinforcement learning using task-achievement rewards via probabilistic graphical model, Advanced Robotics, 2020, 34, 16, 1055-1067, reviewed BibTeX
  64. 64. *Katahira K, Kunisato Y, Okimura T, Yamashita Y, Retrospective surprise: A computational component for active inference, Journal of Mathematical Psychology, 2020, 96, 202347~102347, reviewed& BibTeX
  65. 65. *Koizumi A, Hori T, Maniscalco B, Hayase M, Mishima R, Kawashima T, Miyata J, Aso T, Lau H, Takahashi H, Amano K., Atypical spatial frequency dependence of visual metacognition among schizophrenia patients, Neuroimage Clin, 2020, 27, 102296, reviewed BibTeX
  66. 66. *Yohei Oseki, Masayuki Asahara, Design of BCCWJ-EEG: Balanced corpus with human clectroencephalography, Proceedings of the International Conference on Language Resources and Evaluation (LREC), 2020, Short Paper, 189-194, reviewed& BibTeX
  67. 67. Anan M, Higa R, Shikano K, Shide M, Soda A, Carrasco Apolinaro ME, Mori K, Shin T, Miyazato M, Mimata H, Hikida T, Hanada T, Nakao K, Kangawa K, Hanada R, Cocaine has some effect on Neuromedin U expressing neurons related to the brain reward system., Heliyon, 2020, 6, 5, e03947, reviewed# BibTeX
  68. 68. Raman Rajani, *Hosoya Haruo, Convolutional neural networks explain tuning properties of anterior, but not middle, face- processing areas in macaque inferotemporal cortex, Communications Biology, 2020, 3, 1–15, reviewed& BibTeX
  69. 69. Yoshihara Y, Lisi G, Yahata N, Fujino J, Matsumoto Y, Miyata J, Sugihara GI, Urayama SI, Kubota M, Yamashita M, Hashimoto R, Ichikawa N, Cahn W, van Haren NEM, Mori S, Okamoto Y, Kasai K, Kato N, Imamizu H, Kahn RS, Sawa A, Kawato M, Murai T, Morimoto J, *Takahashi H., Overlapping but Asymmetrical Relationships Between Schizophrenia and Autism Revealed by Brain Connectivit, Schizophr Bull, 2020, 46, 1210-8, reviewed& BibTeX
  70. 70. Wang Q, Shimizu K, Maehata K, Pan Y, Sakurai K, Hikida T, Fukada Y, Takao T, Lithium ion adduction enables UPLC-MS/MS–based analysis of multi-class, 3-hydroxyl group–containing keto-steroids., The Journal of Lipid Research, 2020, 61, 4, 570-579, reviewed BibTeX
  71. 71. *Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama, Takeshi Mita, Douglas Bakkum, Urs Frey, Hirokazu Takahashi, Takashi Ikegami, Neural Autopoiesis: Organizing Self-Boundaries by Stimulus Avoidance in Biological and Artificial Neural Networks., Artificial life, 2020, 26, 130-151, reviewed BibTeX
  72. 72. Sho Ito, Hiroaki Gomi, Visually-updated hand state estimates modulate the proprioceptive reflex independently of motor task requirements, 2020, open access: https://doi.org/10.7554/eLife.52380 BibTeX
  73. 73. Yuji Nagai, Naohisa Miyakawa, Hiroyuki Takuwa, Yukiko Hori, Kei Oyama, Bin Ji, Manami Takahashi, Xi-Ping Huang, Samuel T Slocum, Jeffrey F DiBerto, Yan Xiong, Takuya Urushihata, Toshiyuki Hirabayashi, Atsushi Fujimoto, Koki Mimura, Justin G English, Jing Liu, Ken-ichi Inoue, Katsushi Kumata, Chie Seki, Maiko Ono, Masafumi Shimojo, Ming-Rong Zhang, Yutaka Tomita, Jin Nakahara, Tetsuya Suhara, Masahiko Takada, Makoto Higuchi, Jian Jin, Bryan L Roth, Takafumi Minamimoto*, Deschloroclozapine, a potent and selective chemogenetic actuator enables rapid neuronal and behavioral modulations in mice and monkeys, Nature Neuroscience, 2020, 23, 1157-1167, reviewed, & BibTeX
  74. 74. Toshitake Asabuki and Tomoki Fukai, Somatodendritic consistency check for temporal feature segmentation, Nat Commun, 2020, 11, 1554, 1-13, reviewed# BibTeX
  75. 75. Toyoshima, Y., Wu, S., Kanamori, M., Sato, H., Jang, M.S., Oe, S., Murakami, Y., Teramoto, T., Park, C., Iwasaki, Y., Ishihara, T., Yoshida, R., *Iino, Y., Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans, BMC Biol, 2020, 18, 1, 30, reviewed BibTeX
  76. 76. Nishimoto T, Higashi H, Morioka H, *Ishii S, EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability, Journal of Neural Engineering, 2020, 17, 2, 26007, reviewed BibTeX
  77. 77. *Shinsuke Suzuki, John P. O’Doherty, Breaking human social decision making into multiple components and then putting them together again, Cortex, 2020, 127, 221-230, reviewed BibTeX
  78. 78. Takashi Hayakawa and Tomoki Fukai , Spontaneous and stimulus-induced coherent states of critically balanced neuronal networks, Phys. Rev. Research, 2020, 2, 013253, reviewed# BibTeX
  79. 79. *Kentaro Katahira, Yoshihiko Kunisato, Yuichi Yamashita, *Shinsuke Suzuki, Commentary: A robust data-driven approach identifies four personality types across four large data sets, Frontiers in Big Data, 2020, 3, 8, reviewed& BibTeX
  80. 80. *Katahira K, Kunisato Y, Yamashita Y, Suzuki S, Commentary: A robust data-driven approach identifies four personality types across four large data sets, Frontiers in Big Data, 2020, 3, 8, reviewed& BibTeX
  81. 81. *Lu X, Inoue K, Ohmae S, Uchida Y, New Cerebello-Cortical Pathway Involved in Higher-Order Oculomotor Control., Cerebellum, 2020, 19, 401-408, reviewed BibTeX
  82. 82. Tei S, Kauppi JP, Jankowski KF, Fujino J, Monti RP, Tohka J, Abe N, Murai T, *Takahashi H, Hari R., Brain and behavioral alterations in subjects with social anxiety dominated by empathic embarrassment, Proc Natl Acad Sci U S A, 2020, 117, 4385-4391, reviewed& BibTeX
  83. 83. *Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, Tetsunari Inamura, Improved and scalable online learning of spatial concepts and language models with mapping, Autonomous Robots, 44(6), pp.927-946, 2020., 2019, reviewed BibTeX
  84. 84. *Lehky SR, Phan AH, Cichocki A, Tanaka K, Face representations via tensorfaces of various complexities, Neural Computation, 2020, 32, 2, 281-329, reviewed BibTeX
  85. 85. *Hikida T,Morita M, Kuroiwa M, Macpherson T, Shuto T, Sotogaku N, Niwa M, Sawa A, Nishi A. *, Adolescent psychosocial stress enhances sensitization to cocaine exposure in genetically vulnerable mice., Neuroscience Research, 2020, 151, 38-45, reviewed# BibTeX
  86. 86. *Hikida T, Yao S, Macpherson T, Fukakusa A, Morita M, Kimura H, Hirai K, Ando T, Toyoshiba H, Sawa A., Nucleus accumbens pathways control cell-specific gene expression in the medial prefrontal cortex., Scientific Reports, 2020, 10, 1, 1838, reviewed# BibTeX
  87. 87. Lanillos P, Oliva D, Philippsen A, Yamashita Y, Nagai Y, *Cheng G, A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder, Neural Networks, 2020, 112, 338-363, reviewed& BibTeX
  88. 88. *Shirasuna, M., Honda, H., Matsuka, T., & Ueda, K., Familiarity-matching: an ecologically rational heuristic for the relationships-comparison task, Cognitive Science, 2019, 44, 4, e12806, reviewed BibTeX
  89. 89. *Tadahiro Taniguchi, Tomoaki Nakamura, Masahiro Suzuki, Ryo Kuniyasu, Kaede Hayashi, Akira Taniguchi, Takato Horii, Takayuki Nagai, Neuro-serket: development of integrative cognitive system through the composition of deep probabilistic generative models, New Generation Computing, 2019, 84, 23-48, reviewed& BibTeX
  90. 90. *Lana Sinapayen, Atsushi Masumori, Takashi Ikegami, Reactive, Proactive, and Inductive Agents: An Evolutionary Path for Biological and Artificial Spiking Networks, Frontiers in Computational Neuroscience, 2020, 13, -, reviewed BibTeX
  91. 91. Yuuki Tada, Yoshinobu Hagiwara, Hiroki Tanaka, *Tadahiro Taniguchi, Robust understanding of robot-directed speech commands using sequence to sequence with noise injection, Frontiers in Robotics and AI, 2020, 6, 144, 1-12, reviewed BibTeX
  92. 92. *Yohei Oseki, Alec Marantz, Modeling morphological processing in human magnetoencephalography, Proceedings of the Society for Computation in Linguistics (SCiL), 2020, Long Paper, 209-219, reviewed& BibTeX
  93. 93. Makino Y, Polygalov D, Bolaños F, Benucci A, *McHugh T.J., Physiological Signature of Memory Age in the Prefrontal-Hippocampal Circuit, Cell Rep., 2019, 29, 12, 3835-3846.e5, reviewed BibTeX
  94. 94. Kikuta S, Iguchi Y, Kakizaki T, Kobayashi K, Yanagawa Y, Takada M, Osanai M., Store-operated calcium channels are involved in spontaneous slow calcium oscillations in striatal neurons, Frontiers in Cellular Neuroscience-Cellular Neurophysiology, 2019, 13, 547, 9-Jan, reviewed BibTeX
  95. 95. Li G, Hashimoto T, Konno T, Okuda J, Samejima K, Fujiwara M, Morita J, The Mirroring of Symbols: An EEG Study on the Role of Mirroring in the Formation of Symbolic Communication Systems, Letters on Evolutionary Behavioral Science, 2019, 10, 2, 7-10, reviewed& BibTeX
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  97. 97. *Yuma Kajihara, Takashi Ikegami and Kenji Doya, Model-based empowerment computation for dynamical agents, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019, 1, 255-261, reviewed BibTeX
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  12. 12. *Sato M, Mizuta K, Islam T, Kawano M, Sekine Y, Takekawa T, Gomez-Dominguez D, Schmidt A, Wolf F, Kim K,Yamakawa H, Ohkura M, Lee M.G, Fukai T, Nakai J, *Hayashi Y, Distinct mechanisms of over-representation of landmarks and rewards in the hippocampus., Cell Reports, 2020, 32, 107864, reviewed BibTeX
  13. 13. 三村喬生, 松村杏子, 松村優哉, 関家友子, R によるテキスト分析入門, 情報の科学と技術, 2020, 70, 4, 181-186, invited BibTeX
  14. 14. Asabuki T, *Fukai T, Somatodendritic consistency check for temporal feature segmentation., Nature Communications, 2020, 11, 1554, reviewed BibTeX
  15. 15. 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, ブレインサイエンス・レビュー, 2020, 77-101 BibTeX
  16. 16. *Hayakawa T, Fukai T, Spontaneous and stimulus-induced coherent states of critically balanced neuronal networks., Physical Review Research, 2020, 2, 13253, reviewed BibTeX
  17. 17. *田中啓治, 将棋棋士の直観, Clinical Neuroscience, 2020, 38, 165-168, invited BibTeX
  18. 18. 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
  19. 19. 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
  20. 20. 高橋英彦, 山下祐一, *銅谷賢治, AIと脳神経科学―精神神経疾患へのデータ駆動と理論 駆動のアプローチ, Clinical Neuroscience, 2020, 38, 1358-1363, invited & BibTeX
  21. 21. *高橋英彦, 意思決定障害としての精神疾患, Clinical Neuroscience, 2020, 印刷中, invited & BibTeX
  22. 22. 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, 情報処理学会論文誌 数理モデル化と応用, 2019, 12, 3, 68-77, reviewed& BibTeX
  23. 23. *田中啓治, 行動認知制御の神経科学:前頭前野内の機能分化, Brain and Nerve, 2019, 71, 12, 1375-1371, invited BibTeX
  24. 24. 奥村 直裕,*庄野 逸, TV正則化と辞書学習を用いたOS-EM法におけるPET画像再構成, 2019, 37, 5, 217-229, reviewed& BibTeX
  25. 25. *庄野 逸, AIの歴史とこれから, 臨床画像, 2019, 35, 10, 1112-1119, invited& BibTeX
  26. 26. *疋田貴俊, 大脳基底核神経回路における腹側淡蒼球の役割解析, 日本生物学的精神医学会誌, 2019, 30, 3, 105-107, invited# BibTeX
  27. 27. *Haga T, *Fukai T, Extended temporal association memory by modulations of inhibitory circuits., Physical Review Letters, 2019, 123, 78101, reviewed BibTeX
  28. 28. 川島 貴大,*庄野 逸, ベイズ的変数選択に基づく分光スペクトル分解, 情報処理学会論文誌 数理モデル化と応用, 2019, 12, 2, 34-43, reviewed& BibTeX
  29. 29. *銅谷賢治、松尾豊, 人工知能と脳科学の現在とこれから, BRAIN and NERVE 増大特集 人工知能と神経科学, 2019, 71(7), 649-655, & BibTeX
  30. 30. *沖村 宰、片平健太郎、国里愛彦、山下祐一, 統合失調症のコンピュータシミュレーション, Brain and Nerve, 2019, 71, 771-783, invited& BibTeX
  31. 31. *Watanabe K, Haga T, Tatsuno M, Euston D.R, *Fukai T, Unsupervised detection of cell-assembly sequences by similarity-based clustering., Frontiers in Neuroinformatics, 2019, 13, 39, reviewed BibTeX
  32. 32. *久保静真, 岩澤有祐, 鈴木雅大, 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, 情報処理学会論文誌, 2019, 60, 3, 870-879, reviewed BibTeX
  33. 33. *久保 孝富, 幾谷 吉晴, 人の知性を司る脳,その模倣としての機械学習, システム/制御/情報, 2019, 63, 3, 124-129, reviewed BibTeX
  34. 34. *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, 生物学的精神医学誌, 2019, 30, 3, 114-116, invited& BibTeX
  35. 35. *国里 愛彦, 片平健太郎, 沖村 宰, 山下 祐一, うつに対する計算論的アプローチ ―強化学習モデルの観点から―, Japanese Psychological Review, 2019, 62, 88-103, reviewed& BibTeX
  36. 36. *鈴木雅大, 松尾豊, 深層生成モデルを用いた半教師ありマルチモーダル学習, 情報処理学会論文誌, 2018, 59, 12, 2261 – 2278, reviewed BibTeX
  37. 37. *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, 日本薬理学雑誌, 2018, 152, 6, 295-298, invited BibTeX
  38. 38. 片平 健太郎*、山下 祐一, 計算論的アプローチによる精神医学の研究方略および疾病分類の評価, 精神医学, 2018, 1309, reviewed& BibTeX
  39. 39. 栁澤琢史, Q and A 神経科学の素朴な疑問、脳の力で機械は動かせますか?, Clinical Neuroscience, 2018, 36, 2, 262-263, invited BibTeX
  40. 40. 栁澤琢史, 慢性疼痛を脳から治す、-Brain –Machine Interface(BMI)による幻肢痛治療, Clinician, 2018, 65, 668, 67-75, invited BibTeX
  41. 41. 深井朋樹, 脳回路研究とAIの融合に向けて, ファルマシア, 2018, 54, 9, 867-869 BibTeX
  42. 42. 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
  43. 43. 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, in press, reviewed,invited& BibTeX
  44. 44. 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
  45. 45. *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
  46. 46. 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
  47. 47. 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
  48. 48. 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
  49. 49. 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
  50. 50. *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
  51. 51. 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
  52. 52. 栁澤琢史, 幻肢痛をBMIで治す, Clinical Neuroscience, 2017, 35, 1, 356-7, invited BibTeX
  53. 53. *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
  54. 54. 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
  55. 55. 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
  56. 56. 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
  57. 57. 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
  58. 58. *疋田貴俊、森田真規子、Tom Macpherson, 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
  59. 59. 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
  60. 60. So Fujimoto, Yutaka Komura*, The map of auditory function, Brain and Nerve, 2017, 69, 471-478, & BibTeX
  61. 61. *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
  62. 62. 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
  63. 63. *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
  64. 64. *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”, 2018, 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. BibTeX
  10. 10. *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
  11. 11. *Mimura K, Unsupervised temporal segmentation of marmoset goal-directed behavior, 10th International Symposium on Biology of Decision-Making, 2021, Paris, invited / oral BibTeX
  12. 12. *Haruo Hosoya, CIGMO: Learning categorical invariant deep generative models from grouped data, ICLR Workshop on Weakly Supervised Learning, 2021, online, reviewed poster BibTeX
  13. 13. *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
  14. 14. *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
  15. 15. 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
  16. 16. Takashi Ikegami, Offloaded Mind: the experiments of dyadic humanoid/human interaction, 2021 International Workshop on Embodied Intelligence, 2021, online, keynote BibTeX
  17. 17. *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
  18. 18. 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), 2020, online, Poster BibTeX
  19. 19. *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
  20. 20. 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
  21. 21. Doya, Kenji, Neural circuit for mental simulation, China-Japan Expert Symposium on Brain Science, 2020, online, invited BibTeX
  22. 22. *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
  23. 23. 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
  24. 24. 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
  25. 25. 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
  26. 26. Yohei Oseki, Towards computational cognitive neuroscience of language, What is the role of next generation of cognitive robotics?, 2020, Zoom, Online, invited BibTeX
  27. 27. *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
  28. 28. 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
  29. 29. 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
  30. 30. *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
  31. 31. 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
  32. 32. 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
  33. 33. 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
  34. 34. 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
  35. 35. 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
  36. 36. Doya, Kenji, Communication and Self-organization of Intelligent Agents, NOLTA 2020, 2020, online, invited BibTeX
  37. 37. 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
  38. 38. 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
  39. 39. 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
  40. 40. Uchibe E, Latent brain dynamics estimation and deep generative imitation learning, 31st U.S.-Japan Technology Forum, 2020, online, oral, invited BibTeX
  41. 41. 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
  42. 42. Hidehiko Takahashi, Interface between AI and schizophrenia research, International Symposium on Artificial Intelligence and Brain Science, 2020, Tokyo, Japan, invited BibTeX
  43. 43. 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
  44. 44. *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
  45. 45. 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
  46. 46. 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
  47. 47. 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
  48. 48. 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
  49. 49. 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
  50. 50. *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
  51. 51. 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
  52. 52. Doya, Kenji, What can we further learn from the brain for artificial intelligence?, Neurotheory Forum, 2020, online, invited BibTeX
  53. 53. Doya, Kenji, How to let robots learn, develop, communicate and evolve, Latin American Summer School on Cognitive Robotics (LACORO), 2020, online, invited BibTeX
  54. 54. 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
  55. 55. *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
  56. 56. *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
  57. 57. 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
  58. 58. Komatsu M, Hierarchical predictions in the marmoset cerebral cortex, the 43th Annual Meeting of the Japan Neuroscience Society, 2020, Online, symposium BibTeX
  59. 59. *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, 2020, 神戸, psoter BibTeX
  60. 60. Doya, Kenji, What can we further learn from the brain for artificial intelligence, Neuroscience2020, 2020, online, invited BibTeX
  61. 61. 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
  62. 62. 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
  63. 63. *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
  64. 64. 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
  65. 65. 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
  66. 66. 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
  67. 67. 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
  68. 68. *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
  69. 69. 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
  70. 70. *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
  71. 71. *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
  72. 72. *Koji Ishihara, Jun Morimoto, MPC for fumanoid control, Robotics: Science and Systems (RSS2020)Workshop (2020/7/12-16), 2020, Online, reviewed BibTeX
  73. 73. 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
  74. 74. Doya K, How Can the Brain Connect Predictors and Actors on the Fly?, Workshop on Learning for flexible, context-sensitive behavior, 2019, 2020/3/12-3/13, Bielfeld, GERMANY, invited BibTeX
  75. 75. *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
  76. 76. *Tatsuya Haga, Tomoki Fukai, Multiscale associative memory recall by modulation of inhibitory circuits, Computational and Systems Neuroscience (Cosyne) 2020, 2020, Denver, USA, poster BibTeX
  77. 77. *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
  78. 78. 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
  79. 79. 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
  80. 80. Doya K, What can we further learn from the brain for artificial intelligence?, The 20th winter workshop Mechanism of Brain and Mind, 2019, 2020/1/8-1/10, Rusutsu, HOKKAIDO, invited BibTeX
  81. 81. Tomoki Fukai, Cognition through neural circuit dynamics, Toyama Forum for Academic Summit on “Dynamic Brain”, 2019, Toyama, Japan, oral, invited BibTeX
  82. 82. 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
  83. 83. 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
  84. 84. 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
  85. 85. *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
  86. 86. *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
  87. 87. *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
  88. 88. 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
  89. 89. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, Personalized Value: Interdisciplinary Approach, 2019, Kyoto, Japan, invited BibTeX
  90. 90. Morioka H, Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning, Brainstorming on Primate Connectome 2019, 2019, Invited, oral BibTeX
  91. 91. *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
  92. 92. Doya K, Patience, Confidence and Serotonin, Blue Brain Seminar, 2019, Genova, ITARY, invited BibTeX
  93. 93. 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
  94. 94. 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
  95. 95. *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
  96. 96. Doya K, Systems Biology of Reinforcement Learning, International Conference on Systems Biology (ICSB 2019), 2019, 2019/11/1-11/5, OIST, Plenary speaker BibTeX
  97. 97. 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
  98. 98. 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
  99. 99. 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
  100. 100. *Tatsuya Haga, Tomoki Fukai, Extended associative memory by inhibitory modulation, Neuroscience 2019 (SfN’s 49th annual meeting), 2019, Chicago, USA, poster BibTeX
  101. 101. *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
  102. 102. 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
  103. 103. 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
  104. 104. *Abekawa N, Gomi H, Learning and retrieving motor memories depending on gaze-reach coordination., Neuroscience2019. (SfN2019)., 2019, Chicago, poster BibTeX
  105. 105. *Gomi H, Nakamura D, Synthetic modeling of human visual motion analysis for generating quick ocular and manual responses., Neuroscience2019. (SfN2019)., 2019, Chicago, poster BibTeX
  106. 106. *Ito S, Gomi H, Online modulation of proprioceptive reflex gain depending on uncertainty in multisensory state estimation., Neuroscience2019. (SfN2019)., 2019, Chicago, poster BibTeX
  107. 107. *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
  108. 108. 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
  109. 109. 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
  110. 110. 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
  111. 111. 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
  112. 112. *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
  113. 113. *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
  114. 114. *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
  115. 115. Yohei Oseki, Construction and evaluation of neurocomputational models of natural language, Theory towards Brains, Machines and Minds, 2019, Saitama, Japan, invited BibTeX
  116. 116. 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
  117. 117. 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
  118. 118. 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
  119. 119. *Hirayama J, Interpretable multivariate analysis of individual variability in whole-brain functional connectivity, International Workshop on Neurotechnology & AI, 2019, 東京, invited BibTeX
  120. 120. *Masayuki Matsumoto, The diversity of dopamine signals in macaque monkeys, German Physiological Society, 2019, Ulm, Germany, invited BibTeX
  121. 121. 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
  122. 122. *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
  123. 123. *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
  124. 124. *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
  125. 125. Takashi Ikegami, Offloaded Agency, SIGEF, 2019, 東京, invited BibTeX
  126. 126. *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
  127. 127. *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
  128. 128. 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
  129. 129. Doya K, Neural circuits for mental simulation, International Conference on Cognitive Science (ICCS2019), 2019, 2019/8/22-8/24, Seuol, KOREA, invited BibTeX
  130. 130. 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
  131. 131. 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
  132. 132. 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
  133. 133. 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
  134. 134. 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
  135. 135. 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
  136. 136. 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
  137. 137. 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
  138. 138. 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
  139. 139. 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
  140. 140. 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
  141. 141. 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
  142. 142. *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
  143. 143. 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
  144. 144. Doya K, Neural Circuits for Mental Simulation, CNS*2019, 28th Annual Computational Neuroscience Meeting, 2019, 2019/7/13-7/16, Barcelona, SPAIN, invited BibTeX
  145. 145. *Waggoner RA, Object recognition in inferotemporal cortex: from visual features to semantics, fMRI Studies of Cortical Columns in Humans, 2019, invited oral BibTeX
  146. 146. 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
  147. 147. 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
  148. 148. 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
  149. 149. 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
  150. 150. 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
  151. 151. *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
  152. 152. Hidehiko Takahashi, Neuroimaging of gambling disorder, International Conference on Behavioral Addictions, 2019, Yokohama, Japan, invited BibTeX
  153. 153. *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
  154. 154. Tomoki Fukai, Temporal feature analysis in brain-inspired neural systems, Silicon Nanoelectronics Workshop 2019, 2019, Kyoto, Japan, oral, invited BibTeX
  155. 155. 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
  156. 156. 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
  157. 157. *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
  158. 158. 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
  159. 159. *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
  160. 160. *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
  161. 161. *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
  162. 162. 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
  163. 163. *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
  164. 164. *Benucci A., Stability and Plasticity of Visual Representations in the Mouse Cortex, Brain Networks Workshop, 2019, Pohang, Korea, Invited talk BibTeX
  165. 165. *Abekawa N, Gomi H, Multiple motor memories depending on foveal and peripheral reaching., Neural Control of Movement 2019. (NCM2019), 2019, Toyama, poster BibTeX
  166. 166. *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
  167. 167. 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
  168. 168. *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
  169. 169. *Gomi H, Predictive setup of implicit sensorimotor processing according to tasks and environments, Neural Control of Movement 2019. (NCM2019), 2019, Toyama, oral BibTeX
  170. 170. 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
  171. 171. *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
  172. 172. *Jun Morimoto, Motor learning algorithms, Skolkovo Robotics 2019, 2019, Moscow, Russia, invited, Keynote BibTeX
  173. 173. *Yamashita Y, Computational psychiatry: understanding neuropsychiatric disorders using computational modeling, 2019 Annual Meeting of Korea NeuroPsychiatric Association(KNPA), 2019, Seoul, Korea, plenary BibTeX
  174. 174. 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
  175. 175. 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
  176. 176. 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
  177. 177. *Uchibe E, Imitation learning under entropy regularization, Reinforcement Learning & Biological Intelligence, 2019, Tokyo, Japan, oral, invited BibTeX
  178. 178. Doya K, Patience and beyond, COSYNE 2019 Workshop -Advances and Convergences in 5-HT Research, 2018, 2019/3/4-2019/3/5, Lisbon, Portugal, invited BibTeX
  179. 179. 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
  180. 180. Doya K, Neural circuit for mental simulation, Computational and Systems Neuroscience 2019 (COSYNE2019), 2018, 2019/2/28-2019/3/2, Lisbon, Portugal, invited BibTeX
  181. 181. 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
  182. 182. 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
  183. 183. *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
  184. 184. *Benucci A., Local and global contribution to hemodynamic activity in the mouse cortex, Neurovascular Unit Workshop, 2019, Tokyo, Invited talk BibTeX
  185. 185. Hidehiko Takahashi, Neuroimaging of gambling disorder, The 2nd International Behavioral Addiction Forum, 2019, Yokohama, Japan, Keynote BibTeX
  186. 186. 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
  187. 187. *Hikida T, Macpherson T, Mizoguchi H, Yamanaka A., 57th Annual Meeting of the American College of Neuropsychopharmacology, 2018, poster BibTeX
  188. 188. 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
  189. 189. 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
  190. 190. *Tanaka K, Coding of faces by tensor components, Neural substrates of intuition in shogi and soccer experts, 2018, invited lecture BibTeX
  191. 191. *Tanaka K, Energization of cognitive modes by the medial prefrontal cortex (area 9m) in Wisconsin Card Sorting Test (WCST), 2018, invited plenary lecture BibTeX
  192. 192. *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
  193. 193. Wataru Shimoda*, Atsushi Narusawa, and Keiji Yanai, Font Style Transfer Using Deep Neural Networks, International Display Workshop (IDW), 2018, Nagoya, Japan, invited BibTeX
  194. 194. 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
  195. 195. Asato Matsumoto* and Keiji Yanai, Continual Learning for an Encoder-Decoder CNN Using “Piggyback”, NIPS2018 Continual Learning Workshop, 2018, Montreal, Canada, reviewed BibTeX
  196. 196. 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
  197. 197. 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
  198. 198. 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
  199. 199. Tomoki Fukai, Cortical network models from small scales to large scales for cognition, Orchestrating Networks, 2018, Juelich, Germany, oral, invited BibTeX
  200. 200. Tomoki Fukai, Exploring a bridge between the brain and AI, Global Leaders Forum 2018, 2018, Seoul, Korea, oral, invited BibTeX
  201. 201. 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
  202. 202. 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
  203. 203. 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
  204. 204. 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
  205. 205. Kiyohiko Nakamura, Misako Komatsu, Neural mechanism for information seeking in monkey prefrontal cortex, Neuroscience 2018, 2018, Sun Diego, USA, poster BibTeX
  206. 206. *Toshitake Asabuki, Tomoki Fukai, Analysis of complex temporal information streams by dendritic neuron model, Neuroscience 2018 (SfN’s 48th annual meeting), 2018, San Diego, USA, poster BibTeX
  207. 207. *Tatuya Haga, Tomoki Fukai, Learning efficient search for reward by CA3 recurrent network model, Neuroscience 2018 (SfN’s 48th annual meeting), 2018, San Diego, USA, poster BibTeX
  208. 208. *Abekawa N, Gomi H, Different eye-hand coordination forms distinct motor memories in visuomotor adaptation, Neuroscience2018. (SfN2018)., 2018, San Diego, poster BibTeX
  209. 209. *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
  210. 210. 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
  211. 211. 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
  212. 212. 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
  213. 213. Takaaki Kaneko, Misako Komatsu, Noritaka Ichinohe, Hideyuki Okano, Neural dynamics of recurrent active vision, Neuroscience 2018, 2018, Sun Diego, USA, poster BibTeX
  214. 214. 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
  215. 215. *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
  216. 216. 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
  217. 217. 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
  218. 218. *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
  219. 219. 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
  220. 220. Tomoki Fukai, Unsupervised learning of information streams in networks of dendritic neurons, Champalimaud Research Symposium 2018, 2018, Lisbon, Portugal, oral, invited BibTeX
  221. 221. *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
  222. 222. *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
  223. 223. *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
  224. 224. *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
  225. 225. *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
  226. 226. *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
  227. 227. *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
  228. 228. *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
  229. 229. *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
  230. 230. 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
  231. 231. Tomoki Fukai, 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
  232. 232. *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
  233. 233. *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
  234. 234. 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
  235. 235. Ryosuke Tanno*, Daichi Horita, Wataru Shimoda and Keiji Yanai, Magical Rice Bowl: Real-time Food Category Changer, ACM Multimedia, 2018, Seoul, Korea, reviewed BibTeX
  236. 236. Inoue K, Manipulation of primate neural networks by means of modified viral vectors, International Conference “Viral Manipuration in Monkey”, 2018, Paris, France, invited BibTeX
  237. 237. 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
  238. 238. 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
  239. 239. *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
  240. 240. *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
  241. 241. *Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo, Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder, Interspeech, 2018, 2018, Hyderabad, India, reviewed BibTeX
  242. 242. *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
  243. 243. *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
  244. 244. *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
  245. 245. 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
  246. 246. 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
  247. 247. 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
  248. 248. 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
  249. 249. *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
  250. 250. 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
  251. 251. *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
  252. 252. *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
  253. 253. *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
  254. 254. 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
  255. 255. Hayakawa T, Fukai T, The mean-field theory of dynamically balanced neuronal networks, 27th Annual Computational Neuroscience Meeting (CNS 2018), 2018, Seattle, USA BibTeX
  256. 256. 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
  257. 257. Hidehiko Takahashi, Development of theranostic biomarkers for schizophrenia, Pan-Asia Symposium on the Genetics of Brain Disorders, 2018, Shanghai, China, invited BibTeX
  258. 258. 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
  259. 259. 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
  260. 260. 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
  261. 261. 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
  262. 262. 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
  263. 263. 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
  264. 264. *Waggoner RA, Ueno K, Kuribayshi H, Tanaka K, In-Plane Signal Leakage (L- factor) Maps from TGRAPPA, 2018, reviewed poster BibTeX
  265. 265. 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
  266. 266. Tadahiro Taniguchi, Symbol Emergence in Robotics Towards Unsupervised Language Acquisition by Robots, Doing Digital Methods: Interdisciplinary Interventions, 2018, Kyoto, Japan, invited BibTeX
  267. 267. 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
  268. 268. 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
  269. 269. *Shinsuke Suzuki, Food value computation in the human orbitofrontal cortex, Eighth International Symposium on Biology of Decision Making, 2018, Paris, Franc, invited BibTeX
  270. 270. *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
  271. 271. *Waggoner RA, MR Physics Demands of High-Resolution fMRI, 2018, invited oral BibTeX
  272. 272. Doya K, Neural circuits for reinforcement learning and mental simulation, Canonical Computaiton in Brains and Machines Symposium, 2017, 2018.3.18, New York University, USA, oral BibTeX
  273. 273. Doya K, Neural circuits for reinforcement learning and mental simulation, Seminar, 2017, 2018.3.19, Cold Spring Harbor Laboratory, USA, seminar BibTeX
  274. 274. 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
  275. 275. *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, 2017, 2018.3.15, Four Points Sheraton/Holiday Inn Express, Ventura, CA, US, Poster BibTeX
  276. 276. Doya K, How does the brain wire up itself on the fly?, Seminar, 2017, 2018.3.14, Institute for Advanced Study, Princeton, USA, invited BibTeX
  277. 277. Doya K, Neural Circuit for Mental Simulation, The Neuroscience and Social Decision Making Talk Series, 2017, Princeton Neuroscience Institute, USA, Seminar BibTeX
  278. 278. Doya K, Imaging the neural circuit for mental simulation, COSYNE 2018 Workshop Session: Concepts, attention, and consciousness in (reinforcement) learning, 2017, 2018.3.5, Denver City, USA, oral BibTeX
  279. 279. *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
  280. 280. Hamasaki Y, Nakayama T, Hikida T, Childhood subclinical characteristics in schizophrenia – toward the early screening for the risk of schizophrenia, EPA 2018, 2018 BibTeX
  281. 281. 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
  282. 282. 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
  283. 283. Fung C.C, Fukai T, Discrete-attractor-like motion in continuous-attractor neural field models, Computational and Systems Neuroscience (Cosyne) 2018, 2018, Denver, USA BibTeX
  284. 284. Fukai T, Information transfer during slow oscillations in cortical networks, The 4th CiNet Conference, 2018, Osaka, Japan, invited BibTeX
  285. 285. 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
  286. 286. *Shinsuke Suzuki, Value computation in the human brain: its basis and contagious nature, Neuroeconomics Seminar, 2018, Zurich, Switzerland, invited BibTeX
  287. 287. *Hiroaki Shioya, Yutaka Matsuo, Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity, International Conference of Learning Representation, 2018, Vancouver,Canada, reviewed BibTeX
  288. 288. Fukai T, Reservoir computing for chunking and decision-making, Colloquium at Laboratoire de Neurosciences Cognitives, 2018, Paris, France, invited BibTeX
  289. 289. *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
  290. 290. 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
  291. 291. Fukai T, Dendritic canonical correlation analysis for memory and sensory information processing., Dendritic integration and computation with active dendrites, 2018, Paris, France, invited BibTeX
  292. 292. 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
  293. 293. *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
  294. 294. Doya K, Neural circuits for reinforcement learning and mental simulation, Brain and AI Symposium Korea, 2017, 2018.1.30, Gold Hall and Ruby Hall, WellyHilly park, South Korea, invited BibTeX
  295. 295. *Jun Morimoto, Learning assistive strategies for BMI exoskeleton robots, 2018 Brain and AI Symposium (2018/1/30-31), 2018, Kangwon Province, Korea, invited BibTeX
  296. 296. 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
  297. 297. Masamichi Sakagami, Multiple Neural Circuits In Value-based Decision Making, Brain Engineering Society of Korea(BESK) Brain AI Symposium, 2018, Kangwon, Korea, invited BibTeX
  298. 298. Doya K, What should we further learn from the brain?, Joint Workshop of Krean AI flagship Project and Japanese AI and Brain Scinece Project, 2017, 2018.1.29, WellyHilly park, South Korea, oral BibTeX
  299. 299. 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
  300. 300. 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
  301. 301. *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
  302. 302. Macpherson T, *Hikida T, Dopamine D2L receptors control flexible behavior., OU-ANU 2nd joint symposium Protein Structure and Function, 2017, poster BibTeX
  303. 303. 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
  304. 304. Tadahiro Taniguchi, Symbol Emergence in Robotics:from sensorimotor information to language, Neurobiology and Neuroinformatics 2017 (NBNI2017), 2017, Wako, Japan, invited BibTeX
  305. 305. Fukai T, Unsupervised reservoir computing for chunking sequence information., NBNI 2017, 2017, Wako, Japan BibTeX
  306. 306. 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
  307. 307. *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
  308. 308. *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
  309. 309. *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
  310. 310. *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
  311. 311. 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
  312. 312. 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
  313. 313. *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
  314. 314. *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
  315. 315. 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
  316. 316. *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
  317. 317. 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
  318. 318. 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
  319. 319. *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
  320. 320. 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
  321. 321. 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
  322. 322. 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
  323. 323. Misako Komatsu, Noritaka Ichinohe, An anesthetic dose of ketamine disrupts mismatch activity in common marmosets, Neuroscience 2017, 2017, Washingtom, USA, poster BibTeX
  324. 324. 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
  325. 325. 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
  326. 326. 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
  327. 327. 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
  328. 328. 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
  329. 329. 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 BibTeX
  330. 330. 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
  331. 331. *Lehky SR, Phan A, Cichocki A, Tanaka K, Coding of faces by tensor components, 2017, poster BibTeX
  332. 332. 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
  333. 333. 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
  334. 334. 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
  335. 335. 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
  336. 336. 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
  337. 337. 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
  338. 338. Macpherson T, *Hikida T, Nucleus Accumbens D1 receptor expressing neurons control autoshaping behavior, Neuroscience 2017, 2017, poster BibTeX
  339. 339. *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
  340. 340. Inoue K, Pathway-selective optogenetics for elucidating neural network function in primates., Neuroscience 2017, 2017, Washington, DC, USA, invited BibTeX
  341. 341. *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
  342. 342. 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
  343. 343. 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
  344. 344. *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
  345. 345. 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
  346. 346. Takumi Ege*, Keiji Yanai, Estimating food calories for multiple-dish food photos, Asian Conference on Pattern Recognition (ACPR), 2017, Nanjing, China, reviewed# BibTeX
  347. 347. *Hikida T, Neuronal circuit mechanisms in reward and aversive behavior., Taiwan-Japan Biomedicine Conference NTHU-OU bilateral symposium 2017, 2017, invited BibTeX
  348. 348. *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
  349. 349. *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
  350. 350. *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
  351. 351. Tadahiro Taniguchi, Symbol Emergence in Robotics:Representation Learning for Real-world Communication and Collaboration, International Field Robotics Forum 2017, 2017, Seoul, Korea, keynote BibTeX
  352. 352. 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
  353. 353. *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
  354. 354. Doya K, Artificial Intelligence and Brain Science, Seminar, 2017, 2017.10.19, Kyungpook National University, Daegu, Korea, seminar BibTeX
  355. 355. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, 2017, Sapporo, invited BibTeX
  356. 356. Takanori Uka, Neural mechanism of flexible sensory decision making, The 12th Biennial Conference of Chinese Neuroscience Society, 2017, Tianjin, CHINA, invited BibTeX
  357. 357. *Uchibe E, Deep inverse reinforcement learning, 3rd International Workshop on Intrinsically Motivated Open-ended learning, 2017, Rome, Italy, oral, invited BibTeX
  358. 358. 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
  359. 359. *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
  360. 360. 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
  361. 361. Ikegami, T, THE FUTURE OF AI IN THE ARTS , Japan Foundation Sydeny, 2017, Sydney, Australia, invited BibTeX
  362. 362. Takufumi Yanagisawa, BMI robotic hand controls phantom limb pain, Yamada Symposium 2017 on neuroimaging of natural behaviors, 2017, Ookayama, Japan, invited BibTeX
  363. 363. 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
  364. 364. 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
  365. 365. *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
  366. 366. 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
  367. 367. 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
  368. 368. 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
  369. 369. Hayakawa T, Fukai T, Interplay of microscopic and macroscopic dynamics in randomly connected neuronal networks. , Bernstein Conference 2017, 2017, Goettingen, Germany BibTeX
  370. 370. Inoue K, Pathway-selective manipulation of neural circuits, NIMH Workshop “Neural Circuits: Gaps and Opportunities”, 2017, Bethesda, USA, invited BibTeX
  371. 371. *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
  372. 372. *Hiroki Kojima,Takashi Ikegami, VAEGAN as a New Perception Model, ECAL, Late-Breaking, 2017, Lyon, France, reviewed BibTeX
  373. 373. *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
  374. 374. *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
  375. 375. *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
  376. 376. *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
  377. 377. Akihiko Nikkuni, Yutaka Komura*, Self-evaluation in vision in monkeys and humans, ICCS, 2017, Taipei, Taiwan, invited BibTeX
  378. 378. 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
  379. 379. 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
  380. 380. Ikegami, T, Passive Touch, Stimulus Avoidance, and the Android “Alter”, International Society for Theoretical Psychology (2017/8/21-25), 2017, Tokyo, Japan, invited BibTeX
  381. 381. 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
  382. 382. 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
  383. 383. 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
  384. 384. 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
  385. 385. 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
  386. 386. Doya K, Neural coding, brain imaging and information extraction by circuit modeling, Neuroscience 2017 Sattelite Symposium / CREST Symposium, 2017, invited BibTeX
  387. 387. 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
  388. 388. 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
  389. 389. 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
  390. 390. 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
  391. 391. 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
  392. 392. 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
  393. 393. 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
  394. 394. 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
  395. 395. *Tanaka K, Object recognition in inferotemporal cortex: from visual features to semantics, 2017, invited plenary lecture BibTeX
  396. 396. *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
  397. 397. *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
  398. 398. Doya K, What should we further learn from the brain?, Brain-AI Workshop, 2017, 2017.7.7, NYU Shanghai, Shanghai, China, invited BibTeX
  399. 399. *Nakahara H, Learning to make reward-guided decisions: sequential, successive, and social, 2017 Brain-AI Workshop, 2017, Shanghai, China, oral, invited BibTeX
  400. 400. 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
  401. 401. *Tanaka K, Object recognition in inferotemporal cortex: from visual features to semantics, 2017, invited plenary lecture BibTeX
  402. 402. *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
  403. 403. *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
  404. 404. 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
  405. 405. 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
  406. 406. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control incentive salience to reward-predictive cues., IBNS2017, 2017, invited BibTeX
  407. 407. *Hikida T, Morita M, Macpherson T, D2L receptor-expressing striatal neurons control visual discrimination learning in a touchscreen operant system., IBNS2017, 2017, oral BibTeX
  408. 408. 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
  409. 409. 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
  410. 410. 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
  411. 411. *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
  412. 412. 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
  413. 413. *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
  414. 414. 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
  415. 415. Keiji Yanai*, Ryosuke Tanno, Conditional fast style transfer network, ACM International Conference on Multimedia Retrieval (ICMR), 2017, Bucharest, Romania, reviewed BibTeX
  416. 416. *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
  417. 417. Mimura K, Nakagaki K, *Ichinohe N, Distrbed Vocal Communication in Common Marmoset Family with an Autism-Model Child, 2017, St. Petersburg, Russia, invited BibTeX
  418. 418. *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
  419. 419. 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
  420. 420. 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
  421. 421. *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
  422. 422. Hidehiko Takahashi, The interface between AI and psychiatry (schizophrenia) research, Gatsby-Kaken Joint Workshop on AI and Neuroscience, 2017, London, UK, invited BibTeX
  423. 423. 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
  424. 424. *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
  425. 425. *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
  426. 426. 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
  427. 427. 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
  428. 428. J. Chikazoe, Integrated Taste Type Representations in Human Insula, 2017 Yonsei Univ-Korea Univ-NIPS Symposium, 2017, Seoul, oral BibTeX
  429. 429. 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
  430. 430. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, Naito Coference, 2017, Sapporo, Japan, invited BibTeX
  431. 431. 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
  432. 432. 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
  433. 433. 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
  434. 434. 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
  435. 435. *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
  436. 436. 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
  437. 437. *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
  438. 438. *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
  439. 439. 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
  440. 440. 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
  441. 441. *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
  442. 442. 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
  443. 443. 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
  444. 444. *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
  445. 445. 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
  446. 446. 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
  447. 447. 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
  448. 448. *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
  449. 449. 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
  450. 450. 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
  451. 451. 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
  452. 452. 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
  453. 453. 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
  454. 454. 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
  455. 455. *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
  456. 456. *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
  457. 457. 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
  458. 458. *Tanaka K, Brain Mechanisms of intuitive problem solving in experts, 2016, Invited symposium BibTeX
  459. 459. 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
  460. 460. M. Sakagami, Signal Interaction between Primate Prefrontal Cortex and Striatum in Asymmetric Reward Task , The third Conference on Cognitive Neurodynamics , 2016, China, invited BibTeX
  461. 461. 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
  462. 462. 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
  463. 463. 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
  464. 464. 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
  465. 465. 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
  466. 466. *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. *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
  2. 2. *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
  3. 3. 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
  4. 4. *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
  5. 5. *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
  6. 6. 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
  7. 7. 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
  8. 8. 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
  9. 9. 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
  10. 10. 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
  11. 11. 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
  12. 12. 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
  13. 13. *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. JNNS; 2020. p. 86–7., 2020 BibTeX
  14. 14. Samejima K, Striatal neural dynamics during cognitive choice, 日本神経回路学会大会, 2020 BibTeX
  15. 15. 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
  16. 16. 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
  17. 17. 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
  18. 18. 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
  19. 19. 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
  20. 20. 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
  21. 21. 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
  22. 22. 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
  23. 23. *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
  24. 24. 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
  25. 25. 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
  26. 26. *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
  27. 27. *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
  28. 28. 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
  29. 29. *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
  30. 30. *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
  31. 31. *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
  32. 32. *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
  33. 33. 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
  34. 34. *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
  35. 35. *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
  36. 36. *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
  37. 37. *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
  38. 38. 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
  39. 39. 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
  40. 40. *Uchibe E, Parallel reward and punishment learning under entropy regularization, 第29回日本神経回路学会全国大会 (JNNS 2019), 2019 BibTeX
  41. 41. 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
  42. 42. 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, 2021 BibTeX
  43. 43. 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
  44. 44. 髙橋 英彦, 精神科臨床からシナプス機能を考える, NPBPPP2020, 2020 BibTeX
  45. 45. 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
  46. 46. 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
  47. 47. 髙橋 英彦, Interface between AI and schizophrenia research, 日本神経科学会, 2020 BibTeX
  48. 48. 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
  49. 49. 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
  50. 50. *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
  51. 51. *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
  52. 52. *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
  53. 53. *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
  54. 54. 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
  55. 55. 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
  56. 56. Aoki R., *Benucci A., Plasticity of visual cortical circuits driven by millisecond patterned optogenetic manipulations at cellular-level resolution, JNS meeting, 2020 BibTeX
  57. 57. Lyamzin D., Aoki R., Benucci A., Orientation discrimination thresholds and task heuristics in mice, JNS meeting, 2020 BibTeX
  58. 58. 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
  59. 59. *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
  60. 60. *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
  61. 61. *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
  62. 62. *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
  63. 63. *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
  64. 64. *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
  65. 65. *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
  66. 66. Naoto Iwahasahi, 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, 2020 BibTeX
  67. 67. *内部英治, モデルフリーとモデルベースの協同による並列深層強化学習, 第34回人工知能学会全国大会 (JSAI 2020), 2020 BibTeX
  68. 68. *谷口 彰,田渕 義基,エル ハフィ ロトフィ,萩原 良信,谷口 忠大, 2020年度人工知能学会全国大会(JSAI2020), 2020 BibTeX
  69. 69. *勝又 勇貴,谷口 彰,エル ハフィ ロトフィ,萩原 良信,谷口 忠大, Generative Adversarial Networksと場所概念形成の確率モデルの融合に基づくSemantic Mapping, 2020年度人工知能学会全国大会(JSAI2020), 2020 BibTeX
  70. 70. *室 茉央子,久保 孝富,谷口 忠大, 二重分節構造への認知反応における感覚モダリティ依存性に関する基礎的検証, 2020年度人工知能学会全国大会(JSAI2020), 2020 BibTeX
  71. 71. *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意味獲得, 2020年度人工知能学会全国大会(JSAI2020), 2020 BibTeX
  72. 72. *國安 瞭,中村 友昭,長井 隆行,谷口 忠大, 確率モデルと深層生成モデルの相互作用によるマルチモーダル学習, 2020年度人工知能学会全国大会(JSAI2020), 2020 BibTeX
  73. 73. *吉田 悠人,谷口 彰,林 楓,谷口 忠大, マルチモーダル変分オートエンコーダを用いた実物体のカテゴリ形成, 2020年度人工知能学会全国大会(JSAI2020), 2020 BibTeX
  74. 74. Macpherson T, Mizoguchi H, Yamanaka A, *Hikida T, A role for Enkephalin-expressing ventral pallidal neurons in controlling aversive Pavlovian Conditioning., 第97回日本生理学会, 2020 BibTeX
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  172. 172. 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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  221. 221. *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
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  239. 239. *Benucci A., Sensory Representation Plasticity Driven by Patterned Optogenetic Stimulation in the Mouse Cortex, Japan Neuroscience meeting, 2018 BibTeX
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  241. 241. 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
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  244. 244. *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
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  248. 248. *黄瀬輝, 谷口忠大, Generative Adversarial Imitation Learningにタスク達成報酬を付加した動作の学習, 2018年度 人工知能学会全国大会(第32回)(JSAI2018), 2018 BibTeX
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  250. 250. 升森 敦士, 丸山 典宏, シナパヤ ラナ, 池上 高志, 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, 2018 BibTeX
  251. 251. *冨山 翔司,岩澤 有祐,松尾豊, 系列生成器の訓練のためのエキスパート系列に基づく報酬関数の学習方法の提案,, 人工知能学会全国大会2018, 2018 BibTeX
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