PUBLICATIONS
Category
Year

International Journal Paper

  1. 1. Sato, H., Kunitomo, H., Fei, X., Hashimoto, K., and *Iino, Y., Simultaneous recording of behavioral and neural responses of free-moving nematodes, STAR Protoc, 2021, 2, 4, 101011, reviewed BibTeX
  2. 2. Ryota Ishikawa, Saho Ayabe-Kanamura, *Jun Izawa, The role of motor memory dynamics in structuring bodily self-consciousness, Iscience, 2021, 24, 12, 103511, reviewed BibTeX
  3. 3. *Tomoki Fukai, Toshitake Asabuki and Tatsuya Haga, Neural mechanisms for learning hierarchical structures of information., Current Opinion in Neurobiology, 2021, 70, 145-153, reviewed BibTeX
  4. 4. *Fukai T, Asabuki T, Haga T, Neural mechanisms for learning hierarchical structures of information., Current Opinion in Neurobiology, 2021, 70, 145-153, reviewed BibTeX
  5. 5. *Hirai S, Miwa H, Tanaka T, Toriumi K, Kunii Y, Shimbo H, Sakamoto T, Hino M, Izumi R, Nagaoka A, Yabe H, Nakamachi T, Shioda S, Dan T, Miyata T, Nishito Y, Suzuki K, Miyashita M, Tomoda T, Hikida T, Horiuchi J, Itokawa M, Arai M, *Okado H, High Sucrose Diets Contribute to Brain Angiopathy with Impaired Glucose Uptake, and Psychosis-related Higher Brain Dysfunctions in Mice., Science Advances, 2021, 7, 46, eabl6077, reviewed BibTeX
  6. 6. Sakurai K, Itou T, Morita M, Kasahara E, Moriyama T, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Sekiyama A, Oka M, *Hikida T. , Effects of Importin α1/KPNA1 deletion and adolescent social isolation stress on psychiatric disorder-associated behaviors in mice., PLoS ONE, 2021, 16, 11, e0258364, reviewed# BibTeX
  7. 7. *Takamuku S, Gomi H, Vision-based speedometer regulates human walking, iScience, 2021, 24, 12, 103390, https://www.sciencedirect.com/science/article/pii/S2589004221013614 BibTeX
  8. 8. *Langdon A, Botvinick M, Nakahara H, Tanaka K, Matsumoto M, Kanai R, Meta-learning, social cognition and consciousness in brains and machines, Neural Networks, 2021, 145, 80-89, reviewed BibTeX
  9. 9. Mori, K., Yamauchi, N., Wang, H., Sato, K., Toyoshima, Y., and *Iino, Y., Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior, Neural Netw, 2021, 145, 107-120, reviewed BibTeX
  10. 10. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, *Hikida T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control. , Neural Networks, 2021, 144, 507-521, reviewed# BibTeX
  11. 11. Macpherson T, Churchland A, Sejnowski A, DiCarlo J, Kamitani Y, Takahashi H, *Hikida T, Natural and Artificial Intelligence: a brief introduction to the interplay between AI and neuroscience research. , Neural Networks, 2021, 144, 603-613, reviewed# BibTeX
  12. 12. Tanaka S, Taylor JE, Sakagami M*, The effect of effort on reward prediction error signals in midbrain dopamine neurons, Current Opinion in Behavioral Sciences, 2021, 41, 152-159, reviewed BibTeX
  13. 13. Lucas Rebelo Dal’Bello, *Jun Izawa, Task-relevant and task-irrelevant variability causally shape error-based motor learning, Neural Networks, 2021, 142, 583-596, reviewed BibTeX
  14. 14. Macpherson T, Churchland A, Sejnowski A, DiCarlo J, Kamitani Y, Takahashi H, *Hikida T, Natural and Artificial Intelligence: a brief introduction to the interplay between AI and neuroscience research., Neural Networks, 2021, 144, 603-613, reviewed#& BibTeX
  15. 15. Mimura K, Nagai Y, Inoue K, Matsumoto J, Hori Y, Sato C, Kimura K, Okauchi T, Hirabayashi T, Nishijyo H, Yahata N, Takada M, Suhara T, Higuchi M, *Minamimoto T, Chemogenetic activation of nigrostriatal dopamine neurons in freely moving common marmosets., iScience, 2021, 24, 103066, reviewed BibTeX
  16. 16. Koki Mimura, Yuji Nagai, Ken-ichi Inoue, Jumpei Matsumoto, Yukiko Hori, Chika Sato, Kei Kimura, Takashi Okauchi, Toshiyuki Hirabayashi, Hisao Nishijo, Noriaki Yahata, Masahiko Takada, Tetsuya Suhara, Makoto Higuchi, Takafumi Minamimoto*, Chemogenetic activation of nigrostriatal dopamine neurons in freely moving common marmosets, iScience, 2021, 24, 9, 103066, reviewed&# BibTeX
  17. 17. *Hamasaki Y, Pionnié-Dax N, Dorard G, Tajan N, Hikida T., Identifying Social Withdrawal (Hikikomori) Factors in Adolescents: Understanding the Hikikomori Spectrum., Child Psychiatry & Human Development, 2021, 52, 5, 808-817, reviewed BibTeX
  18. 18. Karl Friston, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, *Hiroaki Gomi, Josh Tenenbaum, World model learning and inference, Neural Networks, 2021, 144, 573-590, https://doi.org/10.1016/j.neunet.2021.09.011 BibTeX
  19. 19. Ozawa T+, Itokazu T+, Ichitani Y, *Yamada K., Pharmacologically induced N-methyl-D-aspartate receptor hypofunction impairs goal-directed food seeking in rats., Neuropsychopharmacology Reports, 2021, 41, 4, 526-531, reviewed BibTeX
  20. 20. *Doya K, Canonical cortical circuits and the duality of Bayesian inference and optimal control, Current Opinion in Behavioral Sciences, 2021, 41, 160-167, Review BibTeX
  21. 21. Morisaki I, Shiraishi H, Fujinami H, Shimizu N, Hikida T, Arai Y, Kobayashi T, Hanada R, Penninger JM, Fujiki M, *Hanada T., Modeling a human CLP1 mutation in mouse identifies an accumulation of tyrosine pre-tRNA fragments causing pontocerebellar hypoplasia type 10., Biochemical and Biophysical Research Communications, 2021, 570, 60-66, reviewed BibTeX
  22. 22. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, *Hikida T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control., Neural Networks, 2021, 144, 507-521, reviewed#& BibTeX
  23. 23. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, *Hikida, T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control, Neural Networks, 2021, 144, 507-521, reviewed BibTeX
  24. 24. Oguchi M, Tanaka S, Pan X, Kikusui T, Moriya-Ito K, Kato S, Kobayashi K, Sakagami M*, Chemogenetic inactivation reveals the inhibitory control function of the prefronto-striatal pathway in the macaque brain, Communications Biology, 2021, 4, 1, reviewed BibTeX
  25. 25. *Miyazaki K, Miyazaki KW, Increased serotonin prevents compulsion in addiction, Science, 2021, 373, 1197-1198, Commentry BibTeX
  26. 26. Yeh LF+, Ozawa T+, *Johansen JP., Functional organization of the midbrain periaqueductal gray for regulating aversive memory formation., Molecular Brain, 2021, 14, 1, 136, reviewed BibTeX
  27. 27. Abekawa N, Diedrichsen J, *Gomi H, Gaze control during reaching is flexibly modulated to optimize task outcome, J Neurophysiol., 2021, 126, 3, 816-826, https://journals.physiology.org/doi/10.1152/jn.00134.2021 BibTeX
  28. 28. *Uchibe E, Doya K, Forward and inverse reinforcement learning sharing network weights and hyperparameters, Neural Networks, 2021, 144, 138-153, Research BibTeX
  29. 29. *Suzuki S, Takeda S, Takagi M, Tanida R, Kimata H, Shouno H, Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32, 6, 3934-3946 BibTeX
  30. 30. Oguchi M, Jiasen J, Yoshioka T, Tanaka YR, Inoue K, Takada M, Kikusui T, Nomoto K, Sakagami M*, Microendoscopic calcium imaging of the primary visual cortex of behaving macaques, Scientific Reports, 2021, 11, 1, reviewed BibTeX
  31. 31. *Tatsuya Haga and *Tomoki Fukai, Multiscale representations of community structures in attractor neural networks., PLOS Computational Biology, 2021, 17, 8, e1009296, reviewed BibTeX
  32. 32. *Haga T, *Fukai T, Multiscale representations of community structures in attractor neural networks., PLOS Computational Biology, 2021, 17, 8, e1009296, reviewed BibTeX
  33. 33. Oguchi M, Jiasen J, Yoshioka TW, Tanaka YR, Inoue K, Takada M, Kikusui T, Nomoto K, *Sakagami M., Microendoscopic calcium imaging of the primary visual cortex of behaving macaques., Sci Rep, 2021, 11, 17021, reviewed BibTeX
  34. 34. *Uchibe E, Doya K, Forward and inverse reinforcement learning sharing network weights and hyperparameters, Neural Networks, 2021, 144, 138-153, reviewed BibTeX
  35. 35. Nishioka T, Macpherson T, Hamaguchi K, *Hikida T., Distinct Roles of Dopamine D1 and D2 Receptor-expressing Neurons in the Nucleus Accumbens for a Strategy Dependent Decision Making., bioRxiv, 2021, 455353, # BibTeX
  36. 36. Shimoda S, Ozawa T, Ichitani Y, *Yamada K., Long-term associative memory in rats: Effects of familiarization period in object-place-context recognition test., PLoS ONE, 2021, 16, 7, e0254570, reviewed BibTeX
  37. 37. Yukiko Hori, Koki Mimura, Yuji Nagai, Atsushi Fujimoto, Kei Oyama, Erika Kikuchi, Ken-ichi Inoue, Masahiko Takada, Tetsuya Suhara, Barry J Richmond, Takafumi Minamimoto, Single caudate neurons encode temporally discounted value for formulating motivation for action, Elife, 2021, 10, e61248, reviewed& BibTeX
  38. 38. Takahisa Inoue, Shin Terada, Masanori Matsuzaki, *Jun Izawa, A small-scale robotic manipulandum for motor control study with rodents, Advanced Robotics, 2021, 35, 13-14, 898-906, reviewed BibTeX
  39. 39. Abdolrahmani M, Lyamzin, D.R., Aoki R, *Benucci A., Attention Decorrelates Sensory and Motor Signals in the Mouse Visual Cortex, Cell Rep., 2021, 36, 2, 109377, reviewed BibTeX
  40. 40. *Zhang, X., Liu, Y., Xu, X., Huang, Q., Mao, H. and Carie, A, Structural relational inference actor-critic for multi-agent reinforcement learning, Neurocomputing, 2021, 459, 383-394, Research BibTeX
  41. 41. *Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo, Information-theoretic regularization for learning global features by sequential VAE, Machine Learning, 2021, 110, 2239–2266, reviewed BibTeX
  42. 42. *Doya K, Canonical cortical circuits and the duality of Bayesian Inference and optimal control, Current Opinion in Behavioral Sciences, 2021, 41, 160-167, reviewed, Open access BibTeX
  43. 43. Sakamoto, K., *Soh, Z., Suzuki, M., Iino, Y., and *Tsuji, T., Forward and backward locomotion patterns in C. elegans generated by a connectome-based model simulation, Sci Rep, 2021, 11, 1, 13737, reviewed BibTeX
  44. 44. Yukiko Hori, Yuji Nagai, Koki Mimura, Tetsuya Suhara, Makoto Higuchi, Sebastien Bouret, Takafumi Minamimoto, D1- and D2-like receptors differentially mediate the effects of dopaminergic transmission on cost–benefit evaluation and motivation in monkeys, PLoS Biology, 2021, 19, 7, e3001055, reviewed& BibTeX
  45. 45. *Shinsuke Suzuki, Yuichi Yamashita, Kentaro Katahira, Psychiatric symptoms influence reward-seeking and loss-avoidance decision-making through common and distinct computational processes, Psychiatry and clinical neurosciences, 2021, 75, 277-285, reviewed& BibTeX
  46. 46. *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, 3, 11, 2446-2454.e5, Doi: https://doi.org/10.1016/j.cub.2021.03.048 BibTeX
  47. 47. *Tadahiro Taniguchi, Lotfi El Hafi, Yoshinobu Hagiwara, Akira Taniguchi, Nobutaka Shimada, and Takanobu Nishiura, Semiotically Adaptive Cognition: Toward the Realization of Remotely-Operated Service Robots for the New Normal Symbiotic Society, Advanced Robotics, 2021, 35, 664-674, DOI: 10.1080/01691864.2021.1928552 BibTeX
  48. 48. 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
  49. 49. 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
  50. 50. 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
  51. 51. *Desforges M,Taira M+, ZFPM1 Necessary for Development of Serotonergic Projections Related to Anxiety and Contextual Fear Learning, Journal of Neuroscience, 2021, 41, 3945-3947, Review BibTeX
  52. 52. *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
  53. 53. *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
  54. 54. *Takashi Handa, Rie Harukuni, *Tomoki Fukai, Concomitant processing of choice and outcome in frontal corticostriatal ensembles correlates with performance of rats., Cerebral Cortex, 2021, bhab091, reviewed BibTeX
  55. 55. *Handa T, Harukuni R, *Fukai T, Concomitant processing of choice and outcome in frontal corticostriatal ensembles correlates with performance of rats., Cerebral Cortex, 2021, bhab091, reviewed BibTeX
  56. 56. *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
  57. 57. 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, 2021, 12952, reviewed BibTeX
  58. 58. 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
  59. 59. Kenya Tanamachi, *Jun Izawa, Satoshi Yamamoto, Daisuke Ishii, Arito Yozu, Yutaka Kohno, Experience of After-Effect of Memory Update Reduces Sensitivity to Errors During Sensory-Motor Adaptation Task, Frontiers in Human Neuroscience, 2021, 15, 602405, reviewed BibTeX
  60. 60. *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
  61. 61. 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
  62. 62. 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
  63. 63. *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
  64. 64. *Yamada H, Imaizumi Y, Matsumoto M, Neural population dynamics underlying expected value computation, Journal of Neuroscience, 2021, 41, 1684-1698, reviewed BibTeX
  65. 65. Lyamzin D.R, Aoki R, Abdolrahmani M, *Benucci A, Probabilistic discrimination of relative stimulus features in mice, PNAS, 2021, 118, 30, e2103952118., reviewed BibTeX
  66. 66. *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, Experimental Brain Research, 2021, 2021, 239 BibTeX
  67. 67. *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
  68. 68. 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, 7, 26, eabg4246, reviewed& BibTeX
  69. 69. *Yamashita Y, Psychiatric disorders as failures in the prediction machine, Psychiatry and Clinical Neurosciences, 2021, 75, 1~2, reviewed& BibTeX
  70. 70. *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, 2021, 8, 1, reviewed BibTeX
  71. 71. 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
  72. 72. *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
  73. 73. 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
  74. 74. 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
  75. 75. *Freiwald Winrich A., Hosoya Haruo, Neuroscience: A Face’s Journey through Space and Time, Current Biology, 2021, 31, R13–R15, invited& BibTeX
  76. 76. *Jun-ichiro Furukawa, Jun Morimoto, Composing an Assistive Control Strategy Based on Linear Bellman Combination From Estimated User’s Motor Goal, IEEE Robotics and Automation Letters, 2021, 6, 2, 1051 – 1058, reviewed BibTeX
  77. 77. *Lehky SR, Tanaka K, Sereno AB, Pseudosparse neural coding in the visual system of primates, Communications Biology, 2021, 4, 1, 50, reviewed BibTeX
  78. 78. Friston K, Moran RJ, Nagai Y, Taniguchi T, Gomi H, Tenenbaum J, World model learning and inference, Neural Networks, 2021, 144, 573–590 BibTeX
  79. 79. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, Hikida T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control, Neural Networks , 2021, 144, 507–521 BibTeX

Domestic Journal Paper

  1. 1. 濱口航介, 細胞内膜電位から見た小鳥の歌を紡ぐネットワーク, 日本神経回路学会誌, 2021, 28, 3, 総説 BibTeX
  2. 2. 鮫島和行, 知能の理論と実験、その循環。強化学習と神経科学を例に, 認知科学, 2021, 28, 3, 373-382, invited BibTeX
  3. 3. *Handa T, Harukuni R, *Fukai T, Concomitant processing of choice and outcome in frontal corticostriatal ensembles correlates with performance of rats., Cerebral Cortex, 2021, bhab091, reviewed BibTeX
  4. 4. *岡本弘野, 鈴木雅大, 松尾豊, 深層ニューラルネットワークの中間層出力を利用した半教師あり分布外検知, 情報処理学会論文誌, 2021, 62, 4, 1142 – 1151, reviewed BibTeX
  5. 5. 能地宏, 大関洋平, 再帰的ニューラルネットワーク文法の並列化, 言語処理学会第27回年次大会発表論文集, 2021, 937-941, & BibTeX
  6. 6. 栗林樹生, 大関洋平, 伊藤拓海, 吉田遼, 浅原正幸, 乾健太郎, 日本語の読みやすさに対する情報量に基づいた統一的な解釈, 言語処理学会第27回年次大会発表論文集, 2021, 723-728, & BibTeX
  7. 7. 吉田遼, 能地宏, 大関洋平, 再帰的ニューラルネットワーク文法による人間の文処理のモデリング, 言語処理学会第27回年次大会発表論文集, 2021, 273-278, & BibTeX
  8. 8. 栗林樹生, 大関洋平, 伊藤拓海, 吉田遼, 浅原正幸, 乾健太郎, 予測の正確な言語モデルがヒトらしいとは限らない, 言語処理学会第27回年次大会発表論文集, 2021, 267-272, & BibTeX
  9. 9. *近添淳一, 味覚の脳機能イメージング, Clinical Neuroscience, 2021, 39, 2, 167-169, invited BibTeX
  10. 10. 谷口忠大, 認知システムの統合によるロボットの言語理解と記号創発—確率的生成モデルに基づく記号創発システム論の展開—, 日本ロボット学会誌, 2021, 39, 5, 405-410, 解説記事 BibTeX
  11. 11. *高橋英彦, 意思決定障害としての精神疾患, Clinical Neuroscience, 2021, 39, 2021年8月, 947, invited & BibTeX

International Conference

  1. 1. Nishioka T, Macpherson T, Hamaguchi K, *Hikida T., Distinct Roles of Dopamine D1 and D2 Receptor-expressing Neurons in the Nucleus Accumbens for a Strategy Dependent Decision Making., 60th Annual Meeting of the American College of Neuropsychopharmacology, 2021, online, reviewed poster BibTeX
  2. 2. Doya K, Natural and artificial reinforcement learning, Deep Reinforcement Learning Workshop, NeurIPS2021, 2021, online, Invited lecture BibTeX
  3. 3. *Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, and Shixiang Shane Gu, Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning, Neural Information Processing Systems 2021, 2021, Virtual, reviewed BibTeX
  4. 4. *Yusuke Iwasawa, Yutaka Matsuo, Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization, Neural Information Processing Systems 2021, 2021, Virtual, reviewed BibTeX
  5. 5. Yihao Wu, Jun Izawa, The regret motivated reinforcement learning, 2021 International Symposium on Micro-NanoMehatronics and Human Science (MHS), 2021, Nagoya,Japan, reviewed BibTeX
  6. 6. *Asuka Moritani, Ryo Ozaki, Shoki Sakamoto, Hirokazu Kameoka, Tadahiro Taniguchi, StarGAN-based Emotional Voice Conversion for Japanese Phrases, Asia-Pacific Signal and Information Processing Association (APSIPA 2021), 2021, Tokyo, Japan BibTeX
  7. 7. Tadahiro Taniguchi, Generative Models for Symbol Emergence based on Real-World Sensory-motor Information and Communication, The 15th International Symposium on Computer Music Multidisciplinary Research (CMMR 2021), 2021, Online, keynote BibTeX
  8. 8. Abekawa N, Gomi H, Static and dynamic gaze states are separately linked with motor learning of reaching movements, Neuroscience 2021, 2021, online BibTeX
  9. 9. De Havas J, Ito S, Bestmann S, Gomi H, Parietal contributions to illusory tactile pulling sensations, Neuroscience 2021, 2021, online BibTeX
  10. 10. Gomi H, Abekawa N, Doya K, Bayesian visuomotor-reflex modulation by remote state instabilities, Neuroscience 2021, 2021, online BibTeX
  11. 11. *Nishioka T, Macpherson T, Hamaguchi K, Hikida T., Distinct Roles of Dopamine D1 and D2 Receptor-expressing Neurons in the Nucleus Accumbens for a Strategy Dependent Decision Making., Neuroscience 2021, 50th Annual meeting of Society for Neuroscience, 2021, online, reviewed poster BibTeX
  12. 12. Doya K, The duality of inference and control as a key to understanding canonical cortical circuits, RIKEN-OIST symposium, 2021, online, Invited lecture BibTeX
  13. 13. *Rikunari Sagara, Ryo Taguchi, Akira Taniguchi, and Tadahiro Taniguchi, Simultaneous Learning of Relative and Absolute Spatial Concepts Without Any Prior Distinction, IEEE 10th Global Conference on Consumer Electronics (GCCE 2021), 2021, Online, https://ieeexplore.ieee.org/document/9621937 BibTeX
  14. 14. *Li Y, Doya K, Investigation of information flow and temporal-spatial organization of neurons across cortical layers from multi-depth two-photon imaging data, JNNS2021, 2021, online, Poster presentation BibTeX
  15. 15. *Shoki Sakamoto, Akira Taniguchi, Tadahiro Taniguchi, and Hirokazu Kameoka, StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition, INTERSPEECH 2021, 2021, Online BibTeX
  16. 16. Yohei Oseki, Human language processing in comparative computational psycholinguistics, Issues in Japanese Psycholinguistics from Comparative Perspectives (IJPCP), 2021, Zoom, Online, invited BibTeX
  17. 17. Doya K, The duality of control and inference as a clue for cracking the codes of frontal and sensory cortical architectures, CJK Symposium 17, Theoretical Brain, The 44th annual meeting of the Japan Neuroscience Society, 2021, online, Invited lecture BibTeX
  18. 18. Taira M, The effect of photoinhibition of dorsal raphe serotonin neurons on stationary waiting and sustained motor actions for future rewards, The 44th annual meeting of the Japan Neuroscience Society, 2021, Kobe Convention Center BibTeX
  19. 19. Tadahiro Taniguchi, Symbol Emergence in Robotics: Probabilistic Generative Models for Realizing Real-world Cognition, Fifth International Workshop on Symbolic-Neural Learning (SNL-2021), 2021, Online, invited BibTeX
  20. 20. Hamaguchi K, Aoki-Takahashi H, *Watanabe D, Prospective action selection and inferred value in mouse frontal cortex, The 44th Annual Meeting of the Japan Neuroscience Society, 2021, Kobe, Japan, poster BibTeX
  21. 21. *Tadahiro Taniguchi, Lotfi El Hafi, Yoshinobu Hagiwara, Akira Taniguchi, Nobutaka Shimada, and Takanobu Nishiura, Development of Semiotically Adaptive Cognition For Realizing Remotely Operated Service Robots in New Normal Society, IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO), 2021, Online BibTeX
  22. 22. *Shingo Hiroki, Hikari Yoshitane, Yoshitaka Fukada, Masahiro Tomioka, Muneki Ikeda, Ikue Mori, Yuichi Iino, Molecular Encoding and Synaptic Decoding of Memory of Chemical Concentration in C. elegans, 23rd International C. elegans Conference, 2021, Online BibTeX
  23. 23. Yohei Oseki, Reverse-engineering human language processing, Joint Workshop on Linguistics & Language Processing (JWLLP), 2021, Zoom, Online, invited BibTeX
  24. 24. Doya K, Duality of control and inference and the cortical circuit architecture, SBDM 2021, 2021, online, Invited lecture BibTeX
  25. 25. *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
  26. 26. *Mimura K, Unsupervised temporal segmentation of marmoset goal-directed behavior, 10th International Symposium on Biology of Decision-Making, 2021, Paris, France, invited / oral BibTeX
  27. 27. Doya K, What can we learn from the brain for future AI?, Brain2AI Workshop, International Conference on Learning Representations (ICLR 2021), 2021, online, Invited lecture BibTeX
  28. 28. *Haruo Hosoya, CIGMO: Learning categorical invariant deep generative models from grouped data, ICLR Workshop on Weakly Supervised Learning, 2021, online, reviewed poster BibTeX
  29. 29. *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
  30. 30. *Uchida Y, Hikida T, Yamashita Y., Oral perceptions as expected changes in internal states: computational modeling of altered nutrient intake in psychiatric disorders and proposal of a possible treatment strategy, Society of Biological Psychiatry 2021 virtual meeting, 2021, online, reviewed poster BibTeX
  31. 31. *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
  32. 32. 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
  33. 33. Takashi Ikegami, Offloaded Mind: the experiments of dyadic humanoid/human interaction, 2021 International Workshop on Embodied Intelligence, 2021, online, keynote BibTeX
  34. 34. *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
  35. 35. Kasahara, Kazumi, Nakamura, Tatsuhiro, Uehara, Kazumasa, Ogata, Yusuke, Doya, Kenji and Hanakawa, Takashi, Effects of transcranial direct current stimulation in brain-computer interface, 2021 IEEE 3rd Global Conference on life science and technology (LifeTech 2021), 2021, online, Poster BibTeX
  36. 36. *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
  37. 37. 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
  38. 38. Doya, Kenji, Neural circuit for mental simulation, China-Japan Expert Symposium on Brain Science, 2021, online, invited BibTeX
  39. 39. *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
  40. 40. 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
  41. 41. 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
  42. 42. 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
  43. 43. *Matsumoto H, Mizuseki K, athway-specific roles of midbrain dopamine neurons in reward-based decisions, The 44th Annual Meeting of the Japan Neuroscience Society, 2021 BibTeX

Domestic Conference

  1. 1. *小澤貴明, 脳内イメージングによる多様なドーパミン神経伝達の解析, 大阪大学蛋白質研究所セミナー「多様なドーパミン神経伝達から脳を探る」, 2021 BibTeX
  2. 2. *Macpherson T, Neural mechanisms in reward and aversion, 大阪大学蛋白質研究所セミナー「多様なドーパミン神経伝達から脳を探る」, 2021 BibTeX
  3. 3. Doya K, 進化するスマホロボットは何をめざすか, 第38回AI美芸研シンポジウム「コンセプチュアルウイルス」, 2021 BibTeX
  4. 4. *疋田貴俊, 腹側淡蒼球のドーパミンの役割, 第17回COCORO会議、第17回脳表現型の分子メカニズム研究会, 2021 BibTeX
  5. 5. *松本朱加、豊島有、Zhang Chenqi、磯崎瑛宏、合田圭介、飯野雄一, 線虫の塩走性における感覚運動統合と行動制御の神経機構の解明, 第44回日本分子生物学会年会, 2021 BibTeX
  6. 6. *永田大貴、豊島有、佐藤博文、久世晃暢、寺本孝行、石原健、飯野雄一, 線虫C. elegansの頭部全神経イメージングデータを用いた神経活動解析, 第44回日本分子生物学会年会, 2021 BibTeX
  7. 7. *内田裕輝, 疋田貴俊, 山下祐一, 発達障害における栄養ホメオスタシス失調の計算モデル, 日本発達神経科学会第10回学術集会, 2021 BibTeX
  8. 8. 谷口忠大, 記号創発ロボティクスによる 実世界言語獲得の展開, 特別講演,日本英語学会第39回大会, 2021 BibTeX
  9. 9. Doya K, 動物の行動と神経活動を予測する, 日本動物実験代替法学会第34回大会, 2021 BibTeX
  10. 10. 大関洋平, 認知・脳情報処理による人間らしい言語処理モデルの開発, 生理学研究所 シンポジウム「情動の脳科学的理解に基づく人文系学問の再構築」, 2021 BibTeX
  11. 11. *Matsumoto Y, Shibata T, Nakamura M, Macpherson T, Hikida T, Ozawa T, Analysis of prefrontal dopamine release dynamics during reward expectation in mice., 日本動物心理学会 第81回大会, 2021 BibTeX
  12. 12. Koki Mimura*, Jumpei Matsumoto, Daichi Mochihashi, Tomoaki Nakamura, Takafumi Minamimoto, Unsupervised segmentation of the contextual structure inherent in goal-directed behavior in non-human primates, 第81回日本動物心理学会大会, 2021 BibTeX
  13. 13. Doya K, 理論ベース/データ駆動の脳科学, 中部大学AI数理データサイエンスセンター キックオフシンポジウム, 2021 BibTeX
  14. 14. 大関洋平, Building machines that process natural language like humans, 奈良先端科学技術大学院大学 コロキアム, 2021 BibTeX
  15. 15. *青峰良淳, 櫻井航輝, Macpherson T, 小澤貴明, 宮本洋一, 米田 悦啓, 岡正啓, 疋田貴俊, インポーチンα3欠損マウスのアルコール関連行動解析., 生理学研究所研究会 第 6 回食欲・食嗜好の分子・神経基盤研究会, 2021 BibTeX
  16. 16. *内田裕輝, 疋田貴俊, 山下祐一, マウスの食塩嗜好性を記述するホメオスタシス強化学習理論の構築., 生理学研究所研究会 第 6 回食欲・食嗜好の分子・神経基盤研究会, 2021 BibTeX
  17. 17. *Yamane Y, Doya K, 不確かさ判断の神経機構, 日本視覚学会2021年夏季大会, 2021 BibTeX
  18. 18. *柴田智弘, 疋田貴俊, 小澤貴明., うま味成分が持つ塩味嗜好性増強効果における脳内報酬系の役割., 日本味と匂学会第55回大会, 2021 BibTeX
  19. 19. *小澤貴明, Dopaminergic circuit controls salt and umami seeking behavior., 日本味と匂学会第55回大会, 2021 BibTeX
  20. 20. *Yamane Y, Ebina T, Sasagawa A, Terada S, Uemura M, Ohki K, Matsuzaki M, Doya K, マーモセットカルシウムイメージングデータの因果解析, 日本神経回路学会, 2021 BibTeX
  21. 21. *疋田貴俊, マクファーソン トム, 西岡忠昭, 側坐核における報酬・忌避の神経機構., 2021年度生理学研究所研究会「多様な視点から情動を捉え直す」, 2021 BibTeX
  22. 22. 五味裕章, 潜在感覚運動の内部状態表現と調節, 第15回 Motor Control 研究会, 2021 BibTeX
  23. 23. *疋田貴俊, 報酬/目的指向行動の神経回路機構, 第15回 Motor Control研究会., 2021 BibTeX
  24. 24. *マクファーソン トム, 行動の柔軟性における並列神経回路機構, 第15回 Motor Control研究会., 2021 BibTeX
  25. 25. *内部英治, 並列深層強化学習, 第15回Motor Control研究会, 2021 BibTeX
  26. 26. *徐貺哲, 松香敏彦, 長田典子, 隠れマルコフモデルを用いた眼球運動による性格特性の推定, 日本認知科学会第38回大会, 2021 BibTeX
  27. 27. *松香敏彦, Aikemujiangs Yafeila, カテゴリー学習における弁別困難な事例の影響, 日本認知科学会第38回大会, 2021 BibTeX
  28. 28. *白砂大,本田秀仁,松香敏彦,植田一博, そのヒューリスティックは、そもそも使えるのか ~正確性と使用可能性に基づくヒューリスティック使用の検証~, 日本認知科学会第38回大会, 2021 BibTeX
  29. 29. *Sayako Satomi, Hirofumi Kunitomo, Yuichi Iino, ASEL神経における塩応答機構の解明, 線虫研究の未来を創る会2021, 2021 BibTeX
  30. 30. Doya K, 「人工知能は脳から何を学べば良いのか」, 応用脳科学アカデミー, 2021 BibTeX
  31. 31. *西岡忠昭, 疋田貴俊, 損失回避の基盤となる神経メカニズム:側坐核のドーパミンD2受容体含有ニューロンの活性化はネガティヴな結果に繋がる選択の回避に寄与する., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  32. 32. *内田裕輝, 疋田貴俊, 山下祐一, 精神疾患における栄養摂取の変調とその治療の計算論モデル., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  33. 33. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊., インポーチンα3欠損マウスのアルコール関連行動解析., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  34. 34. *Daudelin MN, Macpherson T, Cheng HI, Hikida T, Elucidating Pathway-Specific Locomotor and Limbic Functions of the Subthalamic Nucleus., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  35. 35. *柴田智弘, 小澤貴明, 中村萌, Macpherson T, 疋田貴俊, マウスの報酬予測行動における線条体ドーパミン放出動態の解析., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  36. 36. *櫻井航輝、伊藤大一、森田真規子、マクファーソン トム、小澤貴明、宮本洋一、米田悦啓、岡正啓、疋田貴俊., 社会的孤立ストレスによるImportin α1/KPNA1ノックアウトマウスに見られる行動異常の増悪., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  37. 37. *Li S, Pan Y, 櫻井航輝, Wang Q, 高尾敏文, 疋田貴俊, LC-MS/MSによる多発硬化症モデルマウスの解析., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  38. 38. *中村萌、小澤貴明、柴田智弘、Macpherson Tom、疋田貴俊., 聴覚性恐怖条件づけにおける線条体ドーパミン放出動態の解析., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  39. 39. *Attachaipanich S, Macpherson T, Hikida T, The role of nucleus accumbens core D1- and D2-neurons in controlling reward and aversion., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  40. 40. *Kobayashi KL, Macpherson T, Hikida T, Exploring the role of dopamine in the ventral pallidum., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  41. 41. *Macpherson T, Kim J, Hikida T, Nucleus accumbens D2-receptor-expressing neurons regulate reversal learning in the Attentional Set Shifting Test., 第44回日本神経科学大会/CJK第1回国際会議, 2021 BibTeX
  42. 42. *山内直寛、森啓太、飯野雄一、銅谷賢治, 線虫の行動制御神経回路機構の強化学習による探索, 第44回日本神経科学大会, 2021 BibTeX
  43. 43. *櫻井航輝、伊藤大一、森田真規子、マクファーソン トム、小澤貴明、宮本洋一、米田悦啓、岡正啓、疋田貴俊., Importin α1/KPNA1ノックアウトマウスに見られる社会的孤立ストレスへの感受性増加., 第43回日本生物学的精神医学会・第51回日本神経薬理学会・合同年会, 2021 BibTeX
  44. 44. *笹岡俊邦、齊藤奈英、田井中一貴、Macpherson Tom、疋田貴俊、山口瞬、板倉誠、阿部学、崎村建司., D1及びD2ドーパミン受容体を介する神経伝達による運動制御と学習記憶の仕組みの理解., 第43回日本生物学的精神医学会・第51回日本神経薬理学会・合同年会, 2021 BibTeX
  45. 45. *米丸ひなの、小澤貴明、櫻井航輝、志茂優斗、青峰良淳、谷垣健二、疋田貴俊., 22q11.2欠失症候群モデルマウスにおける脳内モノアミン量の解析., 第43回日本生物学的精神医学会・第51回日本神経薬理学会・合同年会, 2021 BibTeX
  46. 46. *内田裕輝、疋田貴俊、山下祐一., 精神疾患における栄養摂取の変調とその治療法:計算論的アプローチからの検討., 第43回日本生物学的精神医学会・第51回日本神経薬理学会・合同年会, 2021 BibTeX
  47. 47. *阪本 翔紀,谷口 彰,谷口 忠大,亀岡 弘和, StarGAN-VC+ASR:音声認識結果を正則化に活用した教師なし音声変換, 2021年度人工知能学会全国大会(JSAI2021), 2021 BibTeX
  48. 48. *小村 漱一朗,林 楓,谷口 彰,谷口 忠大,亀岡 弘和, StarGAN-VCを用いた話者非依存音響特徴量抽出と二重分節解析への応用, 2021年度人工知能学会全国大会(JSAI2021), 2021 BibTeX
  49. 49. *高津芳希, 今木理英, 岩橋直人, RoCoCo を用いた人間と機械の身体的協力行動の数理分析, 2021年度人工知能学会全国大会(JSAI2021), 2021 BibTeX
  50. 50. *谷口 彰,村上 太亮,谷口 忠大, 音韻情報と物体情報の共起性を活用した教師なし音素・単語発見手法, 2021年度人工知能学会全国大会(JSAI2021), 2021 BibTeX
  51. 51. Y. Takatsu, M. Imaki, N. Iwahashi, Mathematical Analysis of Physical Cooperative Behavior of Humans and Machines using RoCoCo, 2021年度 人工知能学会全国大会(第35回), 2021 BibTeX
  52. 52. *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
  53. 53. *篠田一聡, 竹澤祐貴, 鈴木雅大, 岩澤有祐, 松尾豊,, Interactive Instruction FollowingのためのNeuro-Symbolic手法による多様な物体と言語指示への頑健性の向上, 人工知能学会全国大会2021, 2021 BibTeX
  54. 54. *竹澤 祐貴, 篠田 一聡, 鈴木 雅大, 岩澤 有祐, 松尾 豊, Instruction Followingにおける構成的タスク表現の獲得, 人工知能学会全国大会2021, 2021 BibTeX
  55. 55. *小林 由弥, 鈴木 雅大, 松尾 豊, Transformerを用いた深層生成モデルによる教師なし物体認識手法の提案, 人工知能学会全国大会2021, 2021 BibTeX
  56. 56. *近藤生也, 岩澤有祐, 松尾豊, スキルに基づく探索方策による世界モデルの学習, 人工知能学会全国大会2021, 2021 BibTeX
  57. 57. *阿久澤圭, 岩澤有祐, 松尾豊, ナビゲーション課題における視覚と言語の対応づけのための軌道の大域表現の半教師あり学習, 人工知能学会全国大会2021, 2021 BibTeX
  58. 58. *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
  59. 59. 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
  60. 60. 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
  61. 61. *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
  62. 62. *坂上雅道, 前頭前野における情報の抽象化と演繹的情報創成の神経メカニズムの研究, 新学術領域研究「人工知能と脳科学」第10回領域会議, 2021 BibTeX
  63. 63. *小口峰樹, Calcium Imaging in the Macaque Brain, 新学術領域研究「人工知能と脳科学」第10回領域会議, 2021 BibTeX
  64. 64. *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
  65. 65. 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
  66. 66. 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
  67. 67. 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
  68. 68. 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
  69. 69. 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
  70. 70. 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

Book

  1. 1. Doya, Kenji, Reinforcement learning, The Cambridge Handbook on Computational Cognitive Sciences, 2021 BibTeX
  2. 2. 岩橋直人他63名, 人工知能を用いた五感・認知機能の可視化とメカニズム解明, 技術情報協会, 2021 BibTeX
  3. 3. *坂上雅道,小口峰樹, 既知から未知を見出す脳メカニズム, A Complete Handbook of the Association Cortices:Cerebral Localization,Neuroscience and Neuropsychology, 医学書院, 2021 BibTeX
  4. 4. *小澤貴明, 疋田貴俊, 食のもたらす快情動の神経メカニズム 報酬系の脳内回路, 羊土社, 2021 BibTeX
  5. 5. Morioka H, Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits, RIKEN AIP Open Seminar, 2021, 一般向け講演会 BibTeX
  6. 6. キーラン・ヒーリー (著), 瓜生 真也 (翻訳), 江口 哲史 (翻訳), 三村 喬生 (翻訳), 講談社, 2021, 翻訳 BibTeX
  7. 7. Osanai M, Miwa H, Tamura A, Kikuta S, Iguchi Y, Yanagawa Y, Kobayashi K, Katayama N, Tanaka T, Mushiake H, Multimodal functional analysis platform: 1. Ultrathin fluorescence endoscope imaging system enables flexible functional brain imaging, Springer Nature Singapore Pte Ltd, 2021 BibTeX
  8. 8. *岩橋直人, 協力する知能をつくる ―運転から言語獲得までを統べる協力の数理, 人工知能を用いた五感・認知機能の可視化とメカニズム, 2021, 2021 BibTeX

Prize

  1. 1. 松本 悠真(疋田Lab), Analysis of prefrontal dopamine release dynamics during reward expectation in mice., 日本動物心理学会 第81回大会優秀発表賞, 2021 BibTeX
  2. 2. 柴田智弘(疋田Lab), うま味成分が持つ塩味嗜好性増強効果における脳内報酬系の役割, 日本味と匂学会第55回大会優秀発表賞, 2021 BibTeX
  3. 3. OIT-RITS, サービスカテゴリー、パートナーロボットチャレンジ、3位(WRS 実行委員長賞), WRS2020愛知大会(経済産業省、新エネルギー・産業技術総合開発機構(NEDO)), 2021 BibTeX
  4. 4. NAIST-RITS-Panasonic, サービスカテゴリー、フューチャーコンビニエンスストアチャレンジ、総合優勝(経済産業大臣賞), WRS2020愛知大会(経済産業省、新エネルギー・産業技術総合開発機構(NEDO)), 2021 BibTeX
  5. 5. NAIST-RITS-Panasonic, サービスカテゴリー、フューチャーコンビニエンスストアチャレンジ、陳列・廃棄タスク、1位(NEDO 理事長賞), WRS2020愛知大会(経済産業省、新エネルギー・産業技術総合開発機構(NEDO)), 2021 BibTeX
  6. 6. NAIST-RITS-Panasonic, サービスカテゴリー、フューチャーコンビニエンスストアチャレンジ、清掃タスク、1位(NEDO 理事長賞), WRS2020愛知大会(経済産業省、新エネルギー・産業技術総合開発機構(NEDO)), 2021 BibTeX
  7. 7. T. Taniguchi and D. Mochihashi and T. Nagai and S. Uchida and N. Inoue and I. Kobayashi and T. Nakamura and Y. Hagiwara and N. Iwahashi and T. Inamura, Survey on frontiers of language and robotics”, 第9回Advanced Robotics Best Survey Paper Awards, 2021 BibTeX
  8. 8. 内部英治, モデルフリーとモデルベース強化学習のための非同期並列学習, 人工知能学会2021年度全国大会優秀賞, 2021 BibTeX
  9. 9. 能地宏, 大関洋平, 再帰的ニューラルネットワーク文法の並列化, 最優秀賞, 2021 BibTeX
  10. 10. 吉田遼(大関研究室), 再帰的ニューラルネットワーク文法による人間の文処理のモデリング, 若手奨励賞, 2021 BibTeX
  11. 11. 栗林樹生, 大関洋平, 伊藤拓海, 吉田遼, 浅原正幸, 乾健太郎, 予測の正確な言語モデルがヒトらしいとは限らない, 委員特別賞, 2021 BibTeX

Press Release

  1. 1. Yuichi Iino (Univ Tokyo), 困ったときは兄弟に― 学習行動を制御するタンパク質をよく似たタンパク質がサポートする ―, 2021, https://www.s.u-tokyo.ac.jp/ja/press/2021/7696/ BibTeX
  2. 2. 小口峰樹,蒋嘉森,吉岡敏秀,田中康裕,井上謙一,高田昌彦,菊水健史,野元謙作,坂上雅道(学校法人玉川学園HP), 2021 BibTeX
  3. 3. Yuichi Iino (Univ Tokyo), 進むべきか戻るべきか?-過去の経験を基にして行動を逆転させる機構の解明-, 2021, https://www.s.u-tokyo.ac.jp/ja/press/2021/7390/ BibTeX
  4. 4. Takashi Ikegami, アンドロイドに「自己」は芽生えるのか?! 科学未来館で実験, 日本経済新聞(youtube), 2021, https://www.youtube.com/watch?v=um7uPojMz0k BibTeX
  5. 5. Takashi Ikegami, 機械人間になっても私はわたし?, Miraikan, 2021, https://www.miraikan.jst.go.jp/events/202103111783.html BibTeX
  6. 6. Tadahiro Taniguchi, 遠隔操作の重要性増すーAI 自ら学び「協力」へ, 読売新聞 朝刊 27面 科学A, 2021, 国内,新聞 BibTeX
  7. 7. Takatomi Kubo, How is the brain programmed for computer programming?, Nara Institute of Science and Technology, 2021, 国内,ネットニュース BibTeX
  8. 8. Takatomi Kubo, How the brain is programmed for computer programming?, EurekAlert!, 2021, 海外,ネットニュース BibTeX
  9. 9. Takatomi Kubo, プログラム理解能力に関連する脳活動パターンの特定に成功, EurekAlert!, 2021, 海外,ネットニュース BibTeX
  10. 10. Yuichi Iino (Univ Tokyo), ClCチャネルによる味覚応答の調節, 2021, https://www.s.u-tokyo.ac.jp/ja/press/2021/7226/ BibTeX
  11. 11. 大関洋平, 機械に人間らしく言葉を使わせるためには?, 株式会社フロムページ 夢ナビ, 2021, https://yumenavi.info/lecture.aspx?GNKCD=g011513 BibTeX
  12. 12. 大関洋平, 言葉を処理するAIは人のように「読み滞る」か?, 東北大学 大学院情報科学研究科, 2021, https://www.tohoku.ac.jp/japanese/2021/08/press20210819-03-ai.html BibTeX

Other

  1. 1. 谷口忠大, 人工知能の潮流とその議論 ~多様に分枝する応用に向けて~, 招待講演,MIJSニューテクノロジー委員会, 2021, Invited Talk BibTeX
  2. 2. 坂上雅道, 多様なドーパミン神経伝達から脳を探る, 大阪大学蛋白研究所セミナー, 2021, 大阪大学蛋白研究所, 講演 BibTeX
  3. 3. Doya,K, Neural Circuits for Mental Simulation, FUJITAブレインサイエンスセミナー, 2021, online BibTeX
  4. 4. 谷口彰, BRAに基づく海馬体の確率的生成モデルの構築, 第3回 WBAレクチャー[オンライン]脳型機械学習モデルの構築体験記:海馬のような確率的生成モデルはどのような足場の上に作られたのか?, 2021, Invited Talk BibTeX
  5. 5. 谷口忠大, AI時代において求められる教育 ~人工知能・ロボティクス・コミュニケーション場~, 令和3年度全国私学教育研究集会京都大会, 2021, Invited Talk BibTeX
  6. 6. Doya,K, 強化学習とベイズ推定の神経回路を探る, TOKYOニューロサイエンス研究会, 2021, online BibTeX
  7. 7. 谷口忠大, 人間とロボットの次世代共生社会に向けた コミュニケーションの理論構成 ~記号創発システム論から見る自己と他者~, 応用哲学会サマースクール「先端融合研究としての応用哲学入門」, 2021, Invited Talk BibTeX
  8. 8. 谷口忠大, 心を知るための人工知能 認知科学としての記号創発ロボティクス, 第3回ものづくりと質的研究読書会, 2021, Invited Talk BibTeX
  9. 9. 坂上雅道, #29『快楽 ドーパミンが操る天使と悪魔』, NHK BS1 ヒューマ二エンス, 2021, NHK, 出演 BibTeX
  10. 10. Doya,K, Neural Circuits for Mental Simulation, Neural Circuit Complexity: BrainCosmos Summer School, 2021, online BibTeX
  11. 11. Doya,K, Brain-inspired artificial intelligence for understanding and supporting humans, サントリーホールディングス研究交流会議, 2021, online BibTeX
  12. 12. Doya,K, Reinforcement learning and Bayesian inference, AI and Brain Computation Summer School, Cold Spring Harbor Asia, 2021, online BibTeX
  13. 13. 谷口忠大, ノンパラメトリックベイズ二重分節解析による語彙獲得 ~実世界感覚情報に基づく言語獲得の構成論に向けて~, 統計物理と統計科学のセミナー@統計数理研究所, 2021, Invited Talk BibTeX
  14. 14. Doya,K, Toward Data-driven Brain Science, Physics informed AI Seminar, 2021, online BibTeX
  15. 15. Doya,K, What Can We Further Learn from the Brain for AI?, APNNS/IEEE-CIS DLAI Summer School 2021, 2021, online, Seminar BibTeX
  16. 16. 谷口忠大, Symbol Emergence in Robotics: Towards Emergence of Mind through Physical and Semiotic Interaction, 神戸大学, 2021, 一般向け講演会・セミナー BibTeX
  17. 17. 三村 喬生, BeggineR Session – Nested data handling -, 第90回 Tokyo.R, 2021, 一般向け講演会・セミナー BibTeX
  18. 18. 谷口忠大, 建築情報学から広がる未来, 京都国際会館(YouTubeチャンネルにて配信)、豊田啓介氏と対談, 2021, 一般向け講演会・セミナー BibTeX
  19. 19. Doya, Kenji and Kano, Eiko, The Art of Science and Science of Art., 2021, online, Seminar BibTeX
  20. 20. Morioka H, Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits, RIKEN AIP Open Seminar, 2021, Online (Zoom), 一般向け講演会 BibTeX
  21. 21. 小松三佐子, 非ヒト霊長類の広域皮質情報処理, SCBR FORUM2021, 2021, 野村コンファレンスプラザ日本橋, invited BibTeX
  22. 22. 三村 喬生, BeggineR Session – Data visualization -, 第89回 Tokyo.R, 2021, 一般向け講演会・セミナー BibTeX
  23. 23. Uchibe, Eiji and Doya, Kenji, Inverse reinforcement learning by density ratio estimation-US Patent 10,896,382 E Uchibe, K Doya (2021), 2021, Generic BibTeX
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