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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
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