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2. Taisei Sugiyama, Nicolas Schweighofer, *Jun Izawa, Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance, Nature communications, 2023, 14, 3988, reviewed BibTeX
3. *Tsuyuzaki, K., Yamamoto, K., Toyoshima, Y., Sato, H., Kanamori, M., Teramoto, T., Ishihara, T., Iino, Y., and Nikaido, I., WormTensor: a clustering method for time-series whole-brain activity data from C. elegans., BMC Bioinformatics, 2023, 24, 254, reviewed BibTeX
4. *Yoshizawa T, Ito M, Doya K, Neuronal Representation of a Working Memory-Based Decision Strategy in the Motor and Prefrontal Cortico-Basal Ganglia Loops, eNeuro, 2023, 10, 6, 0413-22, reviewed, Open access BibTeX
5. *Fung Chi Chung Alan、*Fukai Tomoki, Competition on Presynaptic Resources Enhances the Discrimination of Interfering Memories, PNAS Nexus, 2023, 2, 6, online journal BibTeX
6. *Fung C.C.A, *Fukai T, Competition on Presynaptic Resources Enhances the Discrimination of Interfering Memories, PNAS Nexus, 2023, 2, 6, ad161, online journal BibTeX
7. *Nishioka T, Attachaipanich S, Hamaguchi K, Lazarus M, de Kerchove d’Exaerde A, *Macpherson T, *Hikida T, Error-related signaling in nucleus accumbens D2 receptor-expressing neurons guides inhibition-based choice behavior in mice, Nature Communications, 2023, 14, 1, 2284, reviewed#& BibTeX
8. Nishioka, Tadaaki, Attachaipanich, Suthinee, Hamaguchi, Kosuke, Lazarus, Michael, de Kerchove d’Exaerde, Alban, Macpherson, Tom, Hikida, Takatoshi, Error-related signaling in nucleus accumbens D2 receptor-expressing neurons guides inhibition-based choice behavior in mice, Nature Communications, 2023, 14, 2284, reviewed# BibTeX
9. Nakamura D, *Gomi H, Decoding self-motion from visual image sequence predicts distinctive features of reflexive motor responses to visual motion, Neural Networks, 2023, 162, 516-530, open access: https://doi.org/10.1016/j.neunet.2023.03.020.BibTeX
10. *Yuya Kobayashi, Masahiro Suzuki, Yutaka Matsuo, Learning global spatial information for multi-view object-centric models, Advanced Robotics, 2023, 37, 8, reviewed BibTeX
11. *Tomoki Fukai, Computational models of Idling brain activity for memory processing. In NSR special issue “The idling brain in cognition”, Neuroscience Research, 2023, 189, 75-87, review airticle, Epub ahead of print on 2022/12/30 BibTeX
12. *Fukai T , Computational models of Idling brain activity for memory processing. In NSR special issue “The idling brain in cognition”, Neuroscience Research, 2023, 189, 75-87, review airticle, Epub ahead of print on 2022/12/30 BibTeX
13. Oguchi M, Li Y, Matsumoto Y, Kiyonari T, Yamamoto K, Sugiura S, Sakagami M*, Proselfs depend more on model-based than model-free learning in a non-social probabilistic state-transition task, Scientific Reports, 2023, 13, 1, reviewed BibTeX
14. *Abekawa N, Doya K, Gomi H, Body and visual instabilities functionally modulate implicit reaching corrections, iSience, 2023, 26, 1, 105751 BibTeX
15. Orlandi J.G., Abdolrahmani M, Aoki R, Lyamzin D.R., *Benucci A, Distributed context-dependent choice information in mouse dorsal-parietal cortex, Nature Communications, 2023, 14, 1, 192, reviewed BibTeX
16. Inagaki M, Inoue K, Tanabe S, Kimura K, Takada M, Fujita I, Morphological changes of large layer V pyramidal neurons in cortical motor-related areas after spinal cord injury in macaque monkeys.., Cereb Cortex, 2023, 33, 895-915, reviewed BibTeX
17. Abekawa N, Doya K, *Gomi H, Body and visual instabilities functionally modulate implicit reaching corrections, iScience, 2023, 26, 1, 105751, DOI:https://doi.org/10.1016/j.isci.2022.105751BibTeX
18. *Jun Izawa, Noriyuki Higo, Yumi Murata, Accounting for the valley of recovery during post-stroke rehabilitation training via a model-based analysis of macaque manual dexterity, Frontiers in rehabilitation sciences, 2022, 3, 1042912, reviewed BibTeX
19. Hamaguchi K, Aoki-Takahashi H, Watanabe D, Prospective and retrospective values integrated in frontal cortex drive predictive choice, Proceedings of the National Academy of Sciences, 2022, 119, e2206067119, reviewed# BibTeX
20. Cheng, D., Lee, J.S., Brown, M., Ebert, M.S., McGrath, P.T., Tomioka, M., Iino, Y., and *Bargmann, C.I., Insulin/IGF signaling regulates presynaptic glutamate release in aversive olfactory learning, Cell Rep, 2022, 41, 8, 111685, reviewed BibTeX
21. Tanaka H, Shou Q, Kiyonari T, Matsuda T, Sakagami M, Takagishi H*, Right dorsolateral prefrontal cortex regulates default prosociality preference, Cerebral Cortex, 2022, 33, 1, 5420-5425, reviewed BibTeX
22. Taisei Sugiyama, Keita Nakae, *Jun Izawa, Transcranial magnetic stimulation on the dorsal premotor cortex facilitates human visuomotor adaptation, NeuroReport, 2022, 33, 16, 723-727, reviewed BibTeX
23. *Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui, Context limitations make neural language models more human-like, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, Long Paper, 10421-10436, reviewed BibTeX
24. *Ryo Yoshida, Yohei Oseki, Composition, attention, or both?, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, Findings, 5822-5834, reviewed BibTeX
25. Mabardi, L., Sato, H., Toyoshima, Y., *Iino, Y., and *Kunitomo, H., Different modes of stimuli delivery elicit changes in glutamate driven, experience-dependent interneuron response in C. elegans, Neurosci Res, 2023, 186, 33-42, reviewed BibTeX
26. Yoshida R, Takamori M, Matsumoto H, *Miura K, Tropical support vector machines: Evaluations and extension to function spaces, Neural Networks, 2022, 157, 77-89, reviewed BibTeX
27. *Lalande F, Trani A, Predicting the stability of hierarchical triple systems with convolutional neural networks, The Astrophysical Journal, 2022, 938, 18, Research article BibTeX
29. Fermin ASR*, Kiyonari T, Matsumoto Y, Takagishi H, Li Y, Kanai R, Sakagami M, Akaishi R, Ichikawa N, Takamura M, Yokoyama S, Machizawa MG, Chan HL, Matani A, Yamawaki S, Okada G, Okamoto Y, Yamagishi T, The neuroanatomy of social trust predicts depression vulnerability, Scientific Reports, 2022, 12, 1, reviewed BibTeX
30. Yihao Wu, Masahiko Morita, *Jun Izawa, Reward prediction errors, not sensory prediction errors, play a major role in model selection in human reinforcement learning, Neural Networks, 2022, 154, 109-121, reviewed BibTeX
32. Lucas Rebelo Dal’Bello, *Jun Izawa, Computational role of exploration noise in error-based de novo motor learning, Neural Networks, 2022, 153, 349-372, reviewed BibTeX
33. *Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo., World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator, Advanced Robotics, 2022, 36, 17－18, 850-869, reviewed BibTeX
34. *Doya K (Guest Editors), Friston K, Sugiyama M,Tenenbaum J, Neural Networks special issue on Artificial Intelligence and Brain Science, Neural Networks, 2022, 155, 328-329, Editorial BibTeX
35. *Hongjie Bi and Tomoki Fukai, Amplitude-mediated chimera states in nonlocally coupled Stuart-Landau oscillators., Chaos, 2022, 32, 83125, reviewed BibTeX
36. *Bi H, Fukai T, Amplitude-mediated chimera states in nonlocally coupled Stuart-Landau oscillators., Chaos, 2022, 32, 83125, reviewed BibTeX
37. *Ozawa T+, Kaseda K+, Ichitani Y, Yamada K, Caffeine facilitates extinction of auditory fear conditioning in rats, Neuropsychopharmacology Reports, 2022, 42, 4, 521-525, reviewed BibTeX
38. *Rikunari Sagara, Ryo Taguchi, Akira Taniguchi, Tadahiro Taniguchi, Automatic Selection of Coordinate Systems for Learning Relative and Absolute Spatial Concepts, Frontiers in Robotics and AI, 2022, 9 BibTeX
39. Kei Oyama+, Yukiko Hori+, Koki Mimura+, Yuji Nagai, Mark AG Eldridge, Richard C Saunders, Naohisa Miyakawa, Toshiyuki Hirabayashi, Yuki Hori, Ken-ichi Inoue, Tetsuya Suhara, Masahiko Takada, Makoto Higuchi, Barry J Richmond, Takafumi Minamimoto*, Chemogenetic disconnection between the orbitofrontal cortex and the rostromedial caudate nucleus disrupts motivational control of goal-directed action, Journal of Neuroscience, 2022, 42, 32, 6267-6275, reviewed BibTeX
40. *Hamasaki Y, Pionnié-Dax N, Dorard G, Tajan N, Hikida T, Preliminary study of the social withdrawal (hikikomori) spectrum in French adolescents: focusing on the differences in pathology and related factors compared with Japanese adolescents, BMC Psychiatry, 2022, 22, 1, 477, reviewed BibTeX
41. Aomine Y, Sakurai K, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Oka M, *Hikida T, Importin α3 (KPNA3) deficiency augments effortful reward-seeking behavior in mice, Frontiers in Neuroscience, 2022, 16, 905991, reviewed BibTeX
42. *Macpherson T+, Kim JY+ and *Hikida T, Nucleus accumbens core dopamine D2 receptor-expressing neurons control reversal learning but not set-shifting in behavioral flexibility in male mice, Frontiers in Neuroscience, 2022, 16, 885380, reviewed BibTeX
43. *Suzuki S, Takeda S, Makishima N, Ando A, Shouno H, Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations, IEEE Access, 2022, 10, 68384-68396 BibTeX
44. *Toshitake Asabuki, Prajakta Kokate and Tomoki Fukai, Neural circuit mechanisms of hierarchical sequence learning tested on large-scale recording data., PLOS Computational Biology, 2022, 18, e1010214, reviewed BibTeX
46. Hiroki, S., Yoshitane, H., Mitsui, H., Sato, H., Umatani, C., Kanda, S., Fukada, Y., and *Iino, Y., Molecular encoding and synaptic decoding of context during salt chemotaxis in C. elegans, Nat Commun, 2022, 13, 1, e2928, reviewed BibTeX
47. Oguchi M, Sakagami M*, Dissecting the Prefrontal Network With Pathway-Selective Manipulation in the Macaque Brain—A Review, Frontiers in Neuroscience, 2022, 16, reviewed BibTeX
48. *Doya K, Ema A, Kitano H, Sakagami M, Russell S, Social impact and governance of AI and neurotechnologies, Neural Networks, 2022, 152, 542-554, Perspective article BibTeX
50. Doya, K*., Ema, A., Kitano, H., Sakagami, M. Russell, S., Social impact and governance of AI and neurotechnologies, Neural Networks, 2022, 152, 542-554, reviewed BibTeX
51. Mori, K., Koebis, M., Nakao, K., Kobayashi, S., Kiyama, Y., Watanabe, M., Manabe, T., Iino, Y., and *Aiba, A., Loss of calsyntenin paralogs disrupts interneuron stability and mouse behavior, Mol Brain, 2022, 15, 1, 23, reviewed BibTeX
52. Uchida Y, *Hikida T, *Yamashita Y, Computational mechanisms of osmoregulation: a reinforcement learning model for sodium appetite, Frontiers in Neuroscience, 2022, 16, 857009, reviewed&# BibTeX
53. *Giorgia Dellaferrera, Toshitake Asabuki and Tomoki Fukai, Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons., Frontiers in Neuroscience, 2022, 16, 855753, reviewed BibTeX
54. *Dellaferrera G, Asabuki T, Fukai T, Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons., Frontiers in Neuroscience, 2022, 16, 855753, reviewed BibTeX
55. Matsuo Y, Lecun Y, Sahani M, Precup D, Silver D, Sugiyama M, Uchibe E, *Morimoto, J, Deep learning, reinforcement learning, and world models, Neural Networks, 2022, 152, 267-275, reviewed BibTeX
56. *Ito J, Joana C, Yamane Y, Fujita I, Tamura H, Maldonado P, Grün S, Latency shortening with enhanced sparseness and responsiveness in V1 during active visual sensing, Scientific Reports, 2022, 12, 6021, Research BibTeX
58. Ike, Y., *Tomioka, M., and *Iino, Y., Involvement of HECT-type E3 ubiquitin ligase genes in salt chemotaxis learning in Caenorhabditis elegans, Genetics, 2022, 220, 4, iyac025, reviewed BibTeX
59. *Fehring DJ, Pascoe AJ, Haque ZZ, Samandra R, Yokoo S, Abe H, Rosa MGP, Tanaka K, Yamamori T, Mansouri FA., Dimension of visual information interacts with working memory in monkeys and humans, Scientific Report, 2022, 12, 1, 5335, reviewed BibTeX
61. Nishina K, Shou Q, Takahashi H, Sakagami M, Inoue-Murayama M, Takagishi H*, Association Between Polymorphism (5-HTTLPR) of the Serotonin Transporter Gene and Behavioral Response to Unfair Distribution, Frontiers in Behavioral Neuroscience, 2022, 16, reviewed BibTeX
62. *Benucci, A., Motor-related signals support localization invariance for stable visual perception, Plos Comp. Biol., 2022, 18, 3, e1009928, Accepted BibTeX
63. Hiroyuki Miyawaki, Kenji Mizuseki, De novo inter-regional coactivations of preconfigured local ensembles support memory, Nature Communications, 2022, 13, 1, 1272 BibTeX
64. *Taniguchi T, Yamakawa H, Nagai T, Doya K, Sakagami M, Suzuki M, Nakamura T, Taniguchi A, A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots, Neural Networks, 2022, 150, 293-312, Review BibTeX
65. *Masahiro Suzuki, Yutaka Matsuo, A survey of multimodal deep generative models, Advanced Robotics, 2022, 36, 261–278, reviewed BibTeX
66. Umeda R, Teranishi H, Hada K, Shimizu N, Shiraishi H, Shaohong L, Shide M, Higa R, Shikano K, Shin T, Mimata H, Hikida T, Hanada T, *Hanada R., Vrk2 deficiency elicits aggressive behavior in female zebrafish, Genes to Cells, 2022, 27, 4, 254-265, reviewed BibTeX
67. Jaaro-Peled H, Kumar S, Hughes D, Sumitomo A, Kim S-H, Zoubovsky S, Hirota-Tsuyada Y, Zala D, Bruyere J, Katz B, Huang B, Flores R, Narayan S, Hou Z, Economides A, Hikida T, Wetsel W, Deisseroth K, Mori S, Brandon N, Tanaka M, Ishizuka K, Houslay M, Saudou F, *Dzirasa K, *Sawa A, *Tomoda T, Regulation of sensorimotor gating via Disc1/Huntingtin-mediated Bdnf transport in the cortico-striatal circuit, Molecular Psychiatry, 2022, 27, 3, 1805-1815, reviewed BibTeX
68. *Yuki Katsumata, Akinori Kanechika, Akira Taniguchi, Lotfi El Hafi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, Map completion from partial observation using the global structure of multiple environmental maps, Advanced Robotics, 2022, 36, 279-290, DOI: 10.1080/01691864.2022.2029762 BibTeX
69. *Ryo Yoshida, Yohei Oseki, Learning argument structures with recurrent neural network grammars, Proceedings of the Society for Computation in Linguistics (SCiL), 2022, Long Paper, 101-111, reviewed BibTeX
70. Hiroki, S., and Iino, Y., The redundancy and diversity between two novel PKC isotypes that regulate learning in Caenorhabditis elegans, Proc Natl Acad Sci U S A, 2022, 119, 3, e2106974119, reviewed BibTeX
71. *Matsumoto M, Abe H, Tanaka K, Matsumoto K, Different types of uncertainty distinguished by monkey prefrontal neurons, Cerebral Cortex Communications, 2022, 3, 1-17, reviewed BibTeX
72. *Tomioka, M., Jang, M.S., and Iino, Y., DAF-2c signaling promotes taste avoidance after starvation in Caenorhabditis elegans by controlling distinct phospholipase C isozymes, Commun Biol, 2022, 5, 1, 30, reviewed BibTeX
73. *Mansouri FA, Buckley MJ, Tanaka K, The neural substrate and underlying mechanisms of executive control fluctuations in primates, Progress in Neurobiology, 2022, 209, 102216, reviewed BibTeX
74. Ide, S., Kunitomo, H., Iino, Y., and Ikeda, K., Caenorhabditis Elegans Exhibits Morphine Addiction-like Behavior via the Opioid-like Receptor NPR-17, Front Pharmacol, 2022, 12, 802701, reviewed BibTeX
75. *Onitsuka T, Hirano Y, Nemoto K, Hashimoto N, Kushima I, Koshiyama D, Koeda M, Takahashi T, Noda Y, Matsumoto J, Miura K, Nakazawa T, Hikida T, Kasai K, Ozaki N, *Hashimoto R, Trends in big data analyses by multicenter collaborative translational research in psychiatry, Psychiatry and Clinical Neurosciences, 2022, 76, 1, 1-14, reviewed BibTeX
77. Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda, Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities, Neural Networks, 2022, 145, 356-373, reviewed BibTeX
78. *Shingo Shimoda, Lorenzo Jamone, Dimitri Ognibene, Takayuki Nagai, Alessandra Sciutti, Alvaro Costa-Garcia, Yohei Oseki, Tadahiro Taniguchi, What is the role of the next generation of cognitive robotics?, Advanced Robotics, 2022, 36, 3-16, reviewed BibTeX
79. Sato, H., Kunitomo, H., Fei, X., Hashimoto, K., and *Iino, Y., Simultaneous recording of behavioral and neural responses of free-moving nematodes, STAR Protoc, 2021, 2, 4, 101011, reviewed BibTeX
80. Ryota Ishikawa, Saho Ayabe-Kanamura, *Jun Izawa, The role of motor memory dynamics in structuring bodily self-consciousness, Iscience, 2021, 24, 12, 103511, reviewed BibTeX
81. *Tomoki Fukai, Toshitake Asabuki and Tatsuya Haga, Neural mechanisms for learning hierarchical structures of information., Current Opinion in Neurobiology, 2021, 70, 145-153, reviewed BibTeX
82. *Fukai T, Asabuki T, Haga T, Neural mechanisms for learning hierarchical structures of information., Current Opinion in Neurobiology, 2021, 70, 145-153, reviewed BibTeX
83. *Hirai S, Miwa H, Tanaka T, Toriumi K, Kunii Y, Shimbo H, Sakamoto T, Hino M, Izumi R, Nagaoka A, Yabe H, Nakamachi T, Shioda S, Dan T, Miyata T, Nishito Y, Suzuki K, Miyashita M, Tomoda T, Hikida T, Horiuchi J, Itokawa M, Arai M, *Okado H, High Sucrose Diets Contribute to Brain Angiopathy with Impaired Glucose Uptake, and Psychosis-related Higher Brain Dysfunctions in Mice, Science Advances, 2021, 7, 46, eabl6077, reviewed BibTeX
84. 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
86. *Langdon A, Botvinick M, Nakahara H, Tanaka K, Matsumoto M, Kanai R, Meta-learning, social cognition and consciousness in brains and machines, Neural Networks, 2021, 145, 80-89, reviewed BibTeX
87. Mori, K., Yamauchi, N., Wang, H., Sato, K., Toyoshima, Y., and *Iino, Y., Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior, Neural Netw, 2021, 145, 107-120, reviewed BibTeX
88. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, *Hikida T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control, Neural Networks, 2021, 144, 507-521, reviewed# BibTeX
89. Macpherson T, Churchland A, Sejnowski A, DiCarlo J, Kamitani Y, Takahashi H, *Hikida T, Natural and Artificial Intelligence: a brief introduction to the interplay between AI and neuroscience research, Neural Networks, 2021, 144, 603-613, reviewed# BibTeX
90. Tanaka S, Taylor JE, Sakagami M*, The effect of effort on reward prediction error signals in midbrain dopamine neurons, Current Opinion in Behavioral Sciences, 2021, 41, 152-159, reviewed BibTeX
91. Lucas Rebelo Dal’Bello, *Jun Izawa, Task-relevant and task-irrelevant variability causally shape error-based motor learning, Neural Networks, 2021, 142, 583-596, reviewed BibTeX
92. Macpherson T, Churchland A, Sejnowski A, DiCarlo J, Kamitani Y, Takahashi H, *Hikida T, Natural and Artificial Intelligence: a brief introduction to the interplay between AI and neuroscience research, Neural Networks, 2021, 144, 603-613, reviewed#& BibTeX
93. Mimura K, Nagai Y, Inoue K, Matsumoto J, Hori Y, Sato C, Kimura K, Okauchi T, Hirabayashi T, Nishijyo H, Yahata N, Takada M, Suhara T, Higuchi M, *Minamimoto T, Chemogenetic activation of nigrostriatal dopamine neurons in freely moving common marmosets., iScience, 2021, 24, 103066, reviewed BibTeX
94. Koki Mimura, Yuji Nagai, Ken-ichi Inoue, Jumpei Matsumoto, Yukiko Hori, Chika Sato, Kei Kimura, Takashi Okauchi, Toshiyuki Hirabayashi, Hisao Nishijo, Noriaki Yahata, Masahiko Takada, Tetsuya Suhara, Makoto Higuchi, Takafumi Minamimoto*, Chemogenetic activation of nigrostriatal dopamine neurons in freely moving common marmosets, iScience, 2021, 24, 9, 103066, reviewed&# BibTeX
95. *Hamasaki Y, Pionnié-Dax N, Dorard G, Tajan N, Hikida T, Identifying Social Withdrawal (Hikikomori) Factors in Adolescents: Understanding the Hikikomori Spectrum, Child Psychiatry & Human Development, 2021, 52, 5, 808-817, reviewed BibTeX
96. 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.2021.09.011BibTeX
98. *Doya K, Canonical cortical circuits and the duality of Bayesian inference and optimal control, Current Opinion in Behavioral Sciences, 2021, 41, 160-167, Review BibTeX
99. Morisaki I, Shiraishi H, Fujinami H, Shimizu N, Hikida T, Arai Y, Kobayashi T, Hanada R, Penninger JM, Fujiki M, *Hanada T, Modeling a human CLP1 mutation in mouse identifies an accumulation of tyrosine pre-tRNA fragments causing pontocerebellar hypoplasia type 10, Biochemical and Biophysical Research Communications, 2021, 570, 60-66, reviewed BibTeX
100. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, *Hikida T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control, Neural Networks, 2021, 144, 507-521, reviewed#& BibTeX
101. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, *Hikida, T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control, Neural Networks, 2021, 144, 507-521, reviewed BibTeX
102. 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
106. *Uchibe E, Doya K, Forward and inverse reinforcement learning sharing network weights and hyperparameters, Neural Networks, 2021, 144, 138-153, Research BibTeX
107. *Suzuki S, Takeda S, Takagi M, Tanida R, Kimata H, Shouno H, Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32, 6, 3934-3946 BibTeX
108. Oguchi M, Jiasen J, Yoshioka T, Tanaka YR, Inoue K, Takada M, Kikusui T, Nomoto K, Sakagami M*, Microendoscopic calcium imaging of the primary visual cortex of behaving macaques, Scientific Reports, 2021, 11, 1, reviewed BibTeX
109. *Tatsuya Haga and *Tomoki Fukai, Multiscale representations of community structures in attractor neural networks., PLOS Computational Biology, 2021, 17, 8, e1009296, reviewed BibTeX
110. *Haga T, *Fukai T, Multiscale representations of community structures in attractor neural networks., PLOS Computational Biology, 2021, 17, 8, e1009296, reviewed BibTeX
111. 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
112. *Uchibe E, Doya K, Forward and inverse reinforcement learning sharing network weights and hyperparameters, Neural Networks, 2021, 144, 138-153, reviewed BibTeX
113. 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
114. 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
115. 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
116. 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
117. 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
118. *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
119. *Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo, Information-theoretic regularization for learning global features by sequential VAE, Machine Learning, 2021, 110, 2239–2266, reviewed BibTeX
120. *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
121. 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
122. 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
123. *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
124. *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.2021.03.048BibTeX
125. *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
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358. *Koji Ishihara, Jun Morimoto, An optimal control strategy for hybrid actuator systems: application to an artificial muscle with electric motor assist, Neural Networks, 2018, 99, 92-100, reviewed&# BibTeX
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371. Fan H, Pan X*, Wang R, Sakagami M, Differences in reward processing between putative cell types in primate prefrontal cortex, PLoS ONE, 2017, 12, 12, e0189771, reviewed&# BibTeX
372. K. Fujita, S. Shinomoto, and L.E.C. Rocha, Correlations and forecast of death tolls in the Syrian conflict, Scientific Reports, 2017, 7, 15737, reviewed & BibTeX
373. *Takashi Ikegami, Yoh-ichi Mototake, Shintaro Kobori, Mizuki Oka, Yasuhiro Hashimoto, Life as an emergent phenomenon: studies from a large-scale boid simulation and web data, Phil.Roy.Soc, 2017, reviewed BibTeX
374. Fujiwara, Yusuke, Jongho Lee, Takahiro Ishikawa, Shinji Kakei, and (*)Jun Izawa, Diverse coordinate frames on sensorimotor areas in visuomotor transformation, Scientific reports, 2017, 7, 1, 14950, reviewed& BibTeX
376. Yamagishi T*, Li Y, Fermin A, Kanai R, Takagishi H, Matsumoto Y, Kiyonari T, Sakagami M, Behavioural Differences and Neural Substrates of Altruistic and Spiteful Punishment, Scientific Reports, 2017, 7, 1, 14654, reviewed& BibTeX
377. Kubota M, Nagashima T, Takano H, Kodaka F, Fujiwara H, Takahata K, Moriguchi S, Kimura Y, Higuchi M, Okubo Y, Takahashi H, Ito H, ＊Suhara T, Affinity States of Striatal Dopamine D2 Receptors in Antipsychotic-Free Patients with Schizophrenia., Int J Neuropsychopharmacol. , 2017, 20, 11, 928-935, reviewed BibTeX
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380. *Hiratani N, Fukai T, Detailed dendritic excitatory/inhibitory balance through heterosynaptic spike-timing-dependent plasticity, The Journal of Neuroscience, 2017, 37, 50, 12106-12122, reviewed BibTeX
381. Aoki R, Tsubota T, Goya Y, *Benucci A, An automated platform for high-throughput mouse behavior and physiology with voluntary head-fixation, Nature Communications, 2017, 8, 1, 1196, reviewed BibTeX
382. *Atsushi Masumori, Norihiro Maruyama, Takeshi Mita, Douglas Bakkum, Urs Frey, Hirokazu Takahashi, Takashi Ikegami, Learning by Stimulation Avoidance in Cultured Neuronal Cells, Proc of the 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2017), 2017, 1, 279-286, reviewed BibTeX
383. Fujino J, Tei S, Jankowski KF, Kawada R, Murai T, *Takahashi H., Role of Spontaneous Brain Activity in Explicit and Implicit Aspects of Cognitive Flexibility under Socially Conflicting Situations: A Resting-state fMRI Study using Fractional Amplitude of Low-frequency Fluctuations., Neuroscience, 2017, 367, 60-71, reviewed# BibTeX
384. Hashimoto H, Hasegawa Y, Araki T, Sugata H, Yanagisawa T, Yorifuji S, Hirata M., Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG., Scientific Reports, 2017, 7, 1, 14262, reviewed& BibTeX
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387. *Hiroki Kojima, Tom Froese, Mizuki Oka, Hiroyuki Iizuka, Takashi Ikegami, A Sensorimotor Signature of the Transition to Conscious Social Perception: Co-regulation of Active and Passive Touch, Frontiers in Psychology, 2017, reviewed BibTeX
388. Kinjo K, *Uchibe E, Doya K, Robustness of linearly solvable Markov games employing inaccurate dynamics model, Artificial Life and Robotics, 2017, 23, 1-9, reviewed BibTeX
389. Yamada T, Hashimoto RI, Yahata N, Ichikawa N, Yoshihara Y, Okamoto Y, Kato N, Takahashi H, *Kawato M, Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers, Int J Neuropsychopharmacol, 2017, 20, 769-781, reviewed& BibTeX
390. *Komatsu M, Sugano E, Tomita H, *Fujii N, A chronically implantable bidirectional neural interface for non-human primates, Frontiers in neuroscience, 2017, 11, 514, reviewed# BibTeX
391. *Uchibe, E, Model-Free Deep Inverse Reinforcement Learning by Logistic Regression, Neural Processing Letters, 2017, 47, 891-905, reviewed BibTeX
392. *Itsuki Doi, Takashi Ikegami, Atsushi Masumori, Hiroki Kojima, Kohei Ogawa, Hiroshi Ishiguro, A new design principle for an autonomous robot, Proc of the 14th European Conference on Artificial Life (ECAL2017), 2017, 1, 490-496, reviewed BibTeX
393. *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, 1, 380-387, reviewed BibTeX
394. *Atsushi Masumori, Lana Sinapayen, Takashi Ikegami, Learning by stimulation avoidance scales to large neural networks, Proc of the 14th European Conference on Artificial Life (ECAL2017), 2017, 1, 275-282, reviewed BibTeX
395. Matsumoto Y, Takahashi H, Miyata J, Sugihara G, Murai T, ＊Takahashi H., Neural basis of altered earlier attention and higher order biological motion processing in schizophrenia, Soc Neurosci, 2017, 13, 594-601, reviewed＃ BibTeX
396. Fujino J, Tei S, Hashimoto RI, Itahashi T, Ohta H, Kanai C, Okada R, Kubota M, Nakamura M, Kato N, *Takahashi H., Attitudes toward risk and ambiguity in patients with autism spectrum disorder, Mol Autism, 2017, 8, 45, reviewed&# BibTeX
397. Saito N, Takahata K, Yamakado H, Sawamoto N, Saito S, Takahashi R, Murai T, ＊Takahashi H., Altered awareness of action in Parkinson’s disease: evaluations by explicit and implicit measures, Sci Rep, 2017, 7, 1, 8019, reviewed＃ BibTeX
398. *Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto, EMG-based model predictive control for physical human-robot interaction: Application for assist-as-needed control, IEEE Robotics and Automation Letters(RA-L), 2017, 3, 1, 210-217, reviewed# BibTeX
399. Izutsu N, Kinoshita M, Yanagisawa T, Nakanishi K, Sakai M, Kishima H., Preservation of Motor Function After Resection of Lower-Grade Glioma at the Precentral Gyrus and Prediction by Presurgical Functional Magnetic Resonance Imaging and Magnetoencephalography., World Neurosurg., 2017, 17, 31252-4, reviewed& BibTeX
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401. Shioda N, Yabuki Y, Wang Y, Uchigashima M, Hikida T, Sasaoka T, Mori H, Watanabe M, Sasahara M, Fukunaga K, Endocytosis following dopamine D2 receptor activation is critical for neuronal activity and dendritic spine formation via Rabex-5/PDGFRβ signaling in striatopallidal medium spiny neurons, Molecular Psychiatry, 2017, 22, 8, 1205-1222, reviewed BibTeX
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403. Tei S, Fujino J, Kawada R, Jankowski KF, Kauppi JP, van den Bos W, Abe N, Sugihara G, Miyata J, Murai T, ＊Takahashi H., Collaborative roles of Temporoparietal Junction and Dorsolateral Prefrontal Cortex in Different Types of Behavioural Flexibility., Sci Rep, 2017, 7, 1, 6415, reviewed＃ BibTeX
404. Tei S, Fujino J, Kawada R, Jankowski KF, Kauppi JP, van den Bos W, Abe N, Sugihara G, Miyata J, Murai T, *Takahashi H., Collaborative roles of Temporoparietal Junction and Dorsolateral Prefrontal Cortex in Different Types of Behavioural Flexibility, Sci Rep, 2017, 7, 6415, reviewed& BibTeX
405. Abe H, Tani T, Mashiko H, Kitamura N, Miyakawa N, Mimura K, Sakai K, Suzuki W, Kurotani T, Mizukami H, Watakabe A, Yamamori T, Ichinohe N*, 3D reconstruction of brain section images for creating axonal projection maps in marmosets., J Neurosci Methods, 2017, 286, 102-103, reviewed BibTeX
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410. Murao E, Sugihara G, Isobe M, Noda T, Kawabata M, Matsukawa N, Takahashi H, Murai T,*Noma S., Differences in neural responses to reward and punishment processing between anorexia nervosa subtypes: An fMRI study, Psychiatry Clin Neurosci, 2017, 71, 9, 647-658, reviewed&# BibTeX
411. Yamagishi T*, Matsumoto Y, Kiyonari T, Takagishi H, Li Y, Kanai R, Sakagami M., Response time in economic games reflects different types of decision conflict for prosocial and proself individuals., Proceedings of National Academy of Sciences U.S.A, 2017, 114, 24, 6394-6399, reviewed& BibTeX
412. *Saga Y, Nakayama Y, Inoue K, Yamagata T, Hashimoto M, Tremblay L, Takada M, Hoshi E, Visuomotor signals for reaching movements in the rostro-dorsal sector of the monkey thalamic reticular nucleus., Eur J Neurosci, 2017, 45, 1186-1199, reviewed BibTeX
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416. Sumitomo A, Ueta K, Horike K, Mauchi S, Hirai K, Hikida T, Sakurai T, Sawa A, Tomoda T, Ulk1 protects against ethanol-induced neuronal stress and cognition-related behavioral deficits, Neuroscience Research, 2017, 117, 54-61, reviewed# BibTeX
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420. Son S, *Miyata J, Mori Y, Isobe M, Urayama SI, Aso T, Fukuyama H, Murai T, Takahashi H., Lateralization of intrinsic frontoparietal network connectivity and symptoms in schizophrenia., Psychiatry Res Neuroimaging, 2017, 260, 23-28, reviewed BibTeX
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422. *Lana Sinapayen, Atsushi Masumori, Takashi Ikegami, Learning by stimulation avoidance: A principle to control spiking neural networks dynamics., PLoS ONE, 2017, reviewed BibTeX
423. *Hailong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito, Takenaka and; Takashi Bando, Visualization of driving behavior based on hidden feature extraction by using deep learning, IEEE Transactions on Intelligent Transportation Systems, 2017, 1-13, reviewed BibTeX
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427. Takeuchi H, Kawada R, Tsurumi K, Yokoyama N, Takemura A, Murao T, Murai T, ＊Takahashi H., Heterogeneity of Loss Aversion in Pathological Gambling., J Gambl Stud, 2016, 32, 4, 1143-1154, reviewed＃ BibTeX
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430. Aotani D, Son C, Shimizu Y, Nomura H, Hikida T, Kusakabe T, Tanaka T, Miyazawa T, Hosoda K, Nakao K, Reevaluation of anti-obesity action of mazindol and elucidation of its effect on the reward system, Neuroscience Letters, 2016, 633, 141-145, reviewed# BibTeX
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433. Fujino J, Fujimoto S, Kodaka F, Camerer CF, Kawada R, Tsurumi K, Tei S, Isobe M, Miyata J, Sugihara G, Yamada M, Fukuyama H, Murai T, *Takahashi H., Neural mechanisms and personality correlates of the sunk cost effect., Sci Rep, 2016, 6, 33171, reviewed&# BibTeX
434. Wan X, Cheng K, *Tanaka K, The neural system of postdecision evaluation in rostral frontal cortex during problem-solving tasks, eNeuro, 2016, 3, 4, 0188-16, reviewed BibTeX
435. Kameda T*, Inukai K, Higuchi S, Ogawa A, Kim H, Matsuda T, Sakagami M , Rawlsian maximin rule operates as a common cognitive anchor in distributive justice and risky decisions , Proceedings of the National Academy of Sciences of the United States of America , 2016, 113, 42, 11817-11822, reviewed& BibTeX
436. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Nucleus accumbens dopamine D2-receptor expressing neurons control behavioral flexibility in a place discrimination task in the IntelliCage, Learning & Memory, 2016, 23, 7, 359-364, reviewd BibTeX
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438. Fujimoto A, *Takahashi H., Flexible modulation of risk attitude during decision-making under quota, Neuroimage, 2016, 139, 304-312, reviewed&# BibTeX
439. Zhang Y, Pan X*, Wang R, Sakagami M , Functional connectivity between prefrontal cortex and striatum estimated by phase locking value , Cognitive neurodynamics, 2016, 10, 3, 245-254, reviewed& BibTeX
440. Yahata N, Morimoto J, Hashimoto R, Lisi G, Shibata K, Kawakubo Y, Kuwabara H, Kuroda M, Yamada T, Megumi F, Imamizu H, Náñez JE Sr, Takahashi H, Okamoto Y, Kasai K, Kato N, Sasaki Y, Watanabe T, ＊Kawato M., A small number of abnormal brain connections predicts adult autism spectrum disorder., Nat Commun, 2016, 7, 11254, reviewed BibTeX
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