研究成果
カテゴリ
発表年

国際雑誌論文

  1. 1. 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
  2. 2. Takeuchi H, Tsurumi K, Murao T, Takemura A, Kawada R, Urayama SI, Aso T, Sugihara GI, Miyata J, Murai T, *Takahashi H., Common and differential brain abnormalities in gambling disorder subtypes based on risk attitude., Addict Behav., 2017 , 69, 48-54, reviewed# BibTeX
  3. 3. 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, 2017 , 260, 23-28, reviewed# BibTeX
  4. 4. J De Havas, S Ito, P Haggard, H Gomi, Low gain servo control during the Kohnstamm phenomenon reveals dissociation between low-level control mechanisms for involuntary versus voluntary arm movements, Frontiers in Behavioral Neuroscience , 2018(in press) , 12, 113 BibTeX
  5. 5. Shinya Takamuku, Paul A. G. Forbes, Antonia F. de C. Hamilton, Hiroaki Gomi, Typical use of inverse dynamics in perceiving motion in autistic adults: Exploring computational principles of perception and action, Autism Research, 2018(in press) BibTeX
  6. 6. *Akira Taniguchi, Tadahiro Taniguchi, and Tetsunari Inamura, Unsupervised Spatial Lexical Acquisition by Updating a Language Model with Place Clues, Robotics and Autonomous Systems, 2017 , 99, 166-180, reviewed#, DOI: 10.1016/j.robot.2017.10.013 BibTeX
  7. 7. *HaiLong Liu, Tadahiro Taniguchi, Kazuhito Takenaka and Takashi Bando, Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder, Sensors, 2018 , 18, 2, 608, reviewed#, DOI:10.3390/s18020608 BibTeX
  8. 8. *Honda, H., Fujisaki, I., Matsuka, T., & Ueda, K., Typicality or fluency? A Comparison of two hypotheses about cognitive effects of Japanese script, Experimental Psychology, 2018 , reviewed BibTeX
  9. 9. Kass RE, Amari S, Arai K, Brown EN, Diekman CO, Diesmann M, Doiron B, Eden U, Fairhall A, Fiddyment GM, Fukai T, Grun S, Harrison MT, Helias M, Nakahara H, Teramae J, Thomas PJ, Reimers M, Rodu J, Rotstein HG, Shea-Brown E, Shimazaki H, Shinomoto S, Yu BM, Kramer MA., Computational Neuroscience: Mathematical and Statistical Perspectives, Annual Review of Statistics and Its Application, 2018 , 5, 183-214, reviewed BibTeX
  10. 10. 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 Dec, 367, 60-71, reviewed# BibTeX
  11. 11. Fujimoto A, Tsurumi K, Kawada R, Murao T, Takeuchi H, Murai T, *Takahashi H., Deficit of state-dependent risk attitude modulation in gambling disorder., Transl Psychiatry, 2017 , reviewed# BibTeX
  12. 12. Yokoyama N, Sasaki H, Mori Y, Ono M, Tsurumi K, Kawada R, Matsumoto Y, Yoshihara Y, Sugihara G, Miyata J, Murai T, *Takahashi H., Additive Effect of Cigarette Smoking on Gray Matter Abnormalities in Schizophrenia., Schizophr Bull, 2017 , reviewed# BibTeX
  13. 13. Ono M, Kochiyama T, Fujino J, Sozu T, Kawada R, Yokoyama N, Sugihara G, Murai T, *Takahashi H., Self-efficacy modulates the neural correlates of craving in male smokers and ex-smokers: an fMRI study., Addict Biol, 2017 , reviewed# BibTeX
  14. 14. 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
  15. 15. 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
  16. 16. 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 , reviewed# BibTeX
  17. 17. 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
  18. 18. Sugihara G, Oishi N, Son S, Kubota M, *Takahashi H, Murai T., Distinct Patterns of Cerebral Cortical Thinning in Schizophrenia: A Neuroimaging Data-Driven Approach., Schizophr Bull., 2017 , 43, 4, 900-906, reviewed# BibTeX
  19. 19. 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
  20. 20. Fujimoto A, *Takahashi H., Flexible modulation of risk attitude during decision-making under quota, Neuroimage, 2016 , 139, 304-312, reviewed# BibTeX
  21. 21. 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
  22. 22. Fujino J, Hirose K, Tei S, Kawada R, Tsurumi K, Matsukawa N, Miyata J, Sugihara G, Yoshihara Y, Ideno T, Aso T, Takemura K, Fukuyama H, Murai T, *Takahashi H., Ambiguity aversion in schizophrenia: An fMRI study of decision-making under risk and ambiguity., Schizophr Res, 2016 , 178, 1-3, 94-101, reviewed# BibTeX
  23. 23. 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
  24. 24. 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
  25. 25. *Lana Sinapayen, Atsushi Masumori, Takashi Ikegami, Learning by stimulation avoidance: A principle to control spiking neural networks dynamics., PLoS ONE, 2017 , reviewed BibTeX
  26. 26. *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
  27. 27. *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
  28. 28. Moon Sun Jang, Yu Toyoshima, Masahiro Tomioka, Hirofumi Kunitomo, Yuichi Iino, Multiple sensory neurons mediate starvation-dependent aversive navigation in Caenorhabditis elegans, Proceedings of the National Academy of Sciences of the United States of America, 2019 , 116, 37, 18673-18683 BibTeX
  29. 29. Shingo Tanaka, John P. O’Doherty & Masamichi Sakagami, The cost of obtaining rewards enhances the reward prediction error signal of midbrain dopamine neurons, Nature Communications, 2019 8, 10, 3674, reviewed&# BibTeX
  30. 30. Koki Mimura, Tomofumi Oga, Tetsuya Sasaki, Keiko Nakagaki, Chika Sato, Kayo Sumida, Kohei Hoshino, Koichi Saito, Izuru Miyawaki, Tetsuya Suhara, Ichio Aoki, Takafumi Minamimoto*, Noritaka Ichinohe*, Abnormal axon guidance signals and reduced interhemispheric connection via anterior commissure in neonates of marmoset ASD model, NeuroImage, 2019 July, 195, 243-251, reviewed BibTeX
  31. 31. Chi Chung Alan Fung and Tomoki Fukai, Discrete-attractor-like tracking in continuous attractor neural networks, Phys Rev Lett, 2019 January, 122, 18102, reviewed BibTeX
  32. 32. Anthony Joseph Decostanzo, Chi Chung Alan Fung and Tomoki Fukai, Hippocampal neurogenesis reduces the dimensionality of sparsely coded representations to enhance memory encoding, Front Comput Neurosci , 2019 January, 12, 99, 1-21, reviewed BibTeX
  33. 33. Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond & Shigeru Shinomoto , Reconstructing neuronal circuitry from parallel spike trains, Nature Communications, 2019 Oct, 10, 4468, reviewed# BibTeX
  34. 34. Tomoki Kurikawa, Tatsuya Haga, Takashi Handa, Rie Harukuni and *Tomoki Fukai, Neuronal stability in medial frontal cortex sets individual variability in decision-making, Nature Neuroscience, 2018 November, 21, 1764-1773, reviewed BibTeX
  35. 35. Tomoki Kurikawa, Tatsuya Haga, Takashi Handa, Rie Harukuni & Tomoki Fukai, Neuronal stability in medial frontal cortex sets individual variability in decision-making, Nature Neuroscience, 2018 11, 21, 1764–1773, reviewed# BibTeX
  36. 36. Tatsuya Haga and Tomoki Fukai , Dendritic processing of spontaneous neuronal sequences for single-trial learning, Scientific Reports, 2018 October, 8, 1, 15166, reviewed BibTeX
  37. 37. Toshitake Asabuki, Naoki Hiratani and Tomoki Fukai, Interactive reservoir computing for chunking information streams, PLoS Computational Biology, 2018 October, 14, 10, e1006400, reviewed BibTeX
  38. 38. *Naoki Hiratani and Tomoki Fukai, Redundancy in synaptic connections enables neurons to learn optimally, Proceedings of the National Academy of Sciences of the USA, 2018 July, 115, 29, E6871-E6879, reviewed BibTeX
  39. 39. *Chi Chung Alan Fung and Tomoki Fukai, Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Variability, Scientific Reports, 2018 July, 8, 1, 10680, reviewed BibTeX
  40. 40. Tatsuya Haga and *Tomoki Fukai, Recurrent network model for learning goal-directed sequences through reverse replay, Elife, 2018 July, 7, e34171, reviewed BibTeX
  41. 41. Gonzalo Martín-Vázquez, Toshitake Asabuki, Yoshikazu Isomura and *Tomoki Fukai, Learning Task-Related Activities From Independent Local-Field-Potential Components Across Motor Cortex Layers, Frontiers in Neuroscience, 2018 June, 12, 429, 1-16, reviewed BibTeX
  42. 42. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expressing neurons control the acquisition of sign-tracking to conditioned cues in mice., Frontiers in Neuroscience, 2018 6, 12, 418, reviewed# BibTeX
  43. 43. Takashi Kawai Hiroshi Yamada Nobuya Sato Masahiko Takada *Masayuki Matsumoto, Preferential Representation of Past Outcome Information and Future Choice Behavior by Putative Inhibitory Interneurons Rather Than Putative Pyramidal Neurons in the Primate Dorsal Anterior Cingulate Cortex, Cerebral Cortex, 2018 , rapid online publication, reviewed# BibTeX
  44. 44. Takumi Ege and Keiji Yanai, Image-Based Food Calorie Estimation Using Recipe Information, IEICE Transactions on Information and Systems, 2018 5, E101-D, 5, 1333-1341, reviewed BibTeX
  45. 45. Sumitomo A, Saka A, Ueta K, Horike K, Hirai K, Gamo NJ, Hikida T, Nakayama KI, Sawa A, *Sakurai T, *Tomoda T., Methylphenidate and guanfacine ameliorate ADHD-like phenotypes in Fez1-deficient mice., Molecular Neuropsychiatry, 2018 4, 3, 4, 223–233, reviewed# BibTeX
  46. 46. Fang YY, Yamaguchi T, Song SC, Tritsch NX, *Lin D, A Hypothalamic Midbrain Pathway Essential for Driving Maternal Behaviors., Neuron, 2018 4, 98, 1, 192-207, reviewed BibTeX
  47. 47. Hashimoto H, Hirata M, Takahashi K, Kameda S, Katsuta Y, Yoshida F, Hattori N, Yanagisawa T, Palmer J, Oshino S, Yoshimine T, Kishima H., Non-invasive quantification of human swallowing using a simple motion tracking system., Scientific Reports, 2018 3, 8, 1, 5095, reviewed& BibTeX
  48. 48. *Magrans de Abril I, Yoshimoto J, Doya K, Connectivity inference from neural recording data: Challenges, mathematical bases and research directions, Neural Networks, 2018 , 102, 120-137, reviewed# BibTeX
  49. 49. Hwang J, Kim J, Ahmadi A, Choi M, *Tani J, Dealing with Large-Scale Spatio-Temporal Patterns in Imitative Interaction between a Robot and a Human by Using the Predictive Coding Framework., IEEE Transactions on Systems, Man, and Cybernetics, 2018 , reviewed& BibTeX
  50. 50. *Yoshizawa T, Ito M, Doya K, Reward-predictive neural activities in striatal striosome compartments, eNeuro, 2018 , 5, 1, 0367, reviewed# BibTeX
  51. 51. Ishida H+, Inoue K+, *Takada M, Multisynaptic projections from the amygdala to the ventral premotor cortex in macaque monkeys: Anatomical substrate for feeding behavior., Front Neuroanat., 2018 1, 12, 3, reviewed&# BibTeX
  52. 52. *Peter Bossaerts, Shinsuke Suzuki, John P. O’Doherty, Perception of Intentionality in Investor Attitudes Towards Financial Risks, Journal of Behavioral and Experimental Finance, in press , reviewed BibTeX
  53. 53. *Elfwing S, Uchibe E, Doya K, Sigmoid-weighted linear units for neural network function approximation in reinforcement learning, Neural Networks, 2018 , Special Issue 2017, 17, 30297-6, reviewed# BibTeX
  54. 54. *Koji Ishihara, Jun Morimoto, An optimal control strategy for hybrid actuator systems: application to an artificial muscle with electric motor assist, Neural Networks, 2018 1, 99, 92-100, reviewed&# BibTeX
  55. 55. Stefan Elfwing*, Eiji Uchibe, and Kenji Doya, Sigmoid-weighted linear units for neural network function approximation in reinforcement learning, Neural Networks, 2018 , reviewed# BibTeX
  56. 56. Kang Cheng, Exploration of human visual cortex using high spatial resolution functional magnetic resonance imaging, NeuroImage, 2018 , 164, 4-9, reviewed BibTeX
  57. 57. Choi M, *Tani J, Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model., Neural Computation, 2018 , 30, 1, 237-270, reviewed& BibTeX
  58. 58. *Kentaro Katahira, Yuichi Yamashita, A theoretical framework for evaluating psychiatric research strategies., Computational Psychiatry, 2017 12, 1, 184-207, reviewed&# BibTeX
  59. 59. Nakamura Tomoaki, Nagai Takayuki, Mochihashi Daichi, Kobayashi Ichiro, Asoh Hideki, Kaneko Masahide*., Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes, Frontiers in Neurorobotics, 2017 December, 11, 67, reviewed BibTeX
  60. 60. *Jun Morimoto, Soft humanoid motor learning, Soft humanoid motor learning, 2017 12, 2, eaaq0989, reviewed&# BibTeX
  61. 61. Toshihiko Araki#, Mai Onishi#, Takufumi Yanagisawa*, Masayuki Hirata, Yoshiyuki Watanabe, Soshiro Ogata, Kazu Honda, Mikio Watanabe, Yoshinori Iwatani, Shiro Yorifuji, Frequency-specific genetic influence on inferior parietal lobule activation commonly observed during action observation and execution, Scientific Reports, 2017 12, 7, 1, 17660, reviewed& BibTeX
  62. 62. *Timotej Gaspar, Bojan Nenec,Jun Morimoto,Ales Ude, Skill learning and action recognition by arc-length dynamic movement primitives, Robotics and Autonomous Systems, 2017 12, 100, 225-235, reviewed# BibTeX
  63. 63. Miyajima M, Zhang B, Sugiura Y, Sonomura K, Guerrini MM, Tsutsui Y, Maruya M, Vogelzang A, Chamoto K, Honda K, Hikida T, Ito S, Qin H, Sanuki R, Suzuki K, Furukawa T, Ishihama Y, Matsuda F, Suematsu M, Honjo T, *Fagarasan S, Metabolic shift induced by systemic activation of T cells in PD-1-deficient mice perturbs brain monoamines and emotional behavior., Nature Immunology, 2017 12, 28, 12, 1342-1352, reviewed BibTeX
  64. 64. 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, 12, e0189771, reviewed&# BibTeX
  65. 65. Fujiwara, Yusuke, Jongho Lee, Takahiro Ishikawa, Shinji Kakei, and (*)Jun Izawa, Diverse coordinate frames on sensorimotor areas in visuomotor transformation, Scientific reports, 2017 11, 7, 1, 14950, reviewed& BibTeX
  66. 66. *Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda,Tatsuya Teramae,Jun Morimoto, Learning assistive strategies for exoskeleton robots from user-robot physical interaction, Pattern Recognition Letters, 2017 11, 99, 67-76, reviewed# BibTeX
  67. 67. 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 11, 7, 1, 14654, reviewed& BibTeX
  68. 68. *Galvan A, Stauffer WR, Ackerson L, El-Shamayleh Y, Inoue K, Ohayon S, Schmid M, Nonhuman primate optogenetics: Recent advances and future directions., J Neurosci., 2017 11, 37, 10894-10903, reviewed BibTeX
  69. 69. *Naoki Hiratani and Tomoki Fukai, Detailed dendritic excitatory/inhibitory balance through heterosynaptic spike-timing-dependent plasticity, The Journal of Neuroscience, 2017 October, 37, 50, 12106-12122, reviewed BibTeX
  70. 70. Ken Kinjo, Eiji Uchibe*, and Kenji Doya, Robustness of linearly solvable Markov games employing inaccurate dynamics model, Artificial Life and Robotics, 2018 March, 23, 1, 1-9, reviewed# BibTeX
  71. 71. 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 10, 8, 1, 1196, reviewed BibTeX
  72. 72. 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 10, 7, 1, 14262, reviewed& BibTeX
  73. 73. *Shinsuke Suzuki, Logan Cross and John P. O’Doherty, Elucidating the underlying components of food valuation in the human orbitofrontal cortex, Nature Neuroscience, 2017 , 20, 12, 1780–1786, reviewed&# BibTeX
  74. 74. *Tokuda T, Yoshimoto J, Shimizu Y, Okada G, Takamura M, Okamoto Y, Yamawaki S, Doya K, Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions, PLoS One, 2017 , 12, 10, e0186566, reviewed BibTeX
  75. 75. *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
  76. 76. Eiji Uchibe, Model-Free Deep Inverse Reinforcement Learning by Logistic Regression, Neural Processing Letters, 2017 , reviewed# BibTeX
  77. 77. *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 8, 3, 1, 210-217, reviewed# BibTeX
  78. 78. 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 8, 17, 31252-4, reviewed& BibTeX
  79. 79. Kobayashi K, Inoue K, Tanabe S, Kato S, Takada M, *Kobayashi K, Pseudotyped lentiviral vectors for retrograde gene delivery into target brain regions., 2017 8, 11, 65, reviewed BibTeX
  80. 80. *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 8, 22, 8, 1205-1222, reviewed BibTeX
  81. 81. Chen YY, Pan XC*, Wang RB, Sakagami M, Reward information encoded by power of local field potentials in the primate prefrontal Cortex and striatum, Sheng Li Xue Bao, 2017 8, 69, 4, 385-396, reviewed& BibTeX
  82. 82. 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 July, 286, 102-103, reviewed BibTeX
  83. 83. *Christopher A Hill, Shinsuke Suzuki, Rafael Polania, Marius Moisa, John P O’Doherty, Christian C Ruff, A causal account of the brain network computations underlying strategic social behavior, Nature Neuroscience, 2017 , 20, 8, 1142–1149, reviewed& BibTeX
  84. 84. *Tomoda T, Hikida T, Sakurai T, Role of DISC1 in neuronal trafficking and its implication in neuropsychiatric manifestation and neurotherapeutics., Neurotherapeutics, 2017 7, 14, 3, 623-6291, reviewed# BibTeX
  85. 85. *Hayashi Y, Yawata S, Funabiki K, Hikida T, In vivo calcium imaging from dentate granule cells with wide-field fluorescence microscopy., PLoS ONE, 2017 7, 12, 7, e0180452, reviewed# BibTeX
  86. 86. 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 6, 114, 24, 6394-6399, reviewed& BibTeX
  87. 87. *Jun-ichiro Furukawa, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto, Human movement modeling to detect bio-signal sensor failures for myoelectric assistive robot control, IEEE Transaction on Robotics, 2017 4, 33, 4, 846-857, reviewed# BibTeX
  88. 88. 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 4, 117, 54-61, reviewed# BibTeX
  89. 89. Nakanishi Y*, Yanagisawa T*, Shin D, Kambara H, Yoshimura N, Tanaka M, Fukuma R, Kishima H, Hirata M, Koike Y, Mapping ECoG channel contributions to trajectory and muscle activity prediction in human sensorimotor cortex., Scientific Reports, 2017 3, 7, 1, 45486, reviewed& BibTeX
  90. 90. Kitanishi T+, Ito HT+, Hayashi Y+, Shinohara Y+, *Mizuseki K+, *Hikida T+, Network mechanisms of hippocampal laterality, place coding and goal-directed navigation., J Physiol Sci, 2017 3, 67, 2, 247-258, reviewed# BibTeX
  91. 91. *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 , 18, 9, 2477-2489, reviewed, DOI:10.1109/TITS.2017.2649541 BibTeX
  92. 92. Lak A, Nomoto K, Keramati M, Sakagami M, Kepecs A* , Midrain Dopamine Neurons Signal Belief in Choice Accuracy during a Perceptual Decision, Current biology, 2017 3, 27, 6, 821-832, reviewed&# BibTeX
  93. 93. Shimizu Y, *Son C, Aotani D, Nomura H, Hikida T, Hosoda K, Nakao K, Role of leptin in conditioned place preference to high-fat diet in leptin-deficient ob/ob mice., Neuroscience Letters, 2017 2, 640, 60-63, reviewed BibTeX
  94. 94. *Wang, J X, Uchibe E, Doya K, Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer, Frontiers in Neurorobotics, 2017 , 11, 1-15, reviewed BibTeX
  95. 95. 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
  96. 96. M. Furukawa and S. Shinomoto,, Inferring objects from a multitude of oscillations., Neural Computing and Applications, 2017 , 1-8, reviewed# BibTeX
  97. 97. Kobayashi R, Nishimaru H, Nishijo H, Lansky P, A single spike deteriorates synaptic conductance estimation, Biosystems, 2017 , 161, 41-45, reviewed BibTeX
  98. 98. R.E. Kass, S. Amari, K. Arai, E.N. Brown, C.O. Diekman, M. Diesmann, B. Doiron, U.T. Eden, A. Fairhall, G.M. Fiddyment, T. Fukai, S. Gruen, M.T. Harrison, M. Helias, H. Nakahara, J. Teramae, P.J. Thomas, M. Reimers, J. Rodu, H.G. Rotstein, E. Shea-Brown, H. Shimazaki, S. Shinomoto, B.M. Yu, and M.A. Kramer,, Computational Neuroscience: Mathematical and Statistical Perspectives, Annual Review of Statistics and Its Application, 2018 , 5, 183-214, reviewed BibTeX
  99. 99. Proskurnia J, Grabowicz PA, Kobayashi R, Castillo C, Cudre-Mauroux P, Aberer K, Predicting the success of online petitions leveraging multidimensional time-series, WWW, 2017 , 17, 755-764, reviewed BibTeX
  100. 100. Xiaohong Wan,Kang Cheng, and *Keiji Tanaka, The neural system of postdecision evaluation in rostral frontal cortex during problem-solving tasks, eNeuro, 2016 , 3, 1-24, reviewed& BibTeX
  101. 101. Taylor JE, Ogawa A*, Sakagami M , Reward value enhances post-decision error-related activity in the cingulate cortex , Neuroscience research, 2016 12, 107, 38-46, reviewed BibTeX
  102. 102. Kang Cheng, What we have learned about human primary visual cortex from high resolution functional magnetic resonance imaging, Magn Reson Med Sci, 2016 , 15, 1, 1-10, reviewed BibTeX
  103. 103. Jaaro-Peled H, Altimus C, LeGates T, Cash-Padgett T, Zoubovsky S, Hikida T, Ishizuka K, Hattar S, Mongrain V, *Sawa A, Abnormal wake/sleep pattern in a novel gain-of-function model of DISC1., Neuroscience Research, 2016 11, 112, 63-69, reviewed BibTeX
  104. 104. *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 10, 633, 141-145, reviewed# BibTeX
  105. 105. Morita M, Wang Y, Sasaoka T, Okada K, Niwa M, Sawa A, *Hikida T, Dopamine D2L receptor is required for visual discrimination and reversal learning., Molecular Neuropsychiatry, 2016 10, 2, 3, 124-132, reviewd# BibTeX
  106. 106. *Sidney R. Lehky and Keiji Tanaka, Neural representation for object recognition in inferotemporal cortex, Current Opinion in Neurobiology, 2016 , 37, 23-35, reviewed BibTeX
  107. 107. 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 8, 113, 42, 11817-11822, reviewed& BibTeX
  108. 108. 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 7, 23, 7, 359-364, reviewd BibTeX
  109. 109. *Hikida T, Morita M, Macpherson T, Neural mechanism of the nucleus accumbens circuit in reward and aversive learning., Neuroscience Research, 2016 7, 108, 1-5, reviewed BibTeX
  110. 110. Zhang Y, Pan X*, Wang R, Sakagami M , Functional connectivity between prefrontal cortex and striatum estimated by phase locking value , Cognitive neurodynamics, 2016 6, 10, 3, 245-254, reviewed& BibTeX
  111. 111. Yamada H, Inokawa H, Hori Y, Pan X, Matsuzaki R, Nakamura K, Samejima K, Shidara M, Kimura M, Sakagami M, Minamimoto T* , Characteristics of fast-spiking neurons in the striatum of behaving monkeys , Neuroscience research, 2016 4, 105, 2-18, reviewed BibTeX

国内雑誌論文

  1. 1. 田中啓治, 将棋岸の直観と脳, Brain and Nerve, 2018 , 印刷中 BibTeX
  2. 2. 中原裕之, 社会知性を実現する脳計算システムの解明: 人工知能の実現に向けて, 人工知能学会誌, 2017 , 32, 6, 863-872, reviewed & BibTeX
  3. 3. So Fujimoto, Yutaka Komura*, The map of auditory function, Brain and Nerve, 2017 , 69, 471-478 BibTeX
  4. 4. 新國彰彦、小村豊*, 注意のスポットライトと視床, Clinical Neuroscience, 2017 , 35, 945-948 BibTeX
  5. 5. 野口真生、藤本蒼、小村豊*, メタ認知からみた意識の生物学, 人工知能学会誌, 2018 , 33, 4, in press, invited& BibTeX
  6. 6. 深井朋樹, 脳回路研究とAIの融合に向けて, ファルマシア, 2018 September, 54, 9, 867-869 BibTeX
  7. 7. 鈴木雅大, 松尾豊, 異なるモダリティ間の双方向生成のための深層生成モデル, 情報処理学会論文誌, 2018 3, 59, 3 BibTeX
  8. 8. *疋田貴俊, 意思決定と薬物依存における大脳基底核神経回路機構, 日本生物学的精神医学会誌, 2018 3, 29, 1, 40-43, invited# BibTeX
  9. 9. 森本淳, ヒト動作の模倣によるヒト型ロボット動作学習, 生体の科学, 2018 2, 69, 1, 51-53, &# BibTeX
  10. 10. 内部英治,王潔心, ロボット制御のための決定論的方策探査法, 日本神経回路学会誌, 2017 , 24, 4, 195-203, invited# BibTeX
  11. 11. 栁澤琢史, Q and A 神経科学の素朴な疑問、脳の力で機械は動かせますか?, Clinical Neuroscience, 2018 1, 36, 2, 262-263, & BibTeX
  12. 12. 栁澤琢史, ブレインマシンインターフェイスによる脳機能の再建と修飾, バイオサイエンスとインダストリー, 2018 , 76, 3, 264-265, & BibTeX
  13. 13. 栁澤琢史、福間良平1,3)、Ben Seymour9)、細見晃一1,5) 、清水豪士1,5)、貴島晴彦1)、平田雅之1,2)、横井浩史7) 、吉峰俊樹2,8)、神谷之康3,6)、齋藤洋一, 皮質可塑性の制御による幻肢痛の病態解明と治療, Pain Research, 2018 , 33, 26-31, & BibTeX
  14. 14. 田中慎吾、坂上雅道, 推移的推論の脳メカニズム-汎用人工知能の計算理論構築をめざして-, 人工知能, 2017 11, 32, 6, 845 BibTeX
  15. 15. *疋田貴俊, 神経回路から精神疾患病態へ, 日本生物学的精神医学会誌, 2017 9, 28, 3, 132-134, invited BibTeX
  16. 16. 松尾真, 柳井啓司, Neural Style Vectorを用いた絵画画像のスタイル検索, 電子情報通信学会論文誌 D, 2017 8, J100-D, 8, 742-749, reviewed BibTeX
  17. 17. 會下拓実, 柳井啓司, CNN 特徴量学習に基づく画像検索による食事画像カロリー量推定, 電子情報通信学会論文誌 D, 2018 8, J101-D, 8, -, reviewed# BibTeX
  18. 18. *疋田貴俊、森田真規子、Tom Macpherson, 認知学習における大脳基底核神経回路機構, 日本神経精神薬理学雑誌, 2017 4, 37, 35-38, invitedreviewed BibTeX
  19. 19. 栁澤琢史, 幻肢痛をBMIで治す, Clinical Neuroscience, 2017 , 35, 1, 356-7, & BibTeX
  20. 20. 栁澤琢史, BMIによる幻肢痛の病態解明と新たな治療法開発, 機能的脳神経外科, 2017 , 56, 41-45, & BibTeX
  21. 21. 田中慎吾、小口峰樹、坂上雅道, 前頭連合野の認知機能 推移的推論と前頭前野外側部, BRAIN and NEVER,医学書院, 2016 11, 68, 11, 1263-1270, reviewed BibTeX
  22. 22. *疋田貴俊, 大脳基底核神経回路からみた薬物依存症の病態., 精神科臨床Legato, 2016 10, 2, 4, 190-192, invited BibTeX

国際会議 講演・発表

  1. 1. Takanori Uka, Neural mechanism of flexible sensory decision making, invited BibTeX
  2. 2. *Ales Ude,Rok VugaA,Bojan Nemec,Jun Morimoto, Trajectory representation by nonlinear scaling of dynamic movement primitives, 2016 10, reviewed# BibTeX
  3. 3. *Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto, Learning assistive strategies from a few user-robot interactions: Model-based reinforcement learning approac, 2016 10, reviewed# BibTeX
  4. 4. *Koji Ishihara,Jun Morimoto, A hierarchical model predictive control approach to generate biped robot movements in real-time, 2016 12, reviewed# BibTeX
  5. 5. *Masashi HAMAYA, Takamitsu MATSUBARA, Tomoyuki NODA,Tatsuya TERAMAE,Jun MORIMOTO, Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning, 2017 5,6, reviewed# BibTeX
  6. 6. *Koji ISHIHARA,Jun-ichiro FURUKAWA,Jun MORIMOTO, A forward and inverse optimal control framework to generate humanoid robot movements with hierarchical MPC, 2017 6, reviewed# BibTeX
  7. 7. *Masashi HAMAYA, Takamitsu MATSUBARA, Tomoyuki NODA,Tatsuya TERAMAE,Jun MORIMOTO, User-robot collaborative excitation for PAM model identification in exoskeleton robots, 2017 9, reviewed# BibTeX
  8. 8. *Jun-ichiro FURUKAWA, Asuka TAKAI,Jun MORIMOTO, Database-driven approach for biosignal-based robot control with collaborative filtering, 2017 11, reviewed# BibTeX
  9. 9. *Rok Pahic, Andrej Gams, Ales Ude, Jun Morimoto, Deep Encoder-Decoder Networks for Mapping Raw Images to Movement Primitives, 2018 5, reviewed# BibTeX
  10. 10. Abekawa Naotoshi, Gomi Hiroaki, Modulation difference in visuomotor responses in implicit and explicit motor tasks depending on postural stability, 2017 BibTeX
  11. 11. Ito Sho, Gomi Hiroaki, Rotated visual feedback of self-movement affects long-latency stretch reflex, 2017 BibTeX
  12. 12. Takamuku Shinya, Abekawa Naotoshi,Gomi Hiroaki, Automatic adjustment of walking speed by optic flow benefits from binocular vision, 2017 BibTeX
  13. 13. Ueda Hiroshi, Abekawa Naotoshi,Gomi Hiroaki, Temporal development of an interaction effect between internal motion and contour signals of drifting target on reaching adjustment, 2017 BibTeX
  14. 14. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Nucleus accumbens dopamine D2-receptor expressing neurons control behavioural flexibility in a place learning task in the IntelliCage., 2016 BibTeX
  15. 15. *Hikida T, Yao S, Fukakusa A, Morita M, Kimura H, Hirai K, Ando T, Toyoshiba H, Sawa A, Expression changes in prefrontal cortex after neurotransmission blocking of the nucleus accumbens pathways., 2016 BibTeX
  16. 16. Morita M, Macpherson T, Sawa A, *Hikida T, Learning deficits involving nucleus accumbens D2-receptor expressing neurons in a DISC1 mouse model., 2016 BibTeX
  17. 17. Itakura M, Kubo T, Kaneshige A, Azuma Y, Hikida T, Takeuchi T, *Nakajima H., A novel therapeutic target for stroke by inhibition of GAPDH aggregation., 2016 BibTeX
  18. 18. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens is necessary for behavioral flexibility in an IntelliCage place discrimination task., 2016 , invited BibTeX
  19. 19. *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens is necessary for behavioral flexibility in an IntelliCage place discrimination task., 2016 BibTeX
  20. 20. *Hikida T, Yao S, Fukakusa A, Morita M, Kimura H, Hirai K, Ando T, Toyoshiba H, Sawa A, Expression changes in prefrontal cortex after neurotransmission blocking of the nucleus accumbens pathways., 2016 BibTeX
  21. 21. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control incentive salience to reward-predictive cues., 2017 , invited BibTeX
  22. 22. *Hikida T, Morita M, Macpherson T, D2L receptor-expressing striatal neurons control visual discrimination learning in a touchscreen operant system., 2017 BibTeX
  23. 23. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control Pavlovian approach behaviour., 2017 BibTeX
  24. 24. Macpherson T, *Hikida T, Nucleus Accumbens D1 receptor expressing neurons control autoshaping behavior, 2017 BibTeX
  25. 25. *Nakajima H, Nakamura S, Kita A, Itakura M, Senami C, Kuwamura M, Hikida T, Azuma Y-T, Takeuchi T, Blockade of GAPDH nuclear translocation in the hippocampus contributes to anti-depressant-like action in stressed mice, 2017 BibTeX
  26. 26. *Hikida T, Basal ganglia network mechanisms in cognitive learning, 2017 , invited BibTeX
  27. 27. Macpherson T, *Hikida T, Nucleus accumbens D1 receptor expressing neurons control sutoshaping behavior., 2017 BibTeX
  28. 28. Macpherson T, *Hikida T, Dopamine D2L receptors control flexible behavior., 2017 BibTeX
  29. 29. *Hikida T, Neuronal circuit mechanisms in reward and aversive behavior., 2017 , invited BibTeX
  30. 30. *Yuki Tada, Yoshinobu Hagiwara, +Tadahiro Taniguchi, Comparative Study of Feature Extraction Methods for Direct Word Discovery with NPB-DAA from Natural Speech Signals, 2017 9, reviewed# BibTeX
  31. 31. *Yuusuke Miyuki, Yoshinobu Hagiwara and +Tadahiro Taniguchi, Unsupervised Learning for Spoken Word Production based on Simultaneous Word and Phoneme Discovery without Transcribed Data, 2017 9, reviewed# BibTeX
  32. 32. *Shirasuna, M., Honda, H., Matsuka, T., & Ueda, K., Familiarity-matching in decision making: Experimental studies on cognitive processes and analyses of its ecological rationality, 2017 , reviewed# BibTeX
  33. 33. *Honda, H., Matsuka, T., & Ueda, K., Decisions based on verbal probabilities: Decision bias or decision by sampling?, 2017 , reviewed# BibTeX
  34. 34. *Sayuri Hashimoto and Ichiro Kobayashi, A Basic Study on Action Control Using Deep Reinforcement Learning, 2017 , reviewed BibTeX
  35. 35. *Tadahiro Taniguchi, Symbol Emergence in Robotics: from sensorimotor information to language, 2017 , invited BibTeX
  36. 36. *Tadahiro Taniguchi, Symbol Emergence in Robotics: Representation Learning for Real-world Communication and Collaboration, 2017 , invited BibTeX
  37. 37. *Tadahiro Taniguchi, Semantic Segmentation of Driving Behavior Data: Double Articulation Analyzer and its Application, 2017 , invited BibTeX
  38. 38. Ikegami, T, THE FUTURE OF AI IN THE ARTS , 2017 , invited BibTeX
  39. 39. Ikegami, T, 2017 , invited BibTeX
  40. 40. Ikegami, T, 2017 , invited BibTeX
  41. 41. Ryosuke Tanno and Keiji Yanai, AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality, 2018 2, reviewed BibTeX
  42. 42. Wataru Shimoda and Keiji Yanai, Predicting Segmentation Easiness from the Consistency for Weakly-Supervised Segmentation, 2017 11, reviewed BibTeX
  43. 43. Takumi Ege and Keiji Yanai, Estimating Food Calories for Multiple-dish Food Photos, 2017 11, reviewed# BibTeX
  44. 44. Takumi Ege and Keiji Yanai, Image-Based Food Calorie Estimation Using Knowledge on Food Categories, Ingredients and Cooking Directions, 2017 10, reviewed# BibTeX
  45. 45. Takumi Ege and Keiji Yanai, Comparison of Two Approaches for Direct Food Calorie Estimation, 2017 9, reviewed# BibTeX
  46. 46. Shin Matsuo, Wataru Shimoda and Keiji Yanai, Partial Style Transfer Using Weakly-Supervised Semantic Segmentation, 2017 7, reviewed BibTeX
  47. 47. Keiji Yanai and Ryosuke Tanno, Conditional Fast Style Transfer Network, 2017 6, reviewed BibTeX
  48. 48. Takumi Ege and Keiji Yanai, Simultaneous Estimation of Food Categories and Calories with Multi-task CNN, 2017 5, reviewed BibTeX
  49. 49. Keiji Yanai, Unseen Style Transfer Based on a Conditional Fast Style Transfer Network, 2017 4, reviewed BibTeX
  50. 50. Shin Matsuo, Wataru Shimoda and Keiji Yanai, Twitter Photo Geo-Localization Using Both Textual and Visual Features, 2017 4, reviewed BibTeX
  51. 51. Wataru Shimoda and Keiji Yanai, Learning Food Image Similarity for Food Image Retrieval, 2017 4, reviewed BibTeX
  52. 52. Eiji Uchibe*, Efficient Sample Reuse in Policy Search by Multiple Importance Sampling, 2018 , reviewed# BibTeX
  53. 53. Stefan Elfwing*, Eiji Uchibe, and Kenji Doya, Online Meta-Learning by Parallel Algorithm Competition, 2018 , reviewed# BibTeX
  54. 54. Hayakawa T, Fukai T, The mean-field theory of dynamically balanced neuronal networks, 2018 BibTeX
  55. 55. Shinsuke Suzuki, Food value computation in the human orbitofrontal cortex, 2018 , invited BibTeX
  56. 56. Hiroaki Shioya, Yusuke Iwasawa, Yutaka Matsuo, Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity, 2018 4 BibTeX
  57. 57. Joji Toyama, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo, Expert-based reward function training: the novel method to train sequence generators,, 2018 4 BibTeX
  58. 58. Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo, Neuron as an Agent, 2018 4 BibTeX
  59. 59. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , New York University, USA, 2018.3.18 BibTeX
  60. 60. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , Cold Spring Harbor Laboratory, USA, 2018.3.19 BibTeX
  61. 61. So Fujimoto, Yutaka Komura*, Neurobiology and statistics of reflective minds in primates, 2018 BibTeX
  62. 62. *Yoshizawa T, Ito M, Doya K, Cell-type specific calcium imaging of striatal neurons in the striosome compartments during an odor-conditioning task, 2018 , Four Points Sheraton/Holiday Inn Express, Ventura, CA, US, 2018.3.15 BibTeX
  63. 63. Doya K, How does the brain wire up itself on the fly?, 2018 , Institute for Advanced Study, Princeton, USA, 2018.3.14, invited BibTeX
  64. 64. Doya K, Neural Circuit for Mental Simulation, 2018 , Princeton Neuroscience Institute, USA BibTeX
  65. 65. Doya K, Imaging the neural circuit for mental simulation, 2018 , Denver City, USA, 2018.3.5 BibTeX
  66. 66. Takagishi, H., Sakagami, M., & Yamagishi, T, Social Value Orientation is Associated with the Role of Right Dorsolateral Prefrontal Cortex in Prosocial Behavior, 2018 3 BibTeX
  67. 67. Kurikawa T, Handa T, Fukai T, Different neural landscape regulates individual differences in sensory-guided decision making, 2018 BibTeX
  68. 68. Fung C.C, Fukai T, Discrete-attractor-like motion in continuous-attractor neural field models, 2018 BibTeX
  69. 69. Fukai T, Information transfer during slow oscillations in cortical networks, 2018 , invited BibTeX
  70. 70. Kurikawa T, Fukai T, Dynamic modulation in communications between Hippocampus and Medial entorhinal cortex depending on cognitive state, 2018 BibTeX
  71. 71. Shinsuke Suzuki, Value computation in the human brain: its basis and contagious nature, 2018 , invited BibTeX
  72. 72. Fukai T, Reservoir computing for chunking and decision-making, 2018 , invited BibTeX
  73. 73. Fukai T, Sequence learning through reverse replay and preplay in hippocampal circuit models., 2018 , invited BibTeX
  74. 74. Fukai T, Dendritic canonical correlation analysis for memory and sensory information processing., 2018 , invited BibTeX
  75. 75. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , Gold Hall and Ruby Hall, WellyHilly park, South Korea, 2018.1.30, invited BibTeX
  76. 76. Masamichi Sakagami, Decoding the value related signal represented in multiple areas of the prefrontal cortex using ECoG electrodes, 2018 1, invited BibTeX
  77. 77. Masamichi Sakagami, Multiple Neural Circuits In Value-based Decision Making, 2018 1, invited BibTeX
  78. 78. Doya K, What should we further learn from the brain?, 2018 , WellyHilly park, South Korea, 2018.1.29 BibTeX
  79. 79. T. Yanagisawa, Brain-machine interface to modulate cortical functions, 2018 BibTeX
  80. 80. Doya K, Neural circuits for reinforcement learning and mental simulation, 2017 , Queensland Brain Institute, The University of Queensland, Brisbane, Australia, 2017.12.14, invited BibTeX
  81. 81. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Toshiki Yoshimine, Yukiyasu Kamitani, Youichi Saitoh, MEG-Neurofeedback for phantom limb pain, 2017 BibTeX
  82. 82. Fukai T, Unsupervised reservoir computing for chunking sequence information., 2017 BibTeX
  83. 83. Tanaka S, Kawasaki K, Hasegawa I, Suzuki T, Kawato M and Sakagami M, Elucidating the role of the macaque lateral prefrontal cortex for the value-based decision making using the decoded neurofeeback, 2017 11 BibTeX
  84. 84. *J. Hirayama, T. Ogawa, H. Moriya, A. Hyvärinen & M. Kawanabe, Exploring EEG source resting-state networks by SPLICE: A simultaneous fMRI study, 2017 , reviewed# BibTeX
  85. 85. *T. Ogawa, H. Moriya, T. Yamada, M. Kawanabe & J. Hirayama, Prediction of resting state fMRI signatures from EEG signal: a study of EEG-fMRI simultaneous recording, 2017 , reviewed# BibTeX
  86. 86. *H. Moriya, T. Ogawa, M. Kawanabe, J. Hirayama, Predictability of amygdala BOLD signal from multiple-electrode EEGs, 2017 , reviewed# BibTeX
  87. 87. T. Yanagisawa, R. Fukuma, B. Seymour, K. Hosomi, H. Kishima, T. Shimizu, H. Yokoi, M. Hirata, T. Yoshimine, Y. Kamitani, Y. Saitoh, MEG-based BMI controlled the sensorimotor cortical plasticity and phantom limb pain, 2017 , invited BibTeX
  88. 88. *Reinke C, Doya K, Adaptation of Optimization Algorithms to Problem Domains by Transfer Learning, 2017 , OIST, 2017.11.24 BibTeX
  89. 89. Benucci A., Sensory Representation Plasticity Driven by Single Neurons in the Mouse Cortex, 2017 Nov, Invited talk BibTeX
  90. 90. Doya K, What can we further learn from the brain?, 2017 , Guangzhou, China, 2017.11.16, invited BibTeX
  91. 91. Haga T, Fukai T, Reverse replay strengthens forward pathways to reward through Hebbian learning and short-term depression., 2017 BibTeX
  92. 92. *Yoshizawa T, Ito M, Doya K, Neural representation of sensory-state value in the striatal striosome compartment , 2017 , Walter E. Washington Convention Center, Washington DC, USA, 2017.11.14 BibTeX
  93. 93. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, Nakahara H. , Neural mechanisms for converting social value into one’s own decision value, 2017 BibTeX
  94. 94. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, Nakahara H., Neural mechanisms for deciding with predicting others in human brain, 2017 BibTeX
  95. 95. Tanaka S, Kawasaki K, Hasegawa I, Suzuki T, Kawato M and Sakagami M, Spatial and temporal distribution of value-related and the visual information in the macaque lateral prefrontal cortex, 2017 11 BibTeX
  96. 96. Tsubota T., *Benucci A., Plasticity for stimulus selectivity in the visual cortex of adult mice induced by patterned optogenetic stimulation, 2017 Nov BibTeX
  97. 97. Asabuki T, Fukai T, Chunk learning from complex sequences by mutually supervising recurrent neural networks, 2017 BibTeX
  98. 98. DeCostanzo A, Fukai T, A local supervised learning rule protects memories from catastrophic interference during subsequent unsupervised learning., 2017 BibTeX
  99. 99. Watanabe K, Haga T, Tatsuno M, Euston DR, Fukai T, Blind detection of behavior related population activity by using edit similarity measurement and statistical modeling., 2017 ,   BibTeX
  100. 100. Uezono S, Tanabe S, Fujiwara M, Tsuge H, Nakamura K, Inoue K, Takada M, Organization of multisynaptic inputs from the basal ganglia and cerebellum to the anterior and posterior cingulate cortical areas in common marmosets: Retrograde transneuronal double labeling with fluorescent rabies viral vectors., 2017 11, Washington, DC, USA BibTeX
  101. 101. Takaya Ogasawara, Masahiko Takada, Masayuki Matsumoto, The nigrostriatal dopamine pathway transmits a stop signal during the performance of a saccadic countermanding task in monkeys, Society for Neuroscience BibTeX
  102. 102. Inoue K, Fujiwara M, Uezono S, Tanabe S, Ishida H, Hoshi E, Takada M, Arrangement of multisynaptic inputs from the basal ganglia to the dorsal and ventral premotor cortical areas in macaques: retrograde transneuronal double labeling with fluorescent rabies viral vectors., 2017 11, Washington, DC, USA BibTeX
  103. 103. Sidney Lehky, A Phan, A Cichocki, and Keiji Tanaka, Coding of faces by tensor components, ポスター発表 BibTeX
  104. 104. Kurikawa T, Handa T, Fukai T, Instability of neural trajectories in medial frontal cortex predicts individual differences in perceptual decision making., 2017 BibTeX
  105. 105. J. Matsumoto, H. Nishimaru, Y. Takamura, K. Mimura, A. Asaba, W. Suzuki, N. Ichinohe, T. Minamimoto, T. Ono, H. Nishijo, 3D-Tracker, an open-source 3D video based behavioral analysis system for laboratory animals for neuroscience, 2017 November BibTeX
  106. 106. Inoue K, Pathway-selective optogenetics for elucidating neural network function in primates., 2017 11, invited, Washington, DC, USA BibTeX
  107. 107. *Parmas P, Peters J, Doya K, The optimal-baseline estimator is not the optimal baseline-estimator, 2017 , Tokyo, Japan, 2017.11.10 BibTeX
  108. 108. T. Yoshimoto, J. Chikazoe, S. Okazaki, M. Sumiya, H. K. Takahashi, E. Nakagawa, T. Koike, R. Kitada, S. Okamoto, M. Nakata, H, Kosaka, T. Yada, N. Sadato, Abstractness of value representation in orbitofrontal cortex, 2017 , poster BibTeX
  109. 109. Mao Noguchi, So Fujimoto, Akihiko Nikkuni, Yutaka Komura*, Core of neural network for conscious states and percepts in primate, 2017 , invited BibTeX
  110. 110. *Masumori, A., Maruyama, N., Mita, T., Bakkum, D., Frey, U., Takahashi, H.,& Ikegami, T, Learning by Stimulation Avoidance in Cultured Neuronal Cells, 2017 , reviewed BibTeX
  111. 111. *Maruyama, N., Hashimoto, Y., Mototake, Y., Saito, D., & Ikegami, T, Revisiting Classification of Large Scale Flocking, 2017 , reviewed BibTeX
  112. 112. *Hashimoto, Y., Ikegami, T, Novelty production in tagging crowds, 2017 , reviewed BibTeX
  113. 113. Tanno, T., Horie, K., Izawa, J. and Morita, M, Robustness of Selective Desensitization Perceptron Against Irrelevant and Partially Relevant Features in Pattern Classification, 2017 11, 520-529 BibTeX
  114. 114. *Reinke C, Uchibe E, Doya K, Average Reward Optimization with Multiple Discounting Reinforcement Learners, 2017 , Guangzhou, China, 2017.10.24 BibTeX
  115. 115. Doya K, Artificial Intelligence and Brain Science, 2017 , Kyungpook National University, Daegu, Korea, 2017.10.19 BibTeX
  116. 116. BibTeX
  117. 117. Masamichi Sakagami, Dissociable functions of reward inference in the lateral prefrontal cortex and the striatum, 2017 10, invited BibTeX
  118. 118. *Yoshizawa T, Ito M, Doya K, Coding of value information in the striatal striosome compartment, 2017 , CHÂTERAISÉ Gateaux Kingdom SAPPORO, Japan, 2017.10.4 BibTeX
  119. 119. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, 2017 , invited BibTeX
  120. 120. Takufumi Yanagisawa, BMI robotic hand controls phantom limb pain, 2017 , invited BibTeX
  121. 121. Hayakawa T, Fukai T, Interplay of microscopic and macroscopic dynamics in randomly connected neuronal networks. , 2017 BibTeX
  122. 122. *Sinapayen, L., & Ikegami, T, Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network, 2017 , reviewed BibTeX
  123. 123. *Hiroki Kojima,Takashi Ikegami, VAEGAN as a New Perception Model, 2017 , reviewed BibTeX
  124. 124. *Masumori, A., Sinapayen, L., & Ikegami, T, Learning by Stimulation Avoidance Scale to Large Neural Networks, 14th European Conference on Artificial Life, 2017 , reviewed BibTeX
  125. 125. *Doi, I., Ikegami, T., Masumori, A., Kojima, H., Ogawa K., & Ishiguro, H, A new design principle for an autonomous robot, 2017 , reviewed BibTeX
  126. 126. Nakahara H., Reinforcement learning with environmental structures and mind of others, 2017 , invited talk BibTeX
  127. 127. Akihiko Nikkuni, Yutaka Komura*, Self-evaluation in vision in monkeys and humans, 2017 , invited BibTeX
  128. 128. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control attribution of incentive salience in an autoshaping task., 2017 BibTeX
  129. 129. Doya K, Reinforcement learning: basic concepts and recent advances, 2017 , Beijing Institute of Technology, China, 2017.8.16-18, invited BibTeX
  130. 130. Doya K, Neural mechanisms of reinforcement learning and mental simulation, 2017 , Beijing Institute of Technology, China, 2017.8.16-18, invited BibTeX
  131. 131. T. Yanagisawa, R. Fukuma, B. Seymour, K. Hosomi, H. Kishima, T. Shimizu, H. Yokoi, M. Hirata, T. Yoshimine, Y. Kamitani, Y. Saitoh, Magnetoencephalographic-based brain–machine interface robotic hand for controlling sensorimotor cortical plasticity and phantom limb pain, 2017 , invited BibTeX
  132. 132. Koki Mimura, Chika Sato, Jumpei Matsumoto, Ichio Aoki, Noritaka Ichinohe, Suhara Testuya, Takafumi Minamimoto, Atypical Behavioral and Neural Phenotypes in a Common Marmoset Model of Autism Spectrum Disorder, 2017 July, invited BibTeX
  133. 133. Doya K, Decoding the contents of mental simulation, 2017 , University of Tokyo, Tokyo, 2017.7.24, invited BibTeX
  134. 134. Asabuki T, Hiratani N, Fukai T, Chunking by mutual supervision in reservoir computing., 2017 , invited BibTeX
  135. 135. Doya K, Exploring the deep brain network for reinforcement learning, 2017 , Makuhari Messe, Chiba, 2017.7.21, invited BibTeX
  136. 136. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, Nakahara H., Neural mechanisms of predicting others’ decisions for one’s better decisions, 2017 BibTeX
  137. 137. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, Nakahara H. , Neural processes for converting social value into one’s own decision value, 2017 BibTeX
  138. 138. Tanaka S, Kawasaki K, Hasegawa I, Suzuki T, Kawato M and Sakagami M, Distribution of value related information in the multiple areas of the macaque prefrontal cortex, 2017 7 BibTeX
  139. 139. Keiji Tanaka, Object recognition in inferotemporal cortex: from visual features to semantics, 基調講演, invited BibTeX
  140. 140. Eiji Uchibe* and Kenji Doya, Model-free deep inverse reinforcement learning by logistic regression, 2017 , reviewed# BibTeX
  141. 141. Doya K, What should we further learn from the brain?, 2017 , NYU Shanghai, Shanghai, China, 2017.7.7, invited BibTeX
  142. 142. Nakahara H., Learning to make reward-guided decisions: sequential, successive, and social, 2017 , invited talk BibTeX
  143. 143. Doya K, What should we further learn from the brain?, 2017 , Kyungpook National University, Daegu, Korea, 2017.7.3, invited BibTeX
  144. 144. Keiji Tanaka, Object recognition in inferotemporal cortex: from visual features to semantics, 基調講演, invited BibTeX
  145. 145. Inoue K, Fujiwara M, Uezono S, Tanabe S, Ishida H, Hoshi E, Takada M, Organization of multisynaptic inputs from the basal ganglia to the premotor cortex in macaque monkeys – Retrograde transneuronal dual tracing using rabies viral vectors., 2017 6, 蘇州市, 中華人民共和国 BibTeX
  146. 146. Ishida H, Inoue K, Hoshi E, Takada M, Cells of origin of multisynaptic projections from amygdala to ventral premotor cortex in macaques , 2017 6, Sicily, Italy BibTeX
  147. 147. Masamichi Sakagami, Categorical coding of stimulus and inference of the value in the monkey lateral prefrontal cortex, 2017 6, invited BibTeX
  148. 148. *Reinke C, Uchibe E, Doya K, Fast Adaptation of Behavior to Changing Goals with a Gamma Ensemble, 2017 , University of Michigan, Ann Arbor, Michigan, USA, 2017.6.12 BibTeX
  149. 149. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, Nakahara H. , Neural mechanisms for social value conversion in decision-making, 2017 BibTeX
  150. 150. Koki Mimura, Keiko Nakagaki, Noritaka Ichinohe, Distrbed Vocal Communication in Common Marmoset Family with an Autism-Model Child, 2017 May, invited BibTeX
  151. 151. Nakahara H., Neural computations underlying social decision-making, 2017 , invited talk BibTeX
  152. 152. Nakahara H., Learning to make reward-guided decisions: sequential, successive, and social, 2017 , invited talk BibTeX
  153. 153. Hidehiko Takahashi, Interface between AI and psychiatric research. , 2017 , invited BibTeX
  154. 154. Masamichi Sakagami, Categorical Coding of Stimulus and Inference of the Value in the Monkey Lateral Prefrontal Cortex, 2017 5 BibTeX
  155. 155. Shubham Gupta, R Allen Waggoner, Keiji Tanaka, and Kang Cheng, Variation of RF-induced temperature increase in a phantom: comparison of numerical simulatitons, MR thermometry and measurements from temperature sensors, ポスター発表 BibTeX
  156. 156. R Allen Waggoner, Ken Ueno, J Pfeuffer, Keiji Tanaka, Kang Cheng, High-resolution fMRI of the visual system at 3T using zoomed excitation via Tx-SENSE, ポスター発表 BibTeX
  157. 157. Haga T, Fukai T, Dendritic computing gives a meso-scopic level framework of brain’s leaning rule. , 2017 , invited BibTeX
  158. 158. J. Chikazoe, Integrated Taste Type Representations in Human Insula, 2017 , oral BibTeX
  159. 159. T. Yoshimoto, J. Chikazoe, S. Okazaki, M. Sumiya, H. K. Takahashi, E. Nakagawa, T. Koike, R. Kitada, S. Okamoto, M. Nakata, H, Kosaka, T. Yada, N. Sadato, State-dependent and -independent representations of food revealed by multi voxel pattern analysis, 2017 , poster BibTeX
  160. 160. Masamichi Sakagami, The reward prediction error signal of midbrain dopamine neuron is modulated by the cost paid for the reward, 2017 4, invited BibTeX
  161. 161. Doya K, Coding of action and state values in the striatal compartments, 2017 , Merida, Mexico, 2017.3.29, invited BibTeX
  162. 162. Keiji Tanaka, Changes in deoxygenation level of bloods and cortical tissues following neuronal activity changes as the bases for intrinsic optical recordings and fMRI, シンポジウム, invited BibTeX
  163. 163. S. Shinomoto, Emergence of cascades in the linear and nonlinear Hawkes processes, 2017 , invited BibTeX
  164. 164. S. Shinomoto, Inferring the source of fluctuation in neuronal activity, 2017 June, invited BibTeX
  165. 165. Nakahara H., Neural computations for making decisions with others’ choice and reward, 2016 , invited talk BibTeX
  166. 166. Masamichi Sakagami, Decoding the value of juice from electrocorticographic signals in monkey prefrontal cortices and its modulation through the decoded neurofeedback, 2016 12 BibTeX
  167. 167. Masamichi Sakagami, Signal interaction between primate prefrontal cortex and striatum in an asymmetric reward task, 2016 12 BibTeX
  168. 168. Mineki Oguchi and Masamichi Sakagami,, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Chemogenetic Double Virus Vector Infection , 2016 12, invited BibTeX
  169. 169. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, Nakahara H., Neural mechanisms for deciding with predicting others, 2016 BibTeX
  170. 170. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, Nakahara H, Neural mechanisms and computation that mediates value by others’ reward for decision making, 2016 BibTeX
  171. 171. Mineki Oguchi, Shingo Tanaka, Xiaochuan Pan, Takefumi Kikusui, Shigeki Kato, Kazuto Kobayashi, and Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection , 2016 11 BibTeX
  172. 172. *Akira Taniguchi, Tadahiro Taniguchi, Angelo Cangelosi, Multiple Categorization by iCub: Learning Relationships between Multiple Modalities and Words, 2016 , reviewed BibTeX
  173. 173. *Tadahiro Taniguchi, Nonparametric Bayesian Word Discovery for Symbol Emergence in Robotics the Workshop on Machine Learning Methods for High-Level Cognitive Capabilities, 2016 , invited BibTeX
  174. 174. *HaiLong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Yuusuke Tanaka, and Takashi Bando, Reducing the Negative Effect of Defective Data on Driving Behavior Segmentation Via a Deep Sparse Autoencoder, 2016 , reviewed BibTeX
  175. 175. Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection, 2016 10, invited BibTeX
  176. 176. Keiji Tanaka, Brain Mechanisms of intuitive problem solving in experts, シンポジウム BibTeX
  177. 177. *Tadahiro Taniguchi, Symbol Emergence in Robotics for Long-Term Human-Robot Collaboration, 2016 , reviewed BibTeX
  178. 178. M. Sakagami, Signal Interaction between Primate Prefrontal Cortex and Striatum in Asymmetric Reward Task , 2016 8, invited BibTeX
  179. 179. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, Nakahara H., Neural mechanisms for decision-making with predicting others: human fMRI, 2016 BibTeX
  180. 180. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, Nakahara H, Neural computation underlying value-based decisions including rewards to others, 2016 BibTeX
  181. 181. Tanaka S, Oguchi M, Sakagami M, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Virus Vector Infection, 2016 7 BibTeX
  182. 182. Mineki Oguchi, Shingo Tanaka, Xiaochuan Pan, Takefumi Kikusui, Shigeki Kato, Kazuto Kobayashi, and Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection, 2016 7 BibTeX
  183. 183. R Allen Waggoner, Topi Tanskanen, Keiji Tanaka, and Kang Cheng, Enhancement of event-related fMRI studies of the human visual system using multi-band EPI, ポスター発表 BibTeX

国内会議講演・口頭発表

  1. 1. Yukiko Matsumoto, Shuraku Son, Akio Murakami, Satoshi Nishida, Shinji Nishimoto, Hidehiko Takahashi., Abnormal semantic representation in the brains of schizophrenia patients., 2017 BibTeX
  2. 2. *疋田貴俊, 情動行動における大脳基底核神経回路機構とその破綻, 2017 , invited BibTeX
  3. 3. 夛田 裕貴, 幸 優佑,林 楓,萩原 良信,谷口 忠大, ノンパラメトリックベイス二重分節解析器のTIDIGITSコーパスへの適用, 2017 5, 4D2-OS-37d-3 BibTeX
  4. 4. 杉原智也, 劉海龍, 竹中一仁, 三澤秀明, 坂東誉司, 谷口忠大, Sequence to Sequenceモデルを用いた運転行動予測, 2017 9, RSJ2017AC3I3-03 BibTeX
  5. 5. 谷志翔, 田口亮, 服部公央亮, 保黒政大, 梅崎太造, 三次元空間における相対位置概念の学習, 2017 BibTeX
  6. 6. 谷志翔,加藤有祐,田口亮,服部公央亮,保黒政大,梅崎太造, MCMCサンプリングによる相対位置概念の学習, 2017 BibTeX
  7. 7. 相良陸成,谷志翔,田口亮,服部公央亮,保黒政大,梅崎太造, 発話を入力とした相対位置概念の学習, 2017 BibTeX
  8. 8. 白砂大,本田秀仁,松香敏彦,植田一博, なじみ深さ, 知識 ~統計モデルによる推論プロセスの検証~, 2017 BibTeX
  9. 9. 大貫祐大郎,本田秀仁,松香敏彦,植田一博, 異なる評価法によるリスク態度の変化:意思決定者の信念推定に基づく認知プロセスの分析, 2017 BibTeX
  10. 10. 本田秀仁,白砂大,松香敏彦,植田一博, フレーム選択における意図と潜在的処理, 2017 BibTeX
  11. 11. 白砂大,本田秀仁,松香敏彦,植田一博, なじみ深さのマッチング: familiarityの類似性に基づく選択, 2017 BibTeX
  12. 12. 橋本さゆり,小林一郎, 深層強化学習を用いた動作制御への基礎的検討, 2017 BibTeX
  13. 13. 橋本 さゆり,小林 一郎, 深層強化学習を用いた三重倒立振子の制御に関する一考察, 2017 BibTeX
  14. 14. 橋本 さゆり,金子晃,小林一郎, 深層強化学習を用いたロボットの自然言語による制御への取組み, 2017 BibTeX
  15. 15. 谷口忠大, 記号創発ロボティクスのアプローチ 赤ちゃんの言語獲得の構成論モデルに向けて, 2017 , 招待講演 BibTeX
  16. 16. 谷口忠大, 記号創発ロボティクスが目指すAGI~表現(表象)学習を超えて~, 2017 , 招待講演 BibTeX
  17. 17. 松本有紀子、孫樹洛、村上晶郎、西田知史、 西本伸志、高橋英彦, 高次視覚野応答のエン コーディングによる統合失調症の脳内意味 表象異常の評価., 2017 BibTeX
  18. 18. 高橋 英彦, 人工知能と統合失調症研究の接点., 2017 , invited BibTeX
  19. 19. 三村喬生, 中村友昭, 松本惇平, 西条寿夫, 須原哲也, 持橋大地, 南本敬史, 霊長類における身体動作時系列の分節推移構造推定, 2019 June, accepted BibTeX
  20. 20. 内部英治*, 方策探査法のための多重重点サンプリングを用いた経験再利用, 2018 , # BibTeX
  21. 21. E. Uchibe*, and J. Wang, EM-based policy search for learning foraging and mating behaviors, 2018 , # BibTeX
  22. 22. 松嶋達也、大澤昇平、松尾豊, 内的報酬と敵対的学習によるタスク非依存な注意機構の学習, 2018 6 BibTeX
  23. 23. 成沢淳史,柳井啓司, スタイル転移によるフォント画像変換, 2018 BibTeX
  24. 24. 丹野良介,會下拓実,柳井啓司, AR DeepCalorieCam: AR表示型食事カロリー量推定システム, 2018 BibTeX
  25. 25. 成冨志優,堀田大地,丹野良介,下田和,柳井啓司, Conditional GANによる食事写真の属性操作, 2018 BibTeX
  26. 26. 伊藤祥文,丹野良介,柳井啓司, Conditional GANを用いた大規模食事画像データからの画像生成, 2018 BibTeX
  27. 27. 會下拓実,柳井啓司, 単一の畳み込みネットワークによる料理検出とカロリー量推定のマルチタスク学習, 2018 BibTeX
  28. 28. Shubha Gupta, Keiji Tanaka, and R. Allen Waggoner, Simulations of various numerical leg models to ensure safety during parallel transmission MRI, 口頭発表 BibTeX
  29. 29. Topi Tanskanen, Chien-Hui Tancy Kao, R. Allen Waggoner, Ken Ueno, Keiji Tanaka, and Kang Cheng, Category selectivity in the human face-selective cortex assessed with columnar resolution fMRI, ポスター発表 BibTeX
  30. 30. Chisato Suzuki, R Allen Waggoner, Kenji Haruhana, and Keiji Tanaka, Evaluation of motion effects on physiological noise correction in fMRI studies, ポスター発表 BibTeX
  31. 31. 春花健児、鈴木千里、田中啓治、上野賢一, Evaluatio of combining method for RF srray coil data in fMRI study, ポスター発表 BibTeX
  32. 32. Takufumi Yanagisawa, BMI induced plasticity modulates phantom limb pain, 2018 BibTeX
  33. 33. *宮崎勝彦, 報酬待機行動を制御するセロトニンの役割ーoptogeneticsによる検証ー, 2018 , TKPガーデンシティ品川 , 2018.1.27, invited BibTeX
  34. 34. J. Chikazoe, 表象類似度解析による脳内価値表象の解明, 2018 , 招待講演 BibTeX
  35. 35. 柳澤琢史、福間良平、Ben Seymour、細見晃一 、貴島晴彦、吉峰俊樹、神谷之康、齋藤洋一, MEG-BMIによる幻肢痛の制御, 2018 BibTeX
  36. 36. 上園志織、田辺創思、藤原真紀、柘植仁美、中村克樹、井上謙一、高田昌彦, マーモセットにおける大脳基底核および小脳から前部・後部帯状皮質への多シナプス性入力様式 , 2018 1 BibTeX
  37. 37. 南本敬史、三村喬生、永井裕司、井上謙一、須原哲也、高田昌彦, 化学遺伝学とPET イメージングの融合による黒質線条体ドーパミン神経活動制御, 2018 1, 京都大学、京都府京都市 BibTeX
  38. 38. 三村 喬生, 永井 裕司, 井上 謙一, 須原 哲也, 高田 昌彦, 南本 敬史, 化学遺伝学とPETイメージングの融合による黒質線条体ドーパミン神経活動制御, 2017 , reviewed BibTeX
  39. 39. 三村 喬生、松本 惇平、西条 寿夫、須原哲也、南本 敬史, 機械学習を用いた自由行動下における頭部方向測定法の開発, 2017 , reviewed BibTeX
  40. 40. 栁澤琢史, MEGによるバイオマーカー探索とニューロフィードバック, 2018 , invited BibTeX
  41. 41. *Zobnin S, Li Y, Doya K, Experimental investigation of hierarchical Bayesian inference in sensory and motor cortices, 2018 , 北海道留寿都, 2018.1.9 BibTeX
  42. 42. 栁澤琢史, Brain-Machine Interfaceによる幻肢痛治療, 2017 , invited BibTeX
  43. 43. 松本有紀子., 統合失調症における脳内意味表象異常の可視化と定量, 2017 , invited BibTeX
  44. 44. *Zobnin S, Li Y, Doya K, Experimental investigation of hierarchical Bayesian inference in sensory and motor cortices, 2017 , 学術センター, 東京, 2017.12.19 BibTeX
  45. 45. Frandi E. *Benucci A., Modeling responses to visual stimuli in the mouse cortex with recurrent neural networks, 2017 Dec, invited BibTeX
  46. 46. 仁科国之・高岸治人・井上-村山美穂・高橋英彦・坂上雅道・山岸俊男, 向社会的行動の遺伝的基盤, 2017 12 BibTeX
  47. 47. 松本淳平, 西丸広史, 高村雄策, 三村喬生, 浅場明莉, 鈴木航, 一戸紀孝, 南本敬史, 小野武年, 西条寿夫, げっ歯類とサルのためのオープンソース3次元ビデオ行動解析システムの開発と神経科学への応用, 2017 , reviewed BibTeX
  48. 48. 栁澤琢史, MEG-BMIによる幻肢痛の病態解明と治療法の開発, 2017 , invited BibTeX
  49. 49. 會下拓実, 丹野良介, 柳井啓司, CNNによる複数品食事画像の同時カロリー推定とそのモバイル実装, 2017 BibTeX
  50. 50. 仁科国之・高岸治人・井上-村山美穂・高橋英彦・坂上雅道・山岸俊男, アルギニンバソプレシン受容体遺伝子と向社会的行動の関連, 2017 11 BibTeX
  51. 51. Ishida H, Inoue K, Hoshi E, Takada M, Cells of origin of multisynaptic projections from amygdala to ventral premotor cortex in macaques , 2017 11, 生理学研究所、愛知県岡崎市 BibTeX
  52. 52. 栁澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹、神谷之康、齋藤洋一, MEGによる皮質可塑性障害の評価と制御, 2017 , invited BibTeX
  53. 53. 山下 祐一, 認知(障害)原理を検証する神経回路モデルの開発と評価, 2017 11, invited BibTeX
  54. 54. *小津野将, 内部英治, 銅谷賢治, ギャップ増強を利用した頑健かつ効率的なoff-policy policy evaluation, 2017 , 東京大学,東京都文京区, 2017.11.9 BibTeX
  55. 55. T. Kozuno*, E. Uchibe, and K. Doya, Robust and Efficient Off-Policy Policy Evaluation via Enhanced Action-Gap, 2017 BibTeX
  56. 56. 栁澤琢史, 脳波のリズム異常と制御, 2017 , invited BibTeX
  57. 57. 栁澤琢史、荒木俊彦、福間良平、小林真紀、押野悟、吉峰俊樹、貴島晴彦, 脳磁図による側頭葉てんかんのネットワーク解析, 2017 BibTeX
  58. 58. 銅谷賢治, 脳内シミュレーションの神経機構, 2017 , 沖縄コンベンションセンター,沖縄, 2017.10.26, invited BibTeX
  59. 59. Takufumi Yanagisawa, Ryohei Fukuma, Kotaro Edakawa, Hideki Okada, Toshihiko Araki, Satoru Oshino, Maki Kobayashi, Masataka Tanaka, Shyota Yamamoto, Toshiki Yoshimine, Tatsuya Harada, Haruhiko Kishima, Development of an epilepsy diagnostic tool using artificial intelligence and cross-frequency coupling, 2017 BibTeX
  60. 60. 丹野 良介, 泉 裕貴, 柳井 啓司, CoreMLによるiOS深層学習アプリの実装と性能分析, 2017 BibTeX
  61. 61. 會下 拓実, 柳井 啓司, CNNによる複数料理写真からの同時カロリー量推定, 2017 BibTeX
  62. 62. *疋田貴俊, 意思決定と薬物依存における大脳基底核神経回路機構, 2017 , invited BibTeX
  63. 63. *疋田貴俊, 認知学習と精神疾患における神経回路機構, 2017 , invited BibTeX
  64. 64. 平山 淳一郎, Aapo Hyvärinen, 小川 剛史, 守谷 大樹, 川鍋 一晃, 積層独立成分分析(SPLICE)による神経科学データ解析, 2017 BibTeX
  65. 65. *Hikida T, Dual neural circuits in reward and aversive learning, 2017 , invited BibTeX
  66. 66. 銅谷賢治, 「脳内シミュレーション」の神経回路を可視化する, 2017 , 千里ライフサイエンス振興財団,大阪, 2017.9.19 BibTeX
  67. 67. 上野賢一、鈴木千里、春花健児、田中啓治, Optimization of head motion parameter regression procedure in teh date preprocessing for fMRI studies, 口頭発表 BibTeX
  68. 68. Shubha Gupta, Kang Cheng, Keiji Tanaka, and R. Allen Waggoner, RF-induced temperature increase in a phantom: comparison of numerical simulations, MR thermometry and temperature sensor measurements, 口頭発表 BibTeX
  69. 69. 春花健児、鈴木千里、田中啓治、上野賢一, ヒト全身用3テスラMRI装置によるマカクザル脳の撮像と画像処理の最適化, ポスター発表 BibTeX
  70. 70. 深井朋樹, 大脳皮質と海馬の神経集団活動から読み解く回路機能, 2017 , invited BibTeX
  71. 71. 春花健児、鈴木千里、田中啓治、上野賢一, ヒトfMRI撮像における被験者状態監視システムの構築, ポスター発表 BibTeX
  72. 72. 上野賢一、松田圭司、春花健児、鈴木千里、田中啓治, ヒトfMRI研究のための被験者眼球運動計測システムの構築, ポスター発表 BibTeX
  73. 73. 會下拓実, 柳井啓司, 食事画像カロリー量推定における回帰による手法と検索による手法の比較, 2017 BibTeX
  74. 74. 下田 和, 柳井 啓司, 完全教師あり学習手法を用いた弱教師あり領域分割におけるシード領域生成方法の改良, 2017 BibTeX
  75. 75. J. Chikazoe, パターン解析により明らかにされた主観的価値・味覚の神経基盤, 2017 , 招待講演 BibTeX
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  77. 77. 深井朋樹, 外界をモデル化する脳の回路メカニズム ―海馬と大脳皮質, 2017 , invited BibTeX
  78. 78. 下田 和, 柳井 啓司, 弱教師あり領域分割のための一貫性に基づく学習画像の領域分割容易性推定, 2017 , pp.PS2-48 BibTeX
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  81. 81. 長野 哲也, 會下 拓実, 柳井 啓司, Twitter画像に対する地域別画像タイプの大規模分析, 2017 , pp.PS2-36 BibTeX
  82. 82. 成沢 淳史, 柳井 啓司, Neural Style TransferとCycle GANを利用したフォント変換, 2017 , pp.PS2-26 BibTeX
  83. 83. 伊藤 祥文, Jaehyeong Cho, 柳井 啓司, Conditional GAN を用いた複数詳細カテゴリ画像の合成, 2017 , pp.PS1-25 BibTeX
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  86. 86. Doya K, Neural coding, brain imaging and information extraction by circuit modeling, 2017 , 東京大学,東京都文京区, 2017.7.24, invited BibTeX
  87. 87. T. Yoshimoto, J. Chikazoe, S. Okazaki, M. Sumiya, H. K. Takahashi, E. Nakagawa, T. Koike, R. Kitada, S. Okamoto, M. Nakata, H, Kosaka, T. Yada, N. Sadato , State-dependent and -independent food representations revealed by multivoxel pattern analysis, 2017 , ポスター BibTeX
  88. 88. Uezono S, Tsuge H, Tanabe S, Fujiwara M, Nagaya N, Nagaya K, Inoue K, Takada M, Organization of multisynaptic inputs from the basal ganglia and cerebellum to the cingulate cortex in common marmosets as revealed by retrograde transneuronal labeling with rabies virus., 2017 7, 幕張メッセ、千葉県千葉市 BibTeX
  89. 89. 濱口航介 , 温度操作と膜電位記録が明らかにする歌のタイミング制御ネットワーク, 2017 , ポスター発表 BibTeX
  90. 90. Inoue K, Fujiwara M, Uezono S, Tanabe S, Tsuge H, Nagaya N, Nagaya K, Ishida H, Hoshi E, Takada M, Organization of multisynaptic inputs from the basal ganglia to the dorsal and ventral premotor cortices in macaque monkeys: retrograde transneuronal dual tracing with fluorescent rabies viral vectors., 2017 7, 幕張メッセ、千葉県千葉市 BibTeX
  91. 91. Yutaka Komura*, The primate model with metacognitive ability and disability, 2017 , invited& BibTeX
  92. 92. 鈴木真介, 価値とリスク評価の神経基盤:その基礎と社会的伝染, 2017 , 口頭発表 BibTeX
  93. 93. 田中啓治, 高空間分解能でのfMRI研究, 教育講演 BibTeX
  94. 94. R Allen Waggoner, An overview of high-resolution fMRI studies at RIKEN-BSI from V1 to the temporal lobe, シンポジウム BibTeX
  95. 95. Topi Tanskanen, Chien-Hui Tancy Kao, R. Allen Waggoner, Ken Ueno, Keiji Tanaka, and Kang Cheng, Category tuning in the human face selective areas assessed with high0resolution fMRI., 口頭発表 BibTeX
  96. 96. Anthony M Lam, Topi Tanskanen, Chien-Hui Tancy Kao, Y Kuno, Keiji Tanaka, and Kang Cheng, Reconstructing perceived faces from human brain activity, ポスター発表 BibTeX
  97. 97. *Hikida T, Basal ganglia circuit mechanisms for flexible behavio, 2017 , invited BibTeX
  98. 98. J. Chikazoe, Importance of pattern analysis for exploring shared neural correlates across modalities, 2017 , 座長兼発表者 BibTeX
  99. 99. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Toshiki Yoshimine, Yukiyasu Kamitani, Youichi Saitoh, Induction of sensorimotor plasticity altered pain in phantom limb patients with instructions to not move the phantom hand, 2017 BibTeX
  100. 100. 銅谷賢治, 大脳基底核の機能モデル・病態モデルと実験的検証, 2017 , 愛知県西尾市吉良町, 2017.7.1, invited BibTeX
  101. 101. 上園 志織、田辺 創思、藤原 真紀、柘植 仁美、中村 克樹、井上 謙一、高田 昌彦, マーモセットにおける大脳基底核から帯状皮質への多シナプス性入力様式, 2017 7, 三河湾リゾートリンクス、愛知県西尾市 BibTeX
  102. 102. 山下 祐一、片平 健太郎, 研究領域基準(RDoC)は有効か? 計算モデルによる精神医学研究ストラテジー評価方法の提案, 2017 6 BibTeX
  103. 103. 柳澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹、神谷之康、齋藤洋一, 皮質可塑性の制御による幻肢痛の病態解明と治療, 2017 BibTeX
  104. 104. 丹野良介, 下田和, 柳井啓司, 複数スタイルの融合と部分的適用を可能とする Multi-style Feed-forward Network の提案, 2017 BibTeX
  105. 105. 栁澤琢史, MEG-BMIによる幻肢痛の病態解明と治療, 2017 , invited BibTeX
  106. 106. *小島大樹,土井樹,池上高志, DCGANの作る仮想世界と現実空間のMap, 2017 BibTeX
  107. 107. 冨山 翔司、味曽野 雅史、鈴木 雅大、中山 浩太郎、松尾 豊, 画像とテキストの潜在的な意味情報を用いたニューラル翻訳モデルの提案, 2017 5 BibTeX
  108. 108. 會下拓実, 柳井啓司, 食事レシピ情報を利用した食事画像からのカロリー量推定, 2017 BibTeX
  109. 109. 松尾真, 下田和, 柳井啓司, 画像スタイル変換とWeb 画像を用いた画像の任意質感生成, 2017 BibTeX
  110. 110. *疋田貴俊, 柔軟な行動のための大脳基底核神経回路の恒常性維持機構とその破綻, 2017 , invited BibTeX
  111. 111. 橋本さゆり,小林一郎, 深層強化学習を用いた動作制御に関する一考察, 2017 BibTeX
  112. 112. 野匡隼,中村友昭,長井隆行,持橋大地,小林一郎,金子正秀, 階層ディリクレ過程による動作クラス数推定を導入したGP-HSMMによる連続動作からの基本動作抽出, 2017 BibTeX
  113. 113. 柳澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹, MEG Neurofeedbackによる幻肢痛治療, 2017 BibTeX
  114. 114. R. Allen Waggoner, Topi Tanskanen, Keiji Tanaka, and Kang Cheng, Impact of multi-band EPI on serial autocorrelations, 口頭発表 BibTeX
  115. 115. Shubha Gupta, R. Allen Waggoner, Keiji Tanaka, and Kang Cheng, Size and Position of load affects the mutual coupling between the elements of array coil, 口頭発表 BibTeX
  116. 116. Shubha Gupta, R. Allen Waggoner, Keiji Tanaka, and Kang Cheng, Comparison of temperature increase in a phantom, calculated by the numerical simulations, measured by the MR thermometry and by the temperature sensors, 口頭発表 BibTeX
  117. 117. 中原裕之, 意思決定と社会知性:その脳計算理解に向けて, 2017 , 招待講演 BibTeX
  118. 118. *疋田貴俊, 認知学習におけるドーパミンD2L受容体の役割解析, 2017 , invited BibTeX
  119. 119. 坂上雅道, 意思決定にかかわる2つの神経回路とその相互作用, 2017 2 BibTeX
  120. 120. 柳澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹、神谷之康、齋藤洋一, BMIによる幻肢痛の病態解明と新たな治療法開発, 2017 BibTeX
  121. 121. 栁澤琢史、平岡寿公、小林真紀、福間良平、荒木俊彦、押野悟、吉峰俊樹、貴島晴彦, 側頭葉てんかんにおける発作間欠期てんかん性活動のネットワーク, 2017 BibTeX
  122. 122. 福田 玄明, Ning Ma, 鈴木 真介, 原澤 寛浩, 上野 賢一, Gardner Justin L, 一戸 紀孝, 春野 雅彦, Cheng Kang, 中原 裕之, Neural mechanisms and computation that mediates value by others’ reward for decision making, 2017 BibTeX
  123. 123. Ning Ma, 原澤 寛浩, 上野 賢一, 一戸 紀孝, 春野 雅彦, Cheng Kang, 中原 裕之, Neural mechanisms for deciding with predicting others, 2017 BibTeX
  124. 124. Sho Ito, Hiroaki Gomi, Impact of changes in visual feedback on long-latency stretch reflex during visually guided movement, 2017 BibTeX
  125. 125. Takamuku S, Forbes P, Hamilton A, Gomi H , Inverse dynamics computation in adults with autism – Examination based on perceptual biases., 2017 BibTeX
  126. 126. 高椋慎也,永澤知幸,五味裕章 , オプティックフローに基づく歩行速度調節は距離推定に依存する, 2017 BibTeX
  127. 127. 安部川 直稔,五味 裕章, 姿勢環境に応じて修飾される反射性視覚腕応答第40回 日本神経科学大, 2017 BibTeX
  128. 128. 伊藤 翔, 五味 裕章, Impact of adaptation to mirror-reversed visual feedback on modulation of long-latency stretch reflex , 2017 BibTeX
  129. 129. 高椋 慎也, 永澤 知幸,五味 裕章, オプティックフローによる歩行速度調節の恒常性, 2017 BibTeX
  130. 130. Takamuku Shinya, Gomi Hiroaki, Constancy of walking speed adjustment based on optic flow depends on monocular and binocular depth cues, 2018 BibTeX
  131. 131. Ueda Hiroshi, Abekawa Naotoshi, Gomi Hiroaki, Temporal integration of sensory evidence for position representation of a moving object containing motion signal in perceptual and motor decision making, 2017 BibTeX
  132. 132. 中原裕之, Basal ganglia, reinforcement learning and beyond, 2016 , 招待講演 BibTeX
  133. 133. *疋田貴俊、林勇一郎、澤明, 変異型DISC1トランスジェニックマウスは場所選好試験において海馬CA1場所細胞の報酬関連活動の低下を示す, 2016 BibTeX
  134. 134. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens neurons is necessary for behavioral flexibility in an IntelliCage place discrimination task., 2016 BibTeX
  135. 135. 坂上雅道, 脳と心の接点を探る研究の最前線日本理論心理学会第62回大会シンポジウム, 2016 11 BibTeX
  136. 136. 中原裕之, 脳科学のデータ同化展望:モデルベースドfMRIを起点に, 2016 , 招待講演 BibTeX
  137. 137. *疋田貴俊, ドパミンによる大脳基底核神経回路の制御機構, 2016 , invited BibTeX
  138. 138. 白砂大,松香俊彦, 問題文と選択肢の双方の熟知量に基づく推論, 2016 BibTeX
  139. 139. R. Allen Waggoner, Topi Tanskanen, Keiji Tanaka, and Kang Cheng, Serial Autocorrelations and Multiband fMRI, ポスター発表 BibTeX
  140. 140. Shubha Gupta, R. Allen Waggoner, Keiji Tanaka, and Kang Cheng, Effect of load size and load position on coupling between the elements of an array coil, 口頭発表 BibTeX
  141. 141. *疋田貴俊, 神経回路から精神疾患病態へ, 2016 , invited BibTeX
  142. 142. *疋田貴俊, 認知学習における大脳基底核神経回路機構, 2016 , invited BibTeX
  143. 143. 田中啓治, エキスパートの直観を司る神経ネットワーク, 2016 , 教育講演m invited BibTeX
  144. 144. Topi Tanskanen, Chien-Hui Tancy Kao, R. Allen Waggoner, Keiji Tanaka, and Kang Cheng, Columnar scale representation of faces in the human inferotemporal cortex, 2016 , ポスター発表 BibTeX
  145. 145. Chien-Hui Tancy Kao, Topi Tanskanen, Kenichi Ueno, R. Allen Waggoner, Keiji Tanaka, and Kang Cheng, Columnar organization of face orientation procession I human occipital face area, 2016 , ポスター発表 BibTeX
  146. 146. Florian Gerard-Mercier and Keiji Tanaka, Synchronous beta oscillations in the fronto-striatal loop for behavioral rule switching in macaque monkeys, 2016 , ポスター発表 BibTeX
  147. 147. Farshad A. Mansouri and Keiji Tanaka, The role of frontal pole cortex in primate goal-directed behaviour, 2016 , シンポジウム, invited BibTeX

書 籍

  1. 1. J Chikazoe, S Konishi, Chapter “Functional Neuroimaging Approaches to Human Memory” in book: Memory in a Social Context, 2017 Dec BibTeX
  2. 2. Keiji Tanaka, Mark J. Buckley, and Farshad A. Mansouri, Functional division among prefrontal cortical areas in an analog of Wisconsin Card Sorting Test, 2017 , Prefrontal cortex as an executive, emotional and social brain, (ed.) Watanabe M, Springer, pp. 17-38, Book chapter BibTeX
  3. 3. 森本淳,杉本徳和, 高次元・実環境における強化学習, 2016 10, # BibTeX

受賞

  1. 1. Makoto Hayase, Yasuo Mori, Tomotaka Miki, Toshiya Murai, Hidehiko Takahashi, Neural basis of impaired strategic reasoning in schizophrenia, Poster Award BibTeX
  2. 2. 松本正幸, 日本学術振興会賞, 2016 BibTeX
  3. 3. 松本正幸, 茨城県科学技術振興財団 つくば奨励賞, 2017 BibTeX
  4. 4. 小林 亮太, CCS研究会 奨励賞, 2017 BibTeX
  5. 5. 安部川 直稔, Different spatial eye-hand coordination forms distinct motor memories in implicit visuomotor adaptation, 2018 BibTeX
  6. 6. 丹野良介,會下拓実,柳井啓司, AR DeepCalorieCam: AR表示型食事カロリー量推定システム BibTeX
  7. 7. 栁澤琢史, 異能vationジェネレーションアワード企業特別賞 BibTeX
  8. 8. 栁澤琢史, バイオインダストリー奨励賞 BibTeX
  9. 9. 疋田貴俊, 日本神経精神薬理学会第6回学術奨励賞, 2017 BibTeX
  10. 10. Takufumi Yanagisawa, BCI award BibTeX
  11. 11. 丹野 良介, 泉 裕貴, 柳井 啓司, ConvDeconvNetの効率的モバイル実装による 画像変換・物体検出・領域分割リアルタイムiOSアプリ群 BibTeX
  12. 12. Ryosuke Tanno, Keiji Yanai, Unseen Style Transfer Network BibTeX
  13. 13. 鈴木真介, 平成29年度科学技術分野の文部科学大臣表彰・若手科学者賞, 2017 BibTeX
  14. 14. , メディア芸術祭・優秀賞, 2017 BibTeX
  15. 15. 五味裕章, 電子情報通信学会 フェロー BibTeX
  16. 16. Takufumi Yanagisawa, 中谷賞奨励賞 BibTeX
  17. 17. 疋田貴俊, 日本生物学的精神医学会若手研究者育成プログラム最優秀奨励賞, 2016 BibTeX
  18. 18. 森田真規子, 日本生物学的精神医学会国際学会発表奨励賞, 2016 BibTeX
  19. 19. Tom Macpherson, JNS-SfN exchange travel award, 2016 BibTeX

報道発表

  1. 1. , 念じて義手を動かせば痛みが和らぐ!? BibTeX
  2. 2. Akira Tachiyama (Photon Create), 機械学習と実験により、脳の普遍的な計算原理を探る, 2018 , 439, http://www.riken.jp/~/media/riken/pr/publications/news/2018/rn201801.pdf BibTeX
  3. 3. Lauren Davis, When the cat’s away, the mice will train, 2017 , http://www.labonline.com.au/content/computing-hardware-software/article/when-the-cat-s-away-the-mice-will-train-965389062 BibTeX
  4. 4. , AIについて BibTeX
  5. 5. RIKEN press, Moving neuroscience into the fast lane, 2017 , https://medicalxpress.com/news/2017-10-neuroscience-fast-lane.html BibTeX
  6. 6. RIKEN press, Moving neuroscience into the fast lane, 2017 , http://www.sciencenewsline.com/news/2017103014510015.html BibTeX
  7. 7. RIKEN press, Moving neuroscience into the fast lane, 2017 , https://www.alnmag.com/news/2017/10/moving-neuroscience-fast-lane BibTeX
  8. 8. RIKEN press, Moving neuroscience into the fast lane, 2017 , https://www.eurekalert.org/pub_releases/2017-10/r-mni102717.php BibTeX
  9. 9. , ミチを開く BibTeX
  10. 10. , サイエンスBOX 研究進む「ニューロフィードバック」 BibTeX
  11. 11. , 手足動かす想像で緩和 BibTeX

その他

  1. 1. , Long Time Good-bye, 2017 BibTeX
  2. 2. Jun Morimoto, Motor learning methods for humanoid control, 5, Invited# BibTeX
  3. 3. Jun Morimoto, Learning assistive strategies for exoskeleton robots, 11, Invited# BibTeX
  4. 4. 森本淳, ヒューマノイドロボットの運動学習, 8, Invited# BibTeX
  5. 5. *疋田貴俊, マウスの動きから脳のはたらきを知る, 2018 , 大阪大学いちょう祭蛋白質研究所公開, 高校生向け講演会 BibTeX
  6. 6. 森本淳, ヒューマノイドロボットのための人工知能, 3, Invited# BibTeX
  7. 7. Yu Takagi, Jun-ichiro Hirayama, Saori C Tanaka, State-Unspecific Modes of Whole-Brain Functional Connectivity Predict Intelligence and Life Outcomes, # BibTeX
  8. 8. 中原裕之, 裁判所職員研修, 理化学研究所, 2018 3 BibTeX
  9. 9. , ALIFE, 2018 BibTeX
  10. 10. 三村 喬生, R初心者セッション -Data import/Export, 第68回 Tokyo.R BibTeX
  11. 11. Jun Morimoto, Learning assistive strategies for BMI exoskeleton robots, 1, Invited# BibTeX
  12. 12. 三村 喬生, R初心者セッション -Data manipulation, 第67回 Tokyo.R BibTeX
  13. 13. 三村 喬生, 自然非言語への挑戦, 第4回 Language & Robotics研究会 BibTeX
  14. 14. , マリア・人工生命・膜・魚, 2018 BibTeX
  15. 15. 三村 喬生, R初心者セッション -Data manipulation, 第66回 Tokyo.R BibTeX
  16. 16. 森本淳, ヒト型ロボットの運動学習とヒトの運動支援戦略, 12, Invited# BibTeX
  17. 17. , 新しい動きと新しい現実, 2017 BibTeX
  18. 18. *疋田貴俊, 脳で働くタンパク質、脳を調べるタンパク質, 2017 , 大阪大学リサーチクラウドカフェ, 一般向け講演会 BibTeX
  19. 19. Tadashi Kozuno*, Eiji Uchibe, and Kenji Doya, Unifying value iteration, advantage learning, and dynamic policy programming, 2017 BibTeX
  20. 20. E. Uchibe*, Deep inverse reinforcement learning, 2017 October, invited# BibTeX
  21. 21. , The Future of AI in the Arts, 2017 BibTeX
  22. 22. 内部英治*, ディープNNによる順・逆強化学習, 2017 September, invited# BibTeX
  23. 23. OKAZAKI編集委員, 研究所だより, 54, 自然科学研究機構広報誌 BibTeX
  24. 24. 小村 豊, 無知の知を以て、未知の世界を渡らん, 京大・公開講座 BibTeX
  25. 25. 森本淳, 強化学習の基礎とロボット応用, 8, Invited# BibTeX
  26. 26. *疋田貴俊, こころをつくるタンパク質, 2017 , 蛋白質研究所セミナー, 高校生向け講演会 BibTeX
  27. 27. 小村 豊, 迷う私と悟る脳, 世界脳週間講演会 BibTeX
  28. 28. Amanda alvarez, Industry-academia collaboration builds the brain science assembly line, 2017 June, https://medium.com/neurographic/industry-academia-collaboration-builds-the-brain-science-assembly-line-9d85e990ac7b BibTeX
  29. 29. BSI Youth, High-throughput platform for training mouse behavior, 2017 June, https://www.youtube.com/watch?v=NOZs1B-frvg BibTeX
  30. 30. 近添淳一, こころを視る, 出前授業 BibTeX
  31. 31. 小村 豊, 迷う私と悟る脳, SSH特別講義 BibTeX
  32. 32. , AIと倫理, 2017 BibTeX
  33. 33. 三村 喬生, 初心者セッション3, 第60回 Tokyo.R BibTeX
  34. 34. 中原裕之, Computations for social decision-making, 2017 4 BibTeX
  35. 35. 中原裕之, BSI 脳科学研究者と異分野プロフェッショナルの対談イベント 第3回代官山蔦屋書店で脳科学∞つながる, 代官山蔦屋書店, 2016 11 BibTeX
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