PUBLICATIONS
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International Journal Paper

  1. 1. *Kentaro Katahira, Yuichi Yamashita, A theoretical framework for evaluating psychiatric research strategies., Computational Psychiatry, 2017 12, 1, 184-207, reviewed&# BibTeX
  2. 2. 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
  3. 3. *Jun Morimoto, Soft humanoid motor learning, Soft humanoid motor learning, 2017 12, 2, eaaq0989, reviewed&# BibTeX
  4. 4. 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
  5. 5. 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
  6. 6. *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
  7. 7. 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
  8. 8. 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
  9. 9. 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
  10. 10. *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
  11. 11. 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
  12. 12. *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
  13. 13. *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
  14. 14. 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
  15. 15. 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
  16. 16. 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
  17. 17. 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
  18. 18. *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
  19. 19. *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
  20. 20. *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
  21. 21. Eiji Uchibe, Model-Free Deep Inverse Reinforcement Learning by Logistic Regression, Neural Processing Letters, 2017 , reviewed# BibTeX
  22. 22. 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
  23. 23. 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
  24. 24. 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
  25. 25. 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
  26. 26. *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
  27. 27. 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
  28. 28. 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
  29. 29. 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
  30. 30. 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
  31. 31. 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
  32. 32. 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
  33. 33. 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
  34. 34. 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
  35. 35. *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
  36. 36. 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, invitedreviewed# BibTeX
  37. 37. 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
  38. 38. 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
  39. 39. 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
  40. 40. *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
  41. 41. 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
  42. 42. 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
  43. 43. 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
  44. 44. 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, invitedreviewed# BibTeX
  45. 45. *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
  46. 46. 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
  47. 47. 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
  48. 48. *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
  49. 49. 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
  50. 50. 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
  51. 51. *Lana Sinapayen, Atsushi Masumori, Takashi Ikegami, Learning by stimulation avoidance: A principle to control spiking neural networks dynamics., PLoS ONE, 2017 , reviewed BibTeX
  52. 52. *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
  53. 53. *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
  54. 54. 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
  55. 55. M. Furukawa and S. Shinomoto,, Inferring objects from a multitude of oscillations., Neural Computing and Applications, 2017 , 1-8, reviewed# BibTeX
  56. 56. Kobayashi R, Nishimaru H, Nishijo H, Lansky P, A single spike deteriorates synaptic conductance estimation, Biosystems, 2017 , 161, 41-45, reviewed BibTeX
  57. 57. 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
  58. 58. 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

Domestic Journal Paper

  1. 1. 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
  2. 2. *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
  3. 3. 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
  4. 4. 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
  5. 5. *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
  6. 6. 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
  7. 7. 栁澤琢史, 幻肢痛をBMIで治す, Clinical Neuroscience, 2017 , 35, 1, 356-7, & BibTeX
  8. 8. 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
  9. 9. So Fujimoto, Yutaka Komura*, The map of auditory function, Brain and Nerve, 2017 , 69, 471-478 BibTeX
  10. 10. 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

International Conference

  1. 1. 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
  2. 2. *Hikida T, Macpherson T, Nucleus accumbens D1 receptor expressing neurons control sutoshaping behavior., 2017 BibTeX
  3. 3. Macpherson T, *Hikida T, Dopamine D2L receptors control flexible behavior., 2017 BibTeX
  4. 4. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Toshiki Yoshimine, Yukiyasu Kamitani, Youichi Saitoh, MEG-Neurofeedback for phantom limb pain, 2017 BibTeX
  5. 5. *Tadahiro Taniguchi, Symbol Emergence in Robotics: from sensorimotor information to language, 2017 , invited BibTeX
  6. 6. Fukai T, Unsupervised reservoir computing for chunking sequence information., 2017 BibTeX
  7. 7. 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
  8. 8. *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
  9. 9. *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
  10. 10. *H. Moriya, T. Ogawa, M. Kawanabe, J. Hirayama, Predictability of amygdala BOLD signal from multiple-electrode EEGs, 2017 , reviewed# BibTeX
  11. 11. *Hikida T, Basal ganglia network mechanisms in cognitive learning, 2017 , invited BibTeX
  12. 12. 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
  13. 13. *Reinke C, Doya K, Adaptation of Optimization Algorithms to Problem Domains by Transfer Learning, 2017 , OIST, 2017.11.24 BibTeX
  14. 14. Benucci A., Sensory Representation Plasticity Driven by Single Neurons in the Mouse Cortex, 2017 Nov, Invited talk BibTeX
  15. 15. Doya K, What can we further learn from the brain?, 2017 , Guangzhou, China, 2017.11.16, invited BibTeX
  16. 16. *Jun-ichiro FURUKAWA, Asuka TAKAI,Jun MORIMOTO, Database-driven approach for biosignal-based robot control with collaborative filtering, 2017 11, reviewed# BibTeX
  17. 17. Haga T, Fukai T, Reverse replay strengthens forward pathways to reward through Hebbian learning and short-term depression., 2017 BibTeX
  18. 18. *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
  19. 19. 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
  20. 20. 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
  21. 21. 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
  22. 22. Tsubota T., *Benucci A., Plasticity for stimulus selectivity in the visual cortex of adult mice induced by patterned optogenetic stimulation, 2017 Nov BibTeX
  23. 23. Asabuki T, Fukai T, Chunk learning from complex sequences by mutually supervising recurrent neural networks, 2017 BibTeX
  24. 24. DeCostanzo A, Fukai T, A local supervised learning rule protects memories from catastrophic interference during subsequent unsupervised learning., 2017 BibTeX
  25. 25. 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
  26. 26. 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
  27. 27. 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
  28. 28. 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
  29. 29. Sidney Lehky, A Phan, A Cichocki, and Keiji Tanaka, Coding of faces by tensor components, ポスター発表 BibTeX
  30. 30. Kurikawa T, Handa T, Fukai T, Instability of neural trajectories in medial frontal cortex predicts individual differences in perceptual decision making., 2017 BibTeX
  31. 31. 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
  32. 32. Macpherson T, *Hikida T, Nucleus Accumbens D1 receptor expressing neurons control autoshaping behavior, 2017 BibTeX
  33. 33. *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
  34. 34. Inoue K, Pathway-selective optogenetics for elucidating neural network function in primates., 2017 11, invited, Washington, DC, USA BibTeX
  35. 35. *Parmas P, Peters J, Doya K, The optimal-baseline estimator is not the optimal baseline-estimator, 2017 , Tokyo, Japan, 2017.11.10 BibTeX
  36. 36. 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
  37. 37. Mao Noguchi, So Fujimoto, Akihiko Nikkuni, Yutaka Komura*, Core of neural network for conscious states and percepts in primate, 2017 , invited BibTeX
  38. 38. *Sayuri Hashimoto and Ichiro Kobayashi, A Basic Study on Action Control Using Deep Reinforcement Learning, 2017 , reviewed BibTeX
  39. 39. *Hikida T, Neuronal circuit mechanisms in reward and aversive behavior., 2017 , invited BibTeX
  40. 40. *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
  41. 41. *Maruyama, N., Hashimoto, Y., Mototake, Y., Saito, D., & Ikegami, T, Revisiting Classification of Large Scale Flocking, 2017 , reviewed BibTeX
  42. 42. *Hashimoto, Y., Ikegami, T, Novelty production in tagging crowds, 2017 , reviewed BibTeX
  43. 43. 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
  44. 44. *Reinke C, Uchibe E, Doya K, Average Reward Optimization with Multiple Discounting Reinforcement Learners, 2017 , Guangzhou, China, 2017.10.24 BibTeX
  45. 45. Doya K, Artificial Intelligence and Brain Science, 2017 , Kyungpook National University, Daegu, Korea, 2017.10.19 BibTeX
  46. 46. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, 2017 , invited BibTeX
  47. 47. Takanori Uka, Neural mechanism of flexible sensory decision making, invited BibTeX
  48. 48. BibTeX
  49. 49. Masamichi Sakagami, Dissociable functions of reward inference in the lateral prefrontal cortex and the striatum, 2017 10, invited BibTeX
  50. 50. *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
  51. 51. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control Pavlovian approach behaviour., 2017 BibTeX
  52. 52. Takufumi Yanagisawa, BMI robotic hand controls phantom limb pain, 2017 , invited BibTeX
  53. 53. *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
  54. 54. *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
  55. 55. *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
  56. 56. Hayakawa T, Fukai T, Interplay of microscopic and macroscopic dynamics in randomly connected neuronal networks. , 2017 BibTeX
  57. 57. *Sinapayen, L., & Ikegami, T, Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network, 2017 , reviewed BibTeX
  58. 58. *Hiroki Kojima,Takashi Ikegami, VAEGAN as a New Perception Model, 2017 , reviewed BibTeX
  59. 59. *Masumori, A., Sinapayen, L., & Ikegami, T, Learning by Stimulation Avoidance Scale to Large Neural Networks, 14th European Conference on Artificial Life, 2017 , reviewed BibTeX
  60. 60. *Doi, I., Ikegami, T., Masumori, A., Kojima, H., Ogawa K., & Ishiguro, H, A new design principle for an autonomous robot, 2017 , reviewed BibTeX
  61. 61. Nakahara H., Reinforcement learning with environmental structures and mind of others, 2017 , invited talk BibTeX
  62. 62. Akihiko Nikkuni, Yutaka Komura*, Self-evaluation in vision in monkeys and humans, 2017 , invited BibTeX
  63. 63. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control attribution of incentive salience in an autoshaping task., 2017 BibTeX
  64. 64. Doya K, Reinforcement learning: basic concepts and recent advances, 2017 , Beijing Institute of Technology, China, 2017.8.16-18, invited BibTeX
  65. 65. Doya K, Neural mechanisms of reinforcement learning and mental simulation, 2017 , Beijing Institute of Technology, China, 2017.8.16-18, invited BibTeX
  66. 66. 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
  67. 67. *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 7, reviewed# BibTeX
  68. 68. *Honda, H., Matsuka, T., & Ueda, K., Decisions based on verbal probabilities: Decision bias or decision by sampling?, 2017 7, reviewed# BibTeX
  69. 69. 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
  70. 70. Doya K, Decoding the contents of mental simulation, 2017 , University of Tokyo, Tokyo, 2017.7.24, invited BibTeX
  71. 71. Asabuki T, Hiratani N, Fukai T, Chunking by mutual supervision in reservoir computing., 2017 , invited BibTeX
  72. 72. Doya K, Exploring the deep brain network for reinforcement learning, 2017 , Makuhari Messe, Chiba, 2017.7.21, invited BibTeX
  73. 73. 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
  74. 74. 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
  75. 75. 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
  76. 76. Keiji Tanaka, Object recognition in inferotemporal cortex: from visual features to semantics, 基調講演, invited BibTeX
  77. 77. Eiji Uchibe* and Kenji Doya, Model-free deep inverse reinforcement learning by logistic regression, 2017 , reviewed# BibTeX
  78. 78. Doya K, What should we further learn from the brain?, 2017 , NYU Shanghai, Shanghai, China, 2017.7.7, invited BibTeX
  79. 79. Nakahara H., Learning to make reward-guided decisions: sequential, successive, and social, 2017 , invited talk BibTeX
  80. 80. Doya K, What should we further learn from the brain?, 2017 , Kyungpook National University, Daegu, Korea, 2017.7.3, invited BibTeX
  81. 81. Keiji Tanaka, Object recognition in inferotemporal cortex: from visual features to semantics, 基調講演, invited BibTeX
  82. 82. 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
  83. 83. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control incentive salience to reward-predictive cues., 2017 , invited BibTeX
  84. 84. *Hikida T, Morita M, Macpherson T, D2L receptor-expressing striatal neurons control visual discrimination learning in a touchscreen operant system., 2017 BibTeX
  85. 85. 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
  86. 86. Masamichi Sakagami, Categorical coding of stimulus and inference of the value in the monkey lateral prefrontal cortex, 2017 6, invited BibTeX
  87. 87. *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
  88. 88. 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
  89. 89. *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
  90. 90. *Tadahiro Taniguchi, Semantic Segmentation of Driving Behavior Data: Double Articulation Analyzer and its Application, 2017 , invited BibTeX
  91. 91. *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
  92. 92. Koki Mimura, Keiko Nakagaki, Noritaka Ichinohe, Distrbed Vocal Communication in Common Marmoset Family with an Autism-Model Child, 2017 May, invited BibTeX
  93. 93. Nakahara H., Neural computations underlying social decision-making, 2017 , invited talk BibTeX
  94. 94. Nakahara H., Learning to make reward-guided decisions: sequential, successive, and social, 2017 , invited talk BibTeX
  95. 95. Hidehiko Takahashi, Interface between AI and psychiatric research. , 2017 , invited BibTeX
  96. 96. Masamichi Sakagami, Categorical Coding of Stimulus and Inference of the Value in the Monkey Lateral Prefrontal Cortex, 2017 5 BibTeX
  97. 97. 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
  98. 98. 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
  99. 99. Haga T, Fukai T, Dendritic computing gives a meso-scopic level framework of brain’s leaning rule. , 2017 , invited BibTeX
  100. 100. J. Chikazoe, Integrated Taste Type Representations in Human Insula, 2017 , oral BibTeX
  101. 101. 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
  102. 102. Masamichi Sakagami, The reward prediction error signal of midbrain dopamine neuron is modulated by the cost paid for the reward, 2017 4, invited BibTeX
  103. 103. Doya K, Coding of action and state values in the striatal compartments, 2017 , Merida, Mexico, 2017.3.29, invited BibTeX
  104. 104. 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
  105. 105. Abekawa Naotoshi, Gomi Hiroaki, Modulation difference in visuomotor responses in implicit and explicit motor tasks depending on postural stability, 2017 BibTeX
  106. 106. Ito Sho, Gomi Hiroaki, Rotated visual feedback of self-movement affects long-latency stretch reflex, 2017 BibTeX
  107. 107. Takamuku Shinya, Abekawa Naotoshi,Gomi Hiroaki, Automatic adjustment of walking speed by optic flow benefits from binocular vision, 2017 BibTeX
  108. 108. 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
  109. 109. *Tadahiro Taniguchi, Symbol Emergence in Robotics: Representation Learning for Real-world Communication and Collaboration, 2017 , invited BibTeX
  110. 110. Ikegami, T, THE FUTURE OF AI IN THE ARTS , 2017 , invited BibTeX
  111. 111. Ikegami, T, 2017 , invited BibTeX
  112. 112. Ikegami, T, 2017 , invited BibTeX
  113. 113. S. Shinomoto, Emergence of cascades in the linear and nonlinear Hawkes processes, 2017 , invited BibTeX
  114. 114. S. Shinomoto, Inferring the source of fluctuation in neuronal activity, 2017 June, invited BibTeX
  115. 115. Wataru Shimoda and Keiji Yanai, Predicting Segmentation Easiness from the Consistency for Weakly-Supervised Segmentation, 2017 11, reviewed BibTeX
  116. 116. Takumi Ege and Keiji Yanai, Estimating Food Calories for Multiple-dish Food Photos, 2017 11, reviewed# BibTeX
  117. 117. Takumi Ege and Keiji Yanai, Image-Based Food Calorie Estimation Using Knowledge on Food Categories, Ingredients and Cooking Directions, 2017 10, reviewed# BibTeX
  118. 118. Takumi Ege and Keiji Yanai, Comparison of Two Approaches for Direct Food Calorie Estimation, 2017 9, reviewed# BibTeX
  119. 119. Shin Matsuo, Wataru Shimoda and Keiji Yanai, Partial Style Transfer Using Weakly-Supervised Semantic Segmentation, 2017 7, reviewed BibTeX
  120. 120. Keiji Yanai and Ryosuke Tanno, Conditional Fast Style Transfer Network, 2017 6, reviewed BibTeX
  121. 121. Takumi Ege and Keiji Yanai, Simultaneous Estimation of Food Categories and Calories with Multi-task CNN, 2017 5, reviewed BibTeX
  122. 122. Keiji Yanai, Unseen Style Transfer Based on a Conditional Fast Style Transfer Network, 2017 4, reviewed BibTeX
  123. 123. Shin Matsuo, Wataru Shimoda and Keiji Yanai, Twitter Photo Geo-Localization Using Both Textual and Visual Features, 2017 4, reviewed BibTeX
  124. 124. Wataru Shimoda and Keiji Yanai, Learning Food Image Similarity for Food Image Retrieval, 2017 4, reviewed BibTeX

Domestic Conference

  1. 1. 栁澤琢史, Brain-Machine Interfaceによる幻肢痛治療, 2017 , invited BibTeX
  2. 2. 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
  3. 3. *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
  4. 4. Frandi E. *Benucci A., Modeling responses to visual stimuli in the mouse cortex with recurrent neural networks, 2017 Dec, invited BibTeX
  5. 5. 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
  6. 6. 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
  7. 7. 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
  8. 8. 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
  9. 9. 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
  10. 10. 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
  11. 11. 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
  12. 12. 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
  13. 13. *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
  14. 14. T. Kozuno*, E. Uchibe, and K. Doya, Robust and Efficient Off-Policy Policy Evaluation via Enhanced Action-Gap, 2017 BibTeX
  15. 15. 栁澤琢史, 脳波のリズム異常と制御, 2017 , invited BibTeX
  16. 16. 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
  17. 17. 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
  18. 18. 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
  19. 19. *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
  20. 20. 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
  21. 21. 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
  22. 22. *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
  23. 23. *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
  24. 24. 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
  25. 25. *Hikida T, Dual neural circuits in reward and aversive learning, 2017 , invited BibTeX
  26. 26. 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
  27. 27. 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
  28. 28. 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
  29. 29. 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
  30. 30. 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
  31. 31. 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
  32. 32. 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
  33. 33. Yukiko Matsumoto, Shuraku Son, Akio Murakami, Satoshi Nishida, Shinji Nishimoto, Hidehiko Takahashi., Abnormal semantic representation in the brains of schizophrenia patients., 2017 BibTeX
  34. 34. 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
  35. 35. 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
  36. 36. 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
  37. 37. 銅谷賢治, ベイズ推定による脳機能モデルと脳データ解析, 2017 , 埼玉県和光市, 2017.8.4 BibTeX
  38. 38. 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
  39. 39. 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
  40. 40. 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 , pp.PS3-36 BibTeX
  41. 41. 會下 拓実, 柳井 啓司, Multi-task CNNを用いた食材および調理手順情報を利用した食事画像カロリー量推定, 2017 , pp.PS3-22 BibTeX
  42. 42. 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
  43. 43. 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
  44. 44. 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
  45. 45. 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, 2017 , pp.DS-12 BibTeX
  46. 46. Ryosuke Tanno, Keiji Yanai, Unseen Style Transfer Network, 2017 , pp.PS3-27 BibTeX
  47. 47. 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
  48. 48. 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
  49. 49. 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
  50. 50. 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
  51. 51. 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
  52. 52. Yutaka Komura*, The primate model with metacognitive ability and disability, 2017 , invited& BibTeX
  53. 53. 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
  54. 54. 田中啓治, 高空間分解能でのfMRI研究, 教育講演 BibTeX
  55. 55. 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
  56. 56. 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
  57. 57. 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
  58. 58. *Hikida T, Basal ganglia circuit mechanisms for flexible behavio, 2017 , invited BibTeX
  59. 59. J. Chikazoe, Importance of pattern analysis for exploring shared neural correlates across modalities, 2017 , 座長兼発表者 BibTeX
  60. 60. 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
  61. 61. 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
  62. 62. 高橋　英彦, 人工知能と統合失調症研究の接点., 2017 , invited BibTeX
  63. 63. 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
  64. 64. 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
  65. 65. 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
  66. 66. 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
  67. 67. 栁澤琢史, MEG-BMIによる幻肢痛の病態解明と治療, 2017 , invited BibTeX
  68. 68. *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
  69. 69. 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
  70. 70. 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
  71. 71. 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
  72. 72. *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
  73. 73. 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
  74. 74. 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
  75. 75. 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
  76. 76. 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
  77. 77. R. Allen Waggoner, Topi Tanskanen, Keiji Tanaka, and Kang Cheng, Impact of multi-band EPI on serial autocorrelations, 口頭発表 BibTeX
  78. 78. 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
  79. 79. 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
  80. 80. 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
  81. 81. *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
  82. 82. 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
  83. 83. 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
  84. 84. 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
  85. 85. 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
  86. 86. 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
  87. 87. Sho Ito, Hiroaki Gomi, Impact of changes in visual feedback on long-latency stretch reflex during visually guided movement, 2017 BibTeX
  88. 88. Takamuku S, Forbes P, Hamilton A, Gomi H , Inverse dynamics computation in adults with autism – Examination based on perceptual biases., 2017 BibTeX
  89. 89. 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
  90. 90. 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
  91. 91. 伊藤　翔, 五味　裕章, Impact of adaptation to mirror-reversed visual feedback on modulation of long-latency stretch reflex , 2017 BibTeX
  92. 92. 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
  93. 93. Takamuku Shinya, Gomi Hiroaki, Constancy of walking speed adjustment based on optic flow depends on monocular and binocular depth cues, 2018 BibTeX
  94. 94. 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
  95. 95. 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
  96. 96. 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
  97. 97. 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
  98. 98. 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
  99. 99. 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
  100. 100. 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
  101. 101. 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
  102. 102. 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
  103. 103. 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
  104. 104. 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
  105. 105. 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
  106. 106. 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
  107. 107. 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
  108. 108. 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

Book

  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

Prize

  1. 1. 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
  2. 2. 栁澤琢史, バイオインダストリー奨励賞 BibTeX
  3. 3. 疋田貴俊, 日本神経精神薬理学会第6回学術奨励賞, 2017 BibTeX
  4. 4. Takufumi Yanagisawa, BCI award BibTeX
  5. 5. 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
  6. 6. Ryosuke Tanno, Keiji Yanai, Unseen Style Transfer Network BibTeX
  7. 7. Makoto Hayase, Yasuo Mori, Tomotaka Miki, Toshiya Murai, Hidehiko Takahashi, Neural basis of impaired strategic reasoning in schizophrenia, Poster Award BibTeX
  8. 8. 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
  9. 9. , メディア芸術祭・優秀賞, 2017 BibTeX
  10. 10. 五味裕章, 電子情報通信学会 フェロー BibTeX
  11. 11. Takufumi Yanagisawa, 中谷賞奨励賞 BibTeX
  12. 12. 松本正幸, 茨城県科学技術振興財団　つくば奨励賞, 2017 BibTeX
  13. 13. 小林 亮太, CCS研究会 奨励賞, 2017 BibTeX

Press Release

  1. 1. 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
  2. 2. , AIについて BibTeX
  3. 3. RIKEN press, Moving neuroscience into the fast lane, 2017 , https://medicalxpress.com/news/2017-10-neuroscience-fast-lane.html BibTeX
  4. 4. RIKEN press, Moving neuroscience into the fast lane, 2017 , http://www.sciencenewsline.com/news/2017103014510015.html BibTeX
  5. 5. RIKEN press, Moving neuroscience into the fast lane, 2017 , https://www.alnmag.com/news/2017/10/moving-neuroscience-fast-lane BibTeX
  6. 6. RIKEN press, Moving neuroscience into the fast lane, 2017 , https://www.eurekalert.org/pub_releases/2017-10/r-mni102717.php BibTeX
  7. 7. , ミチを開く BibTeX
  8. 8. , サイエンスBOX 研究進む「ニューロフィードバック」 BibTeX
  9. 9. , 手足動かす想像で緩和 BibTeX

Other

  1. 1. 三村 喬生, R初心者セッション -Data manipulation, 第66回 Tokyo.R BibTeX
  2. 2. 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
  3. 3. Jun Morimoto, Learning assistive strategies for exoskeleton robots, 11, Invited# BibTeX
  4. 4. , 新しい動きと新しい現実, 2017 BibTeX
  5. 5. *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
  6. 6. Tadashi Kozuno*, Eiji Uchibe, and Kenji Doya, Unifying value iteration, advantage learning, and dynamic policy programming, 2017 BibTeX
  7. 7. E. Uchibe*, Deep inverse reinforcement learning, 2017 October, invited# BibTeX
  8. 8. , The Future of AI in the Arts, 2017 BibTeX
  9. 9. 内部英治*, ディープNNによる順・逆強化学習, 2017 September, invited# BibTeX
  10. 10. OKAZAKI編集委員, 研究所だより, 54, 自然科学研究機構広報誌 BibTeX
  11. 11. 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
  12. 12. 森本淳, 強化学習の基礎とロボット応用, 8, Invited# BibTeX
  13. 13. *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
  14. 14. , Long Time Good-bye, 2017 BibTeX
  15. 15. 小村　豊, 迷う私と悟る脳, 世界脳週間講演会 BibTeX
  16. 16. 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
  17. 17. BSI Youth, High-throughput platform for training mouse behavior, 2017 June, https://www.youtube.com/watch?v=NOZs1B-frvg BibTeX
  18. 18. 近添淳一, こころを視る, 出前授業 BibTeX
  19. 19. 小村　豊, 迷う私と悟る脳, SSH特別講義 BibTeX
  20. 20. , AIと倫理, 2017 BibTeX
  21. 21. Jun Morimoto, Motor learning methods for humanoid control, 5, Invited# BibTeX
  22. 22. 三村 喬生, 初心者セッション3, 第60回 Tokyo.R BibTeX
  23. 23. 中原裕之, Computations for social decision-making, 2017 4 BibTeX
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