PUBLICATIONS
Category
Year

International Journal Paper

  1. 1. Yamaguchi T, Lin D, Functions of medial hypothalamic and mesolimbic dopamine circuitries in aggression, Current Opinion in Behavioral Sciences, 2018 12, 24, 104-112, invitedreviewed BibTeX
  2. 2. 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
  3. 3. 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
  4. 4. Tatsuya Haga and Tomoki Fukai , Dendritic processing of spontaneous neuronal sequences for single-trial learning, Scientific Reports, 2018 October, 8, 1, 15166, reviewed BibTeX
  5. 5. Toshitake Asabuki, Naoki Hiratani and Tomoki Fukai, Interactive reservoir computing for chunking information streams, PLoS Computational Biology, 2018 October, 14, 10, e1006400, reviewed BibTeX
  6. 6. Sumitomo A, Yukitake H, Hirai K, Horike K, Ueta K, Chung Y, Warabi R, Yanagawa T, Kitaoka S, Furuyashiki T, Narumiya S, Hirano T, Niwa M, Sibille E, Hikida T, Sakurai T, Ishizuka K, Sawa A, Tomoda T, Ulk2 controls cortical excitatory-inhibitory balance via autophagic regulation of p62 and GABAA receptor trafficking in pyramidal neurons., Human Molecular Genetics, 2018 9, 27, 18, 3165-3176, reviewed# BibTeX
  7. 7. Hiroshi Ueda, Naotoshi Abekawa, Hiroaki Gomi, The faster you decide, the more accurate localization is possible: Position representation of curveball illusion in perception and eye movements, PLoS ONE, 2018 , 13, 8, e0201610, open access: https://doi.org/10.1371/journal.pone.0201610 BibTeX
  8. 8. *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
  9. 9. *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
  10. 10. Tatsuya Haga and *Tomoki Fukai, Recurrent network model for learning goal-directed sequences through reverse replay, Elife, 2018 July, 7, e34171, reviewed BibTeX
  11. 11. Higashida S, Nagai H, Nakayama K, Shinohara R, Taniguchi M, Nagai M, Hikida T, Yawata S, Ago Y, Kitaoka S, Narumiya S, Furuyashiki T, Repeated social defeat stress impairs attentional set shifting irrespective of social avoidance and increases female preference associated with heightened anxiety., Scientific Reports, 2018 7, 8, 1, 10454, reviewed BibTeX
  12. 12. Sun F, Zeng J, Jing M, Zhou J, Feng J, Owen SF, Luo Y, Li F, Yamaguchi T, Yong Z, Gao Y, Peng W, Wang L, Zhang S, Du J, Lin D, Xu M, Kreitzer AC, Cui G, Li Y, A genetically-encoded fluorescent sensor enables rapid and specific detection of dopamine in flies, fish, and mice., Cell, 2018 7, 174, 2, 481-496, reviewed BibTeX
  13. 13. *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 , 65, 4, 210-217, reviewed BibTeX
  14. 14. 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
  15. 15. 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
  16. 16. 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 , 12, 113 BibTeX
  17. 17. 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 BibTeX
  18. 18. 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
  19. 19. 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
  20. 20. 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
  21. 21. 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
  22. 22. 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
  23. 23. *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
  24. 24. *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
  25. 25. 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
  26. 26. *Yoshizawa T, Ito M, Doya K, Reward-predictive neural activities in striatal striosome compartments, eNeuro, 2018 , 5, 1, 0367, reviewed# BibTeX
  27. 27. 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
  28. 28. *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
  29. 29. *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
  30. 30. *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
  31. 31. Stefan Elfwing*, Eiji Uchibe, and Kenji Doya, Sigmoid-weighted linear units for neural network function approximation in reinforcement learning, Neural Networks, 2018 , reviewed# BibTeX
  32. 32. Kang Cheng, Exploration of human visual cortex using high spatial resolution functional magnetic resonance imaging, NeuroImage, 2018 , 164, 4-9, reviewed BibTeX
  33. 33. *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
  34. 34. 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
  35. 35. 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

Domestic Journal Paper

  1. 1. *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, 日本薬理学雑誌, 2018 12, 152, 6, 295-298, invited BibTeX
  2. 2. 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
  3. 3. 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
  4. 4. *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
  5. 5. 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
  6. 6. 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
  7. 7. 田中啓治, 将棋岸の直観と脳, Brain and Nerve, 2018 , 印刷中 BibTeX
  8. 8. 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
  9. 9. 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
  10. 10. 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
  11. 11. 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

International Conference

  1. 1. Hayakawa T, Fukai T, The mean-field theory of dynamically balanced neuronal networks, 2018 BibTeX
  2. 2. *Rok Pahic, Andrej Gams, Ales Ude, Jun Morimoto, Deep Encoder-Decoder Networks for Mapping Raw Images to Movement Primitives, 2018 5, reviewed# BibTeX
  3. 3. Shinsuke Suzuki, Food value computation in the human orbitofrontal cortex, 2018 , invited BibTeX
  4. 4. Hiroaki Shioya, Yusuke Iwasawa, Yutaka Matsuo, Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity, 2018 4 BibTeX
  5. 5. Joji Toyama, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo, Expert-based reward function training: the novel method to train sequence generators,, 2018 4 BibTeX
  6. 6. Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo, Neuron as an Agent, 2018 4 BibTeX
  7. 7. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , New York University, USA, 2018.3.18 BibTeX
  8. 8. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , Cold Spring Harbor Laboratory, USA, 2018.3.19 BibTeX
  9. 9. So Fujimoto, Yutaka Komura*, Neurobiology and statistics of reflective minds in primates, 2018 BibTeX
  10. 10. *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
  11. 11. Doya K, How does the brain wire up itself on the fly?, 2018 , Institute for Advanced Study, Princeton, USA, 2018.3.14, invited BibTeX
  12. 12. Doya K, Neural Circuit for Mental Simulation, 2018 , Princeton Neuroscience Institute, USA BibTeX
  13. 13. Doya K, Imaging the neural circuit for mental simulation, 2018 , Denver City, USA, 2018.3.5 BibTeX
  14. 14. 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
  15. 15. Kurikawa T, Handa T, Fukai T, Different neural landscape regulates individual differences in sensory-guided decision making, 2018 BibTeX
  16. 16. Fung C.C, Fukai T, Discrete-attractor-like motion in continuous-attractor neural field models, 2018 BibTeX
  17. 17. Fukai T, Information transfer during slow oscillations in cortical networks, 2018 , invited BibTeX
  18. 18. Kurikawa T, Fukai T, Dynamic modulation in communications between Hippocampus and Medial entorhinal cortex depending on cognitive state, 2018 BibTeX
  19. 19. Shinsuke Suzuki, Value computation in the human brain: its basis and contagious nature, 2018 , invited BibTeX
  20. 20. Fukai T, Reservoir computing for chunking and decision-making, 2018 , invited BibTeX
  21. 21. Fukai T, Sequence learning through reverse replay and preplay in hippocampal circuit models., 2018 , invited BibTeX
  22. 22. Fukai T, Dendritic canonical correlation analysis for memory and sensory information processing., 2018 , invited BibTeX
  23. 23. 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
  24. 24. Masamichi Sakagami, Decoding the value related signal represented in multiple areas of the prefrontal cortex using ECoG electrodes, 2018 1, invited BibTeX
  25. 25. Masamichi Sakagami, Multiple Neural Circuits In Value-based Decision Making, 2018 1, invited BibTeX
  26. 26. Doya K, What should we further learn from the brain?, 2018 , WellyHilly park, South Korea, 2018.1.29 BibTeX
  27. 27. T. Yanagisawa, Brain-machine interface to modulate cortical functions, 2018 BibTeX
  28. 28. Ryosuke Tanno and Keiji Yanai, AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality, 2018 2, reviewed BibTeX
  29. 29. Eiji Uchibe*, Efficient Sample Reuse in Policy Search by Multiple Importance Sampling, 2018 , reviewed# BibTeX
  30. 30. Stefan Elfwing*, Eiji Uchibe, and Kenji Doya, Online Meta-Learning by Parallel Algorithm Competition, 2018 , reviewed# BibTeX

Domestic Conference

  1. 1. 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
  2. 2. E. Uchibe*, and J. Wang, EM-based policy search for learning foraging and mating behaviors, 2018 , # BibTeX
  3. 3. 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
  4. 4. 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
  5. 5. 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
  6. 6. 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
  7. 7. 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
  8. 8. 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
  9. 9. 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
  10. 10. 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
  11. 11. 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
  12. 12. 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
  13. 13. Takufumi Yanagisawa, BMI induced plasticity modulates phantom limb pain, 2018 BibTeX
  14. 14. *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
  15. 15. 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
  16. 16. 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
  17. 17. 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
  18. 18. 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
  19. 19. 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
  20. 20. 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
  21. 21. 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
  22. 22. *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

Book

  1. No data available.

Prize

  1. 1. 安部川 直稔, Different spatial eye-hand coordination forms distinct motor memories in implicit visuomotor adaptation, 2018 BibTeX
  2. 2. 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

Press Release

  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

Other

  1. 1. *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
  2. 2. 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
  3. 3. Yu Takagi, Jun-ichiro Hirayama, Saori C Tanaka, State-Unspecific Modes of Whole-Brain Functional Connectivity Predict Intelligence and Life Outcomes, # BibTeX
  4. 4. 中原裕之, 裁判所職員研修, 理化学研究所, 2018 3 BibTeX
  5. 5. , ALIFE, 2018 BibTeX
  6. 6. 三村 喬生, R初心者セッション -Data import/Export, 第68回 Tokyo.R BibTeX
  7. 7. Jun Morimoto, Learning assistive strategies for BMI exoskeleton robots, 1, Invited# BibTeX
  8. 8. 三村 喬生, R初心者セッション -Data manipulation, 第67回 Tokyo.R BibTeX
  9. 9. 三村 喬生, 自然非言語への挑戦, 第4回 Language & Robotics研究会 BibTeX
  10. 10. , マリア・人工生命・膜・魚, 2018 BibTeX
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