Rchr
J-GLOBAL ID:200901051484490556   Update date: Mar. 14, 2024

Sakai Yutaka

Sakai Yutaka
Affiliation and department:
Job title: 教授
Homepage URL  (2): http://tamagawa.brainsci.net/sakai/http://spike.lab.tamagawa.ac.jp/index-e.html
Research field  (3): Neuroscience - general ,  Mathematical physics and basic theory ,  Intelligent informatics
Research keywords  (6): Theory of neural computation ,  Learning behavior ,  Conditioning ,  Reinforcement learning ,  Neural coding ,  Synaptic plasticity
Research theme for competitive and other funds  (17):
  • 2023 - 2028 時間に関連した認知機能の進化的基盤を探る
  • 2018 - 2023 Chronogenesis: how the mind generates time
  • 2018 - 2023 Ontogeny and phylogeny of the acquisition of time
  • 2016 - 2020 Development of computational models of mental disorders and evaluation of therapeutic effects by simulation
  • 2014 - 2019 Neural mechanisms of adaptive circuit shift in operant learning of behaviors
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Papers (44):
  • Yutaro Sato, Yutaka Sakai, Satoshi Hirata. State-transition-free reinforcement learning in chimpanzees (Pan troglodytes). Learning & behavior. 2023. 51. 4. 413-427
  • Alain Rios, Satoshi Nonomura, Shigeki Kato, Junichi Yoshida, Natsuki Matsushita, Atsushi Nambu, Masahiko Takada, Riichiro Hira, Kazuto Kobayashi, Yutaka Sakai, et al. Reward expectation enhances action-related activity of nigral dopaminergic and two striatal output pathways. Communications biology. 2023. 6. 1. 914-914
  • Shogo Soma, Shinya Ohara, Satoshi Nonomura, Naofumi Suematsu, Junichi Yoshida, Eva Pastalkova, Yutaka Sakai, Ken-Ichiro Tsutsui, Yoshikazu Isomura. Rat hippocampal CA1 region represents learning-related action and reward events with shorter latency than the lateral entorhinal cortex. Communications biology. 2023. 6. 1. 584-584
  • Keita Mitani, Masanori Kawabata, Yoshikazu Isomura, Yutaka Sakai. Automated and parallelized spike collision tests to identify spike signal projections. iScience. 2022. 25. 10. 105071-105071
  • Yuki Sakai, Yutaka Sakai, Yoshinari Abe, Jin Narumoto, Saori C Tanaka. Memory trace imbalance in reinforcement and punishment systems can reinforce implicit choices leading to obsessive-compulsive behavior. Cell reports. 2022. 40. 9. 111275-111275
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MISC (39):
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Patents (1):
Books (2):
  • Matching law
    2013
  • 応用数理ハンドブック
    朝倉書店 2013 ISBN:9784254111415
Lectures and oral presentations  (7):
  • 過去・現在・未来をつなぐ学習のメカニズム
    (「意志創発の進化・脳・心理基盤」 次世代脳2017年度 冬のシンポジウム 2017)
  • Defect of prospective and retrospective time scales in reinforcement learning behind Obsessive Compulsive Disorder
    (The 2nd International Symposium on the Science of Mental Time, Sep. 12-13, 2017, Nara, Japan 2017)
  • Computational model of Obsessive-Compulsive Disorder (OCD)
    (The 40th Annual Meeting of the Japan Neuroscience Society 2017)
  • A model-based reinforcement learning model using Rescorla-Wagner principle reproduces Pavlovian-to-Instrumental Transfer
    (Neuroscience 2016, The Annual Meeting of the Society for Neuroscience, San Diego, CA, USA, Nov 11-16, 2016 2016)
  • Computational model of Obsessive-Compulsive Disorder
    (Workshop on the Mechanism of Brain and Mind 2016 2016)
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Education (2):
  • 1995 - 2000 Kyoto University Graduate School of Science
  • 1991 - 1995 Kyoto University Faculty of Science
Professional career (1):
  • Ph.D (Kyoto University)
Work history (7):
  • 2013/04 - 現在 Tamagawa University Brain Science Institute Professor
  • 2007/04 - 2013/03 Tamagawa University Brain Science Institute Associate Professor
  • 2004/04 - 2007/03 College of Engineering, Tamagawa University Associate Professor
  • 2000/04 - 2004/03 Faculty of Engineering, Saitama University Research Associate
  • 1997/04 - 2000/03 Graduate School of Science, Kyoto University Ph.D course
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Awards (1):
  • 2000 - 日本神経回路学会 奨励賞
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