Rchr
J-GLOBAL ID:201801004133901934   Update date: Mar. 17, 2024

Matsui Teppei

Matsui Teppei
Affiliation and department:
Job title: Professor
Research field  (1): Neuroscience - general
Research theme for competitive and other funds  (19):
  • 2021 - 2024 Multicellular Neurobiocomputing (Administrative Group)
  • 2021 - 2024 Research of spontaneous local learning rule on multi-cellular networks
  • 2019 - 2024 Elucidation of cognitive and learning mechanism of cerebral cortex by multiscale optogenetics
  • 2019 - 2023 生物模倣によるロバストで効率的な深層学習の開発
  • 2020 - 2022 Development of multi-level brainfodynamics database and its application to disease modeling
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Papers (31):
  • Ai Takehana, Daiki Tanaka, Mariko Arai, Yoshiki Hattori, Takaaki Yoshimoto, Teppei Matsui, Norihiro Sadato, Junichi Chikazoe, Koji Jimura. Healthy dietary choices involve prefrontal mechanisms associated with long-term reward maximization but not cognitive control. 2024
  • Otoya Kitaoka, Kohei Oyabu, Kaori Kubota, Takuya Watanabe, Satoru Kondo, Teppei Matsui, Shutaro Katsurabayashi, Katsunori Iwasaki. Location analysis of presynaptically active and silent synapses in single-cultured hippocampal neurons. 2023
  • Trung Quang Pham, Teppei Matsui, Junichi Chikazoe. Evaluation of the Hierarchical Correspondence between the Human Brain and Artificial Neural Networks: A Review. Biology. 2023. 12. 10. 1330-1330
  • Ruixiang Li, Kenichi Ohki, Teppei Matsui. Ketamine-induced 1-Hz oscillation of spontaneous neural activity is not directly visible in the hemodynamics. Biochemical and Biophysical Research Communications. 2023
  • 松井 鉄平, 地村 弘二, 李 鋭祥. 公開データベースを利用したヒト安静時脳活動研究. 統計数理. 2023. 71. 1. 81-95
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MISC (3):
Lectures and oral presentations  (8):
  • Brain-wide mapping of stimulus induced variability quenching reveals modularity of cortical network
    (The 12th RIEC International Symposium on Brain Functions and Brain Computer 2024)
  • Brain-wide mapping of stimulus induced variability quenching reveals modularity of cortical network
    (International Symposium on Nonlinear Theory and Its Applications Symposium 2023)
  • 自発的脳活動の研究の個人的な履歴と最近の話題
    (日本神経科学大会サテライトシンポジウム 2023)
  • 大脳ネットワークによる情報処理のマルチスケールイメージング
    (シナプス研究会 2022)
  • 大脳ネットワークの自発的活動とその時空間構造
    (応用物理学会シンポジウム 2022)
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Education (4):
  • 2009 - 2012 The University of Tokyo Graduate School of Science Department of Physics
  • 2006 - 2008 テキサス大学オースティン校 大学院神経科学専攻
  • 2004 - 2006 The University of Tokyo Graduate School of Science Department of Physics
  • 1999 - 2004 The University of Tokyo Faculty of Science Department of Physics
Professional career (1):
  • 理学 (東京大学)
Work history (6):
  • 2023/04 - 現在 Doshisha University Graduate School of Brain Science Professor
  • 2021/04 - 2023/03 Okayama University Graduate School of Natural Sciences Associate Professor
  • 2019/07 - 2021/03 University of Tokyo School of Medicine
  • 2016/04 - 2019/07 The University of Tokyo Graduate School of Medicine
  • 2015/04 - 2016/04 Kyushu University
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