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J-GLOBAL ID：201801004133901934   Update date: Oct. 07, 2024

Matsui Teppei

Matsui Teppei
Affiliation and department：
Doshisha University Graduate School of Brain Science

About Doshisha University Graduate School of Brain Science


Job title： Professor
Research field  (1)： Neuroscience - general
Research theme for competitive and other funds  (21)：
  • 2024 - 2029 Extraction of Visual Information Processing and Learning Rules through Large-Scale Neural Data Analysis
  • 2024 - 2029 Multicellular Neurobiocomputing (Administrative Group)
  • 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
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Papers (33)：
  • Teppei Matsui, Takayuki Hashimoto, Tomonari Murakami, Masato Uemura, Kohei Kikuta, Toshiki Kato, Kenichi Ohki. Orthogonalization of spontaneous and stimulus-driven activity by hierarchical neocortical areal network in primates. bioRxiv. 2024
  • 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 working memory. Cerebral Cortex. 2024. 34. 7
  • Yuki Hosaka, Takemi Hieda, Kenji Hayashi, Koji Jimura, Teppei Matsui. Linear models replicate the energy landscape and dynamics of resting-state brain activity. 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. Frontiers in Neural Circuits. 2024. 18
  • 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
ｍore...
MISC (3)：
Lectures and oral presentations  (9)：
  • 生物の脳に特有な情報処理の理解に向けた 脳活動イメージングとデータ解析
    (生理研研究会「大規模脳活動計測」 2024)
  • 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)
ｍore...
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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