Rchr
J-GLOBAL ID：201901002085306950   Update date: Apr. 22, 2024

Tokuda Keita

Tokuda Keita
Affiliation and department：
Juntendo University The faculty of health data science, Juntendo University

About Juntendo University The faculty of health data science, Juntendo University


Job title： Associate professor
Homepage URL  (2)： https://sites.google.com/view/tokudakeita ,  https://sites.google.com/view/tokudakeita/keita-tokudas-page
Research field  (3)： Applied mathematics and statistics ,  Basic mathematics ,  Neuroscience - general
Research keywords  (14)： machine learning ,  alzheimer's disease ,  learning ,  biomarker ,  neural networks ,  Dynamical Systems ,  chaos ,  アルツハイマー病 ,  バイオマーカー ,  機械学習 ,  非線形力学 ,  カオス ,  小脳 ,  Hippocampus
Research theme for competitive and other funds  (8)：
  • 2023 - 2026 カオス的なニューラルネットにおける動的入力への同期によるパターン認識の研究
  • 2022 - 2025 気象制御容易性の定量化
  • 2021 - 2024 Information Processing Models and Data Analysis Platforms for Multicellular Neurodynamics
  • 2020 - 2024 食事由来脂質の吸収/排泄バランスによる生体防御システムの理解と疾患治療への応用
  • 2020 - 2022 拡散結合系のカオスのレザバーコンピューターへの応用と小脳顆粒細胞層の計算論の構築
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Papers (14)：
  • Mao Ouyang, Keita Tokuda, Shunji Kotsuki. Reducing manipulations in a control simulation experiment based on instability vectors with the Lorenz-63 model. Nonlinear Processes in Geophysics. 2023
  • Maximilian Raab, Johannes Zeininger, Yuri Suchorski, Keita Tokuda, Günther Rupprechter. Emergence of chaos in a compartmentalized catalytic reaction nanosystem. Nature communications. 2023. 14. 1. 736-736
  • Yoshiaki Kariya, Masashi Honma, Keita Tokuda, Akihiko Konagaya, Hiroshi Suzuki. Utility of constraints reflecting system stability on analyses for biological models. PLOS Computational Biology. 2022
  • Optimization of recurrent neural network structure by controlling symmetry of weight matrix. 2022. 122. 89. 184-188
  • Keita Tokuda, Naoya Fujiwara, Akihito Sudo, Yuichi Katori. Chaos may enhance expressivity in cerebellar granular layer. Neural Networks. 2021. 136. 72-86
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MISC (10)：
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Patents (1)：
  • 情報処理装置、情報処理方法、及びプログラム
Books (1)：
  • “人工知能”の導入による生産性、効率性の向上、新製品開発への活用
    2019
Lectures and oral presentations  (27)：
  • Learning non-stationary nonlinear dynamics by extracting slow parameter change by a reservoir
    (The 11th RIEC International Symposium on Brain Functions and Brain Computer 2023)
  • 気象制御の実現に向けた制御容易性・被害低減効果の定量化に関する初期検討
    (水文・水資源学会/日本水文科学会2022年度研究発表会 2022)
  • Transitive neurodynamics between periodic and chaotic attractors
    (Toyama Forum for Academic Summit on “Dynamic Brain” 2019)
  • μモデルのギャップジャンクション結合系におけるカオス的ダイナミクスを
    (2019)
  • 慢性疾患の長期進行過程を推定する新規アルゴリズム SReFT を利用したアルツハイマー病の病 態進行解析と臨床試験シミュレーション
    (第 4 回 次世代を担う若手のための レギュラトリーサイエンスフォーラム 2018)
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Education (4)：
  • 2008 - 2013 The University of Tokyo The Graduate School of Information Science and Technology Department of Mathematical Informatics
  • 2006 - 2008 The University of Tokyo Graduate School of Pharmaceutical Sciences Department of Pharmaceutical Biology
  • 2004 - 2006 The University of Tokyo Faculty of Pharmaceutical Sciences Department of Pharmacy
  • 2002 - 2004 The University of Tokyo College of Arts and Sciences
Work history (6)：
  • 2024/04 - 現在 Juntendo University The faculty of health data science, Juntendo University Associate professor
  • 2023/04 - 2024/04 Juntendo University The faculty of health data science, Juntendo University Lecturer
  • 2020/05 - 2023/03 University of Tsukuba Faculty of Engineering, Information and Systems Assistant Professor
  • 2019/04 - 2020/04 The University of Tokyo Pharmaceutical Services, Faculty of Medicine University Hospital
  • 2014/04 - 2019/04 The University of Tokyo Pharmaceutical Services, Faculty of Medicine University Hospital
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Awards (2)：
  • 2022/06 - 日本神経回路学会 2022年度日本神経回路学会論文賞
  • 2012/06 - 第 12 回 東京大学生命科学シンポジウム ポスター賞
Association Membership(s) (3)：
THE PHYSICAL SOCIETY OF JAPAN ,  THE JAPANESE SOCIETY FOR NEUROCHEMISTRY ,  Society for Neuroscience
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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