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Tokuda Keita  徳田 慶太

Researcher Number 50762176
Other IDs
  • ORCIDhttps://orcid.org/0000-0002-0275-5541
Affiliation (Current) 2025: 順天堂大学, 健康データサイエンス学部, 准教授
Affiliation (based on the past Project Information) *help 2023 – 2024: 順天堂大学, 健康データサイエンス学部, 講師
2023: 順天堂大学, 健康データサイエンス学部, 准教授
2022: 東京大学, 医学部附属病院, 特任研究員
2020 – 2022: 筑波大学, システム情報系, 助教
2017 – 2020: 東京大学, 医学部附属病院, 特任研究員
2019: 東京大学, 医学部附属病院, 助教
Review Section/Research Field
Principal Investigator
Basic Section 61040:Soft computing-related / Psychiatric science
Except Principal Investigator
Transformative Research Areas, Section (IV) / Basic Section 59040:Nutrition science and health science-related / Basic Section 62020:Web informatics and service informatics-related
Keywords
Principal Investigator
ニューラルネットワーク / レザバー計算 / カオス / 同期現象 / レザバーコンピューティング / ギャップジャンクション / 小脳 / 精神病理学 / 非線形時系列解析 / 精神疾患 / バイオマーカー / 脳波 … More
Except Principal Investigator
… More リザバー計算 / 胆汁排泄 / 消化管吸収 / 脂質トランスポーター / 動的予測符号化 / 大規模神経活動データ / 感覚・運動学習モデル / マルチセルラバイオ計算 / 動脈硬化症 / マルチセルラバイオコンピューティング / 脳型人工知能 / 計算論的神経科学 / バイオ計算 / 運動制御 / 感覚情報処理 / ニューラルネットワーク / レザバー計算 / ロボット制御 / 強化学習 / 予測符号化 / スパイキングニューラルネットワーク / トランスレーショナルリサーチ / 非アルコール性脂肪性肝疾患 / Novelty Detection / 機械学習 / 創造性の自動化 / 情報処理 Less
  • Research Projects

    (8 results)
  • Research Products

    (11 results)
  • Co-Researchers

    (9 People)
  •  食事由来脂質の吸収/排泄バランスの定量的理解と生活習慣病克服への応用

    • Principal Investigator
      山梨 義英
    • Project Period (FY)
      2024 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 59040:Nutrition science and health science-related
    • Research Institution
      The University of Tokyo
  •  Integrated information processing model of sensory-motor learning based on multicellular neural dynamics

    • Principal Investigator
      香取 勇一
    • Project Period (FY)
      2024 – 2028
    • Research Category
      Grant-in-Aid for Transformative Research Areas (A)
    • Review Section
      Transformative Research Areas, Section (IV)
    • Research Institution
      Future University-Hakodate
  •  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Principal Investigator

    • Principal Investigator
      徳田 慶太
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 61040:Soft computing-related
    • Research Institution
      Juntendo University
  •  Information Processing Models and Data Analysis Platforms for Multicellular Neurodynamics

    • Principal Investigator
      Katori Yuichi
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Transformative Research Areas (B)
    • Review Section
      Transformative Research Areas, Section (IV)
    • Research Institution
      Future University-Hakodate
  •  Application of Chaos in Diffusive Coupling Systems to Reservoir Computing and Construction of Computational Theory for the Cerebellar Granular LayerPrincipal Investigator

    • Principal Investigator
      Tokuda Keita
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61040:Soft computing-related
    • Research Institution
      Juntendo University
      University of Tsukuba
  •  Understanding the biological defense system by absorption/excretion balance of dietary lipids and its application to disease treatment

    • Principal Investigator
      Yamanashi Yoshihide
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 59040:Nutrition science and health science-related
    • Research Institution
      The University of Tokyo
  •  Enhancement of New Product Idea Generation Technology through Concept Synthesis Approach using Machine Learning

    • Principal Investigator
      Sudo Akihito
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 62020:Web informatics and service informatics-related
    • Research Institution
      Shizuoka University
  •  Development of novel biomarker from electroencephalography data for by machine learning approachPrincipal Investigator

    • Principal Investigator
      Tokuda Keita
    • Project Period (FY)
      2017 – 2019
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Psychiatric science
    • Research Institution
      The University of Tokyo

All 2024 2023 2022 2021 2019 2017

All Journal Article Presentation

  • [Journal Article] Emergence of chaos in a compartmentalized catalytic reaction nanosystem2023

    • Author(s)
      Raab Maximilian、Zeininger Johannes、Suchorski Yuri、Tokuda Keita、Rupprechter G?nther
    • Journal Title

      Nature Communications

      Volume: 14 Issue: 1 Pages: 1-10

    • DOI

      10.1038/s41467-023-36434-y

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19882
  • [Journal Article] Optimization of recurrent neural network structure by controlling symmetry of weight matrix2022

    • Author(s)
      藤本ありさ、山本英明、守谷哲、徳田慶太、 香取勇一、佐藤 茂雄
    • Journal Title

      研究報告バイオ情報学

      Volume: 2022-BIO-70 Pages: 1-5

    • Data Source
      KAKENHI-PROJECT-20K19882
  • [Journal Article] 結合行列の対称性制御によるリカレントニューラルネットワークの構造最適化2022

    • Author(s)
      藤本 ありさ,山本 英明,守谷 哲,徳田 慶太,香取 勇一,佐藤 茂雄
    • Journal Title

      電子情報通信学会技術研究報告(IEICE Technical Report)

      Volume: vol. 122, no. 89, NC2022-26 Pages: 184-188

    • Data Source
      KAKENHI-PLANNED-21H05163
  • [Journal Article] Chaos may enhance expressivity in cerebellar granular layer2021

    • Author(s)
      Tokuda Keita、Fujiwara Naoya、Sudo Akihito、Katori Yuichi
    • Journal Title

      Neural Networks

      Volume: 136 Pages: 72-86

    • DOI

      10.1016/j.neunet.2020.12.020

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K19882, KAKENHI-PROJECT-20H04258
  • [Journal Article] Chaotic dynamics as a mechanism of rapid transition of hippocampal local field activity between theta and non-theta states2019

    • Author(s)
      Tokuda Keita、Katori Yuichi、Aihara Kazuyuki
    • Journal Title

      Chaos: An Interdisciplinary Journal of Nonlinear Science

      Volume: 29 Issue: 11 Pages: 113115-113115

    • DOI

      10.1063/1.5110327

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-15H05707, KAKENHI-PROJECT-17K16365
  • [Presentation] Pattern Recognition through Synchronization to Oscillatory Inputs in Chaotic Neural Networks2024

    • Author(s)
      Keita Tokuda and Naoya Fujiwara
    • Organizer
      The 12th RIEC International Symposium on Brain Functions and Brain Computer
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K11259
  • [Presentation] Pattern Recognition through Synchronization to Oscillatory Inputs in Chaotic Neural Networks2024

    • Author(s)
      Keita Tokuda and Naoya Fujiwara
    • Organizer
      The 12th RIEC International Symposium on Brain Functions and Brain Computer
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19882
  • [Presentation] Learning non-stationary nonlinear dynamics by extracting slow parameter change by a reservoir2023

    • Author(s)
      Keita Tokuda and Yuichi Katori
    • Organizer
      The 11th RIEC International Symposium on Brain Functions and Brain Computer(BFBC2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-21H05163
  • [Presentation] 結合行列の対称性制御によるリカレントニューラルネットワークの構造最適化2022

    • Author(s)
      藤本 ありさ,山本 英明,守谷 哲,徳田 慶太,香取 勇一,佐藤 茂雄
    • Organizer
      ニューロコンピューティング(NC)研究会
    • Data Source
      KAKENHI-PLANNED-21H05163
  • [Presentation] Transitive Neurodynamics between Periodic and Chaotic Attractors2019

    • Author(s)
      Keita Tokuda
    • Organizer
      Toyama Forum for Academic Summit on "Dynamic Brain"
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K16365
  • [Presentation] Decoding subsequent behavioral response to tone stimulus from rat hippocampal local field potential recordings using deep learning2017

    • Author(s)
      Keita Tokuda
    • Organizer
      Society for Neuroscience 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K16365
  • 1.  藤原 直哉 (00637449)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 1 results
  • 2.  Yamanashi Yoshihide (20582018)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 3.  Katori Yuichi (20557607)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 3 results
  • 4.  豊田 優 (80650340)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 5.  加藤 秀行 (00733510)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 6.  保坂 亮介 (80569210)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 7.  Sudo Akihito (80588369)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  OKU Makito
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 9.  合原 一幸
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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