Tokuda Keita 徳田慶太

Researcher Number	50762176
Other IDs	https://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	2025: 順天堂大学, 健康データサイエンス学部, 准教授 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 22040:Hydroengineering-related / Medium-sized Section 22:Civil engineering and related fields / 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 レザバー計算 / リザバー計算 / スパイキングニューラルネットワーク / 胆汁排泄 / 消化管吸収 / 脂質トランスポーター / カオス性 / レアイベント・シミュレーション / 制御シミュレーション実験 / 極端気象 / アニーリング / 深層学習 / 量子計算 / AI天気予報 / データ同化 / 大規模神経活動データ / 感覚・運動学習モデル / 動的予測符号化 / 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 / ロボット制御 / 強化学習 / 予測符号化 / 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

Transforming Weather Prediction with Deep Learning and Quantum Computing
- Principal Investigator
  
  小槻峻司
- Project Period (FY)
  2025 – 2029
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 22:Civil engineering and related fields
- Research Institution
  Chiba University
Development of a control algorithm for extreme weather events inspired by rare-event simulation techniques
- Principal Investigator
  
  三ツ井孝仁
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 22040:Hydroengineering-related
- Research Institution
  Juntendo University
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. 小槻峻司 (90729229)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
8. 岡崎淳史 (10790842)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
9. Sudo Akihito (80588369)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 近藤圭一 (00735558)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 計良宥志 (00887705)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 西澤誠也 (40447892)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 三ツ井孝仁 (40506523)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. OKU Makito

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
15. 合原一幸

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Tokuda Keita 徳田 慶太

Research Projects

Research Products

Co-Researchers

Transforming Weather Prediction with Deep Learning and Quantum Computing

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of a control algorithm for extreme weather events inspired by rare-event simulation techniques

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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

Project Period (FY)

Research Category

Review Section

Research Institution

Integrated information processing model of sensory-motor learning based on multicellular neural dynamics

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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

Project Period (FY)

Research Category

Review Section

Research Institution

Information Processing Models and Data Analysis Platforms for Multicellular Neurodynamics

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Application of Chaos in Diffusive Coupling Systems to Reservoir Computing and Construction of Computational Theory for the Cerebellar Granular LayerPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Understanding the biological defense system by absorption/excretion balance of dietary lipids and its application to disease treatment

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Enhancement of New Product Idea Generation Technology through Concept Synthesis Approach using Machine Learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of novel biomarker from electroencephalography data for by machine learning approachPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

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

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Optimization of recurrent neural network structure by controlling symmetry of weight matrix2022

Author(s)

Journal Title

Data Source

[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)

Journal Title

Data Source

[Journal Article] Chaos may enhance expressivity in cerebellar granular layer2021

Author(s)

Journal Title

Tokuda Keita 徳田慶太