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德田 慶太

ALUMNI 2025年3月現在、筑波大学が主たる所属機関ではありません

Tokuda, Keita

順天堂大学 , 健康データサイエンス学部 , 准教授
Juntendo University , The faculty of health data science, Juntendo University , Associate professor

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  1. 1. Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing Keita Tokuda; Yuichi Katori
      Frontiers in Artificial Intelligence (2024) Semantic Scholar
  2. 2. Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer Tianxiang Lyu; Wataru Uchida; Zhe Sun; Christina Andica (+7 著者) Shigeki Aoki
      (2024)
  3. 3. Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time Series Using Reservoir Computing Keita Tokuda; Yuichi Katori
      (2024)
  4. 4. Reducing manipulations in a control simulation experiment based on instability vectors with the Lorenz-63 model Mao Ouyang; Keita Tokuda; Shunji Kotsuki
      Nonlinear Processes in Geophysics (2023) Semantic Scholar
  5. 5. Emergence of chaos in a compartmentalized catalytic reaction nanosystem. Maximilian Raab; Johannes Zeininger; Yuri Suchorski; Keita TokudaGünther Rupprechter
      Nature communications 14: 736 (2023) Semantic Scholar
  6. 6. Utility of constraints reflecting system stability on analyses for biological models Yoshiaki Kariya; Masashi Honma; Keita Tokuda; Akihiko KonagayaHiroshi Suzuki
      PLOS Computational Biology (2022) Semantic Scholar
  7. 7. 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 藤本 ありさ; 山本 英明; 守谷 哲; 徳田 慶太 (+1 著者) 佐藤 茂雄
      信学技報 122: 184 (2022)
  8. 8. Chaos may enhance expressivity in cerebellar granular layer Keita Tokuda; Naoya Fujiwara; Akihito Sudo; Yuichi Katori
      Neural Networks 136: 72 (2021) Semantic Scholar
  9. 9. Evaluation of Mental Calculation Educational System with Invisible Abacus Keita Tokuda; Yasunobu Hashimoto; Chika Yamauchi; Keiko Iwasa (+2 著者) Akihito Sudo
      Proceedings of the 2020 8th International Conference on Information and Education Technology (2020) Semantic Scholar
  10. 10. Prediction of student performance in abacus-based calculation using matrix factorization Keita Tokuda; David Kaschub; Takuma Ota; Yasunobu Hashimoto (+1 著者) Akihito Sudo
      workshop at the 28th ACM Conference on User Modeling, Adaptation and Personalization, ACM UMAP 2020 (2020)
  11. 11. A Novel Method to Estimate Long-Term Chronological Changes From Fragmented Observations in Disease Progression. Ishida T; Tokuda K; Hisaka A; Honma M (+5 著者) Alzheimer's Disease Neuroimaging Initiative
      Clinical pharmacology and therapeutics 105: 436 (2019) Semantic Scholar
  12. 12. Chaotic dynamics as a mechanism of rapid transition of hippocampal local field activity between theta and non-theta states Keita Tokuda; Yuichi Katori; Kazuyuki Aihara
      Chaos 29: 113115 (2019) Semantic Scholar
  13. 13. A Computational Concept Invention Model Represented by Time‐varying Semantic Network and Its Implementation 須藤 明人; 藤原 直哉; 徳田 慶太; 本田 秀仁植田 一博
      Cognitive Studies: Bulletin of the Japanese Cognitive Science Society 24: 33 (2017)
  14. 14. Hippocampal State-Dependent Behavioral Reflex to an Identical Sensory Input in Rats Keita Tokuda; Michimasa Nishikawa; Shigenori Kawahara
      PLOS ONE 9: e112927 (2014) Semantic Scholar
  15. 15. Modeling state transition of hippocampal local field potential between theta rhythm and large irregular amplitude activity by bifurcation between a limit cycle and chaotic dynamics K. Tokuda; Y. Katori; K. Aihara
      AIP Conference Proceedings 1510: 134 (2013) Semantic Scholar
  16. 16. 大規模カオスニューラルネットワークの並列シミュレーション 奥牧人; 岩山幸治; 徳田慶太; 鈴木秀幸合原一幸
      電子情報通信学会技術研究報告 109: 55 (2009)
  17. 17. Modulation of Memory Retrieval by Spike Train Input with Temporal Pattern Keita Tokuda; Kazuyuki Aihara
      Proceedings of the 2009 International Symposium on Nonlinear Theory and its Applications 588 (2009)
  1. 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 徳田 慶太
    2019年3月

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