研究業績一覧

  • Keita Tokuda, Yuichi Katori.
    Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing.
    Frontiers in Artificial Intelligence, 2024年10月22日.
    DOI: 10.3389/frai.2024.1451926
  • Tianxiang Lyu, Wataru Uchida, Zhe Sun, Christina Andica, Keita Tokuda, Rui Zou, Jie Mao, Keigo Shimoji, Koji Kamagata, Mitsuhisa Sato, Ryutaro Himeno, Shigeki Aoki.
    Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer.
    arXiv, 2024年7月16日.
    arXiv:2407.11742v1
  • 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年6月22日.
    DOI: 10.5194/npg-30-183-2023
  • Maximilian Raab, Johannes Zeininger, Yuri Suchorski, Keita Tokuda, Günther Rupprechter.
    Emergence of chaos in a compartmentalized catalytic reaction nanosystem.
    Nature Communications, 2023年2月10日.
    DOI: 10.1038/s41467-023-36434-y
  • 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年9月9日.
    DOI: 10.1371/journal.pcbi.1010441
  • Arisa Fujimoto, Hideaki Yamamoto, Satoshi Moriya, Keita Tokuda, Yuichi Katori, Shigeo Sato.
    Optimization of recurrent neural network structure by controlling symmetry of weight matrix.
    信学技報, 2022年6月, Vol.122(89), pp.184–188.
  • Keita Tokuda, Naoya Fujiwara, Akihito Sudo, Yuichi Katori.
    Chaos may enhance expressivity in cerebellar granular layer.
    Neural Networks, 2020年12月20日.
    DOI: 10.1016/j.neunet.2020.12.020
  • Keita Tokuda, Yasunobu Hashimoto, Chika Yamauchi, Keiko Iwasa, Kazuki Yoshida, Naoya Fujiwara, Akihito Sudo.
    Evaluation of Mental Calculation Educational System with Invisible Abacus.
    ACM ICIET 2020, 2020年3月28日.
    DOI: 10.1145/3395245.3396417
  • Keita Tokuda, David Kaschub, Takuma Ota, Yasunobu Hashimoto, Naoya Fujiwara, Akihito Sudo.
    Prediction of student performance in abacus-based calculation using matrix factorization.
    Workshop at ACM UMAP 2020.
  • Takaaki Ishida, Keita Tokuda, Akira Hisaka, Masashi Honma, Shinichi Kijima, Hiroyuki Takatoku, Takeshi Iwatsubo, Takashi Moritoyo, Hiroshi Suzuki, Alzheimer's Disease Neuroimaging Initiative.
    A Novel Method to Estimate Long-Term Chronological Changes From Fragmented Observations in Disease Progression.
    Clinical Pharmacology & Therapeutics, 2019年2月, Vol.105(2), pp.436–447.
    DOI: 10.1002/cpt.1166
  • Keita Tokuda, Yuichi Katori, Kazuyuki Aihara.
    Chaotic dynamics as a mechanism of rapid transition of hippocampal local field activity between theta and non-theta states.
    Chaos, 2019年10月21日.
    DOI: 10.1063/1.5110327
  • Akihito Sudo, Naoya Fujiwara, Keita Tokuda, Hidehito Honda, Kazuhiro Ueda.
    A Computational Concept Invention Model Represented by Time‐varying Semantic Network and Its Implementation.
    Cognitive Studies, 2017年, Vol.24(1), pp.33–51.
    DOI: 10.11225/jcss.24.33
  • Keita Tokuda, Michimasa Nishikawa, Shigenori Kawahara.
    Hippocampal State-Dependent Behavioral Reflex to an Identical Sensory Input in Rats.
    PLOS ONE, 2014年11月14日, Vol.9(11): e112927.
    DOI: 10.1371/journal.pone.0112927
  • Keita Tokuda, Yuichi Katori, Kazuyuki Aihara.
    Modeling state transition of hippocampal local field potential... by bifurcation between a limit cycle and chaotic dynamics.
    AIP Conference Proceedings, 2013年, Vol.1510, pp.134–137.
    DOI: 10.1063/1.4776514
  • Makito Oku, Koji Iwayama, Keita Tokuda, Hideyuki Suzuki, Kazuyuki Aihara.
    Parallel Simulation of a Large‐Scale Chaotic Neural Network.
    電子情報通信学会技術研究報告, 2009年11月4日, Vol.109(269), pp.55–59.
  • Keita Tokuda, Kazuyuki Aihara.
    Modulation of Memory Retrieval by Spike Train Input with Temporal Pattern.
    NOLTA 2009年10月, pp.588–591.