Rchr
J-GLOBAL ID：200901042572957325   Update date: Nov. 03, 2024

Kitajo Keiichi

キタジョウ ケイイチ | Kitajo Keiichi
Affiliation and department：
National Institute for Physiological Sciences Department of System Neuroscience, Division of Neural Dynamics

About National Institute for Physiological Sciences Department of System Neuroscience, Division of Neural Dynamics


Job title： Professor
Other affiliations (2)：
Homepage URL  (2)： https://www.nips.ac.jp/nd/index.html ,  https://www.nips.ac.jp/nd/en/
Research field  (6)： Soft computing ,  Basic brain sciences ,  Biological, health, and medical informatics ,  Perceptual information processing ,  Physical and health education ,  Cognitive sciences
Research keywords  (27)： MEG ,  data assimilation ,  metastability ,  heterarchy ,  神経ダイナミクス ,  脳情報処理 ,  BMI ,  脳情報の解読と制御 ,  計算論的神経科学 ,  同期現象 ,  複雑系 ,  力学系 ,  振動 ,  経頭蓋磁気刺激 ,  包括脳ネットワーク ,  ヘテロ複雑システム ,  ノイズ・ゆらぎ ,  脳波 ,  位相同期 ,  知覚 ,  fMRI ,  視覚 ,  TMS ,  サッケード ,  発達 ,  瞬目 ,  注意
Research theme for competitive and other funds  (23)：
  • 2024 - 2027 Development of the EEG data assimilation method for tracking intracortical excitation-inhibition balance and network dynamics
  • 2021 - 2025 Evaluation of brain network dynamism by EEG / MRI and its clinical application to cerebrovascular accident
  • 2021 - 2023 脳卒中者の機能再建を可能とするアンサンブル脳刺激法の創成
  • 2019 - 2023 新規非侵襲的脳刺激が拓くネオ・リハビリテーションとそのシステム脳科学的解明
  • 2019 - 2022 Comparison of the capacity to integrate information in motor and visual systems by TMS-EEG concurrent recordings
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Papers (94)：
  • Tasuku Kayama, Atsushi Tamura, Tuo Xiaoying, Ken-Ichiro Tsutsui, Keiichi Kitajo, Takuya Sasaki. Transformer-based classification of visceral pain-related local field potential patterns in the brain. Scientific Reports. 2024. 14. 1
  • Yujin Goto, Keiichi Kitajo. Selective consistency of recurrent neural networks induced by plasticity as a mechanism of unsupervised perceptual learning. PLOS Computational Biology. 2024. 20. 9. e1012378-e1012378
  • Hiroshi Yokoyama, Keiichi Kitajo. A data assimilation method to track excitation-inhibition balance change using scalp EEG. Communications Engineering. 2023. 2. 92
  • Hiromichi Suetani, Keiichi Kitajo. Exploring Individuality in Human EEG Using Reservoir Computing. In: Iliadis, L., Papaleonidas, A., Angelov, P., Jayne, C. (eds) Artificial Neural Networks and Machine Learning - ICANN 2023. ICANN 2023. Lecture Notes in Computer Science,. 2023. 14254. 551-555
  • Yue Wei, Yixuan Wang, Yuka O. Okazaki, Keiichi Kitajo, Richard H. Y. So. Motion sickness resistant people showed suppressed steady-state visually evoked potential (SSVEP) under vection-inducing stimulation. Cognitive Neurodynamics. 2023
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MISC (35)：
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Patents (16)：
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Professional career (1)：
  • Ph D (Tokyo University)
Work history (12)：
  • 2022/04 - 現在 RIKEN Center for Brain Science Visiting researcher
  • 2018/10 - 現在 The Graduate University for Advanced Studies School of Life Science Department of Physiological Sciences Professor
  • 2018/10 - 現在 National Institute for Physiological Sciences Professor
  • 2018/04 - 2022/03 RIKEN Center for Brain Science CBS-TOTOTA collaboration Center Unit leader
  • 2011/04 - 2018/03 RIKEN BSI, BSI-Toyota Collaboration Center, Rhythm-based brain computation unit Unit leader
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