集団シータ波に位相同期した複数スパイク時系列に関する神経細胞モデルを用いた数理的検討
集団シータ波に位相同期した複数スパイク時系列に関する神経細胞モデルを用いた数理的検討
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2020/09/01
タイトル(英語): Mathematical Analysis of Multiple Spike Time Series Synchronized in Phase with Collective Theta Wave Using Neural Cell Model
著者名: 野山 大樹(東京大学 先端科学技術センター),吉開 悠人(東京大学 先端科学技術センター),小谷 潔(東京大学 先端科学技術センター),神保 泰彦(東京大学)
著者名(英語): Hiroki Noyama (Kotani Labs., Research Center for Advanced Science and Technology, The University of Tokyo), Yuto Yoshikai (Kotani Labs., Research Center for Advanced Science and Technology, The University of Tokyo), Kiyoshi Kotani (Kotani Labs., Research Center for Advanced Science and Technology, The University of Tokyo), Yasuhiko Jimbo (Jimbo Labs., The University of Tokyo)
キーワード: modified thetaモデル,Fokker-Planck方程式,非線形力学 modified theta model,Fokker-Planck equation,nonlinear dynamics
要約(英語): Information processing in the brain is performed by the interactions of numerous number of neurons. However, much remains unknown about complex behaviors of a network composed of numerous number of neurons. Especially, in what case cross frequency coupling emerges and how it alters timings of individual firing are open questions. Therefore, in order to quantitatively evaluate the dynamics of the nervous group, we reproduced phenomena such as cross frequency coupling observed in the brain on a mathematical model and analyzed. The analyses of Fokker-Planck equation provides the region of gamma/theta oscillations as well as their cross frequency couplings. In addition, we demonstrated that the populational oscillation synchronizes sequences of spike trains, which is supposed to be a possible mechanism of memory coding in hippocampus by theta-gamma neural code.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.140 No.9 (2020)
本誌掲載ページ: 1050-1056 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/140/9/140_1050/_article/-char/ja/
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