神経ネットワークの信号伝搬特性に関する数理的評価

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: 2019/02/01

タイトル(英語): Mathematical Analysis about Signal Propagation Characteristics of Neuronal Networks

著者名: 小林　由弥（東京大学工学系研究科），赤尾　旭彦（東京大学工学系研究科），白坂　将（東京大学先端科学技術研究センター），小谷　潔（東京大学工学系研究科／東京大学先端科学技術研究センター／JSTさきがけ），神保　泰彦（東京大学工学系研究科）

著者名(英語): Yuya Kobayashi (Graduate School of Engineering, The University of Tokyo), Akihiko Akao (Graduate School of Engineering, The University of Tokyo), Sho Shirasaka (RCAST, The University of Tokyo), Kiyoshi Kotani (Graduate School of Engineering, The University of Tokyo/RCAST, The University of Tokyo/JST PRESTO), Yasuhiko Jimbo (Graduate School of Engineering, The University of Tokyo)

キーワード: 神経集団モデル，フォッカー・プランク方程式，発火率，ブランチングパラメータ　　neuronal population model，Fokker-Planck equation，firing rate，branching parmeter

要約(英語): It is important to understand the relationship between spatiotemporal patterns of neuronal populations and information processing of the brain for medical and engineering purposes. Though, there are some methods to record neuronal population, only the information about firing rate can be obtained from those methods basically. Therefore, some methods are suggested to estimate the internal state of the neuronal population from the information about firing. In this research, we investigated the relationship between firing rates and responses to external electrical stimuli by using neuronal population models. We developed a method to manipulate neuronal parameters to make neuronal populations exhibit different dynamical properties while keeping firing rates intact. As a result, we found that there are some cases even though they share the same firing rate, the internal states are different. This result suggests that there is some information that cannot be obtained by using only the information about firing rates.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.2 （2019） 特集：「みえないものをみる」光技術

本誌掲載ページ: 154-160 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/139/2/139_154/_article/-char/ja/