1次視覚野の過渡ダイナミクスの推定

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: 2020/07/01

タイトル(英語): Estimation of Transient Dynamics of Primary Visual Cortex

著者名: 窪田　智之（東京大学大学院工学系研究科），中嶋　浩平（東京大学大学院情報理工学系研究科／科学技術振興機構　さきがけ），高橋　宏知（東京大学大学院工学系研究科／東京大学大学院情報理工学系研究科）

著者名(英語): Tomoyuki Kubota (Graduate School of Engineering, The University of Tokyo), Kohei Nakajima (Graduate School of Information Science and Technology,The University of Tokyo/PRESTO, JST), Hirokazu Takahashi (Graduate School of Engineering, The University of Tokyo/Graduate School of Information Science and Technology,The University of Tokyo)

キーワード: 過渡ダイナミクス，カルシウムイメージング，1次視覚野，リザバーコンピューティング，情報処理容量，最大Lyapunov指数　　transient dynamics，calcium imaging，primary visual cortex，reservoir computing，information processing capacity，maximal Lyapunov exponent

要約(英語): Neuronal systems are dynamical. In the dynamical system, the externally-driven responses, called transient dynamics, are stimulus-specific but reproducible. Under the assumption that the neuronal system is deterministic, we here hypothesized that such reproducible transient activities could produce computational capability in a chaotic dynamical system. To test this hypothesis, we estimated the maximal Lyapunov exponent of neuronal activities in the primary visual cortex (V1) of mice, and quantified their information processing capacity in the transient dynamics. Consequently, V1 was characterized as a chaotic system, where almost identical input time-series led to different trajectories. We also demonstrated that, when mice were visually stimulated with drifting gratings, the trajectories contained the input time-series information for at least 5.2 s after stimulation. These results suggest that computational capability in V1 emerges from reproducible transient activities in the chaotic system. Yet, the estimate information processing capacities in V1 were much lower than those in theoretical studies. Further verification is still required to elucidate the discrepancy between theoretical and experimental results.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.140 No.7 （2020） 特集：2019年電子・情報・システム部門大会

本誌掲載ページ: 723-729 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/140/7/140_723/_article/-char/ja/