聴皮質の定常的な神経活動における音情報のデコーディング

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: 2012/10/01

タイトル(英語): Decoding of Auditory Information from Steady-state Neural Activity in Rat Auditory Cortex

著者名: 磯口　知世（東京大学大学院情報理工学系研究科），阿久津　完（東京大学大学院情報理工学系研究科），野田　貴大（東京大学大学院情報理工学系研究科），神崎　亮平（東京大学大学院情報理工学系研究科／東京大学先端科学技術研究センター），高橋　宏知（東京大学大学院情報理工学系研究科／東京大学先端科学技術研究センター／科学技術振興機構　さきがけ）

著者名(英語): Tomoyo Isoguchi (Graduate School of Information Science and Technology, The University of Tokyo), Kan Akutsu (Graduate School of Information Science and Technology, The University of Tokyo), Takahiro Noda (Graduate School of Information Science and Technology, The University of Tokyo), Ryohei Kanzaki (Graduate School of Information Science and Technology, The University of Tokyo/Research Center for Advanced Science and Technology, The University of Tokyo), Hirokazu Takahashi (Graduate School of Information Science and Technology, The University of Tokyo/Research Center for Advanced Science and Technology, The University of Tokyo/PRESTO, JST)

キーワード: 聴皮質，ラット，スパース推定，デコーディング，定常状態，微小電極アレイ　　auditory cortex，rat，sparse linear regression，decoding，steady state，microelectrode array

要約(英語): In the auditory cortex, auditory-evoked onset activities have been extensively investigated as a cortical representation of sound information and emotional information associated with the sound. Yet, less attention has been paid to date to steady-state activities following the onset activities. In this study, we used machine learning to investigate whether steady-state neural activities in the presence of continuous sounds represent the sound frequency and emotion associated with the sound. A microelectrode array with a grid of 96 sites recorded local field potentials (LFPs) in the 4th layer of the auditory cortex of anesthetized rats and Sparse Logistic Regression (SLR) decoded the sound frequency from steady-state neural activities of LFPs. Band-specific powers at every recording sites and phase locking values between every pair of recording sites served as input vectors of SLR. We also investigated how these decoding accuracies depended on either aversive or appetitive auditory classical conditioning. Consequently, we found that SLR were able to decode the sound frequency from steady-state neural activities as well as onset activities and that the decoding accuracy at some particular bands significantly either improved or worsened in conditioning-dependent manners. These results demonstrate that the steady-state neural activities contain rich information about not only test sounds but also emotions associated with the sounds.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.10 （2012） 特集：医療関連電子技術のニュートピック

本誌掲載ページ: 1608-1616 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/132/10/132_1608/_article/-char/ja/