神経工学の潮流

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: 2013/03/01

タイトル(英語): Trends in Neural Engineering

著者名: 高橋　宏知（東京大学先端科学技術研究センター），神保　泰彦（東京大学大学院新領域創成科学研究科）

著者名(英語): Hirokazu Takahashi (Research Center for Advanced Science and Technology, The University of Tokyo), Yasuhiko Jimbo (Graduate School of Frontier Sciences, the University of Tokyo)

キーワード: 脳，ニューロン，同期，微小電極アレイ，機械学習　　Brain，neuron，synchronization，microelectrode array，machine learning

要約(英語): The Moore's law predicting that the number of transistors on integrated circuits doubles every 18 months since 1970's has been underlying industrial innovation. In the field of neuroscience, a similar trend is observed for the number of simultaneously recorded neuronal cells, which has doubled every 7.4 years since the late 1950's. Neural engineering has emerged from the confluence of these two technological trends and has significantly promoted a number of progresses in our understanding of the brain and the developments of neural prosthesis. In the present paper, we introduce how innovative instrumentation engineering and information technologies have brought benefits in our daily physiological experiments and sometimes led to major discoveries in a discontinuous manner. Furthermore, increasing capacity to acquire and analyze massive data may change not only treatments of neural data, but also scientific approaches in neuroscience.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.3 （2013） 特集Ⅰ：電磁波の技術と科学および信号処理　特集Ⅱ：電子・情報・システム分野の最先端技術

本誌掲載ページ: 544-549 p

原稿種別: 解説／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/3/133_544/_article/-char/ja/