シミュレーションを用いた神経回路網可塑的変化のテタヌス刺激位置依存性の検討

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: 2013/08/01

タイトル(英語): Using Simulations to Evaluate Input-site and Tetanized-site Specificity of Tetanic Effect on Neuronal Networks

著者名: 矢田　祐一郎（東京大学大学院情報理工学系研究科），芳賀　達也（東京大学大学院情報理工学系研究科／日本学術振興会），宮廻　裕樹（東京大学大学院情報理工学系研究科），高山　祐三（産業技術総合研究所 幹細胞工学研究センター），深山　理（東京大学大学院情報理工学系研究科），星野　隆行（東京大学大学院情報理工学系研究科），満渕　邦彦（東京大学大学院情報理工学系研究科）

著者名(英語): Yuichiro Yada (Graduate School of Information Science and Technology, The University of Tokyo), Tatsuya Haga (Graduate School of Information Science and Technology, The University of Tokyo/Japan Society for the Promotion of Science), Hiroki Miyazako (Graduate School of Information Science and Technology, The University of Tokyo), Yuzo Takayama (Research Center for Stem Cell Engineering, National Institute of Advanced Industrial Science and Technology (AIST)), Osamu Fukayama (Graduate School of Information Science and Technology, The University of Tokyo), Takayuki Hoshino (Graduate School of Information Science and Technology, The University of Tokyo), Kunihiko Mabuchi (Graduate School of Information Science and Technology, The University of Tokyo)

キーワード: シナプス可塑性，テタヌス刺激，数値シミュレーション，ネットワーク制御　　Synaptic Plasticity，Tetanic Stimulus，Numerical Simulation，Network Control

要約(英語): Plasticity of neuronal networks is widely investigated as the basis of learning and stimulus-induced plasticity is one of the remarkable topics. For inducing plasticity and leading a network to a desired state, effective stimuli have to be applied to the network. However, the effect of stimuli on living neuronal networks is difficult to evaluate because of the unsteadiness of the network property. In this paper, we produce a simulated neuronal network and compare the effects of tetanic stimulus at various sites of networks in silico. Using simulation, the tetanic effects can be evaluated irrespective of network transition. We confirmed that the direction of the network plasticity is determined by the tetanized site in the network, and this can be observed only when the proper test-stimulus site is selected. We conclude that this simulation-based approach effectively evaluates the stimulus effect on neuronal networks.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.8 （2013） 特集：パワー半導体光源とその応用技術

本誌掲載ページ: 1485-1492 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/133/8/133_1485/_article/-char/ja/