Fusion of evoked electrical activity patterns in the semi-artificial living neuronal network

カテゴリ: 部門大会

論文No: SS1-6

グループ名: 【C】2023年電気学会電子・情報・システム部門大会

発行日: 2023/08/23

タイトル(英語): Fusion of evoked electrical activity patterns in the semi-artificial living neuronal network

著者名: 瀧澤 佳樹（関西学院大学）,工藤 卓（関西学院大学）

著者名(英語): Yoshiki Takizawa (Kwansei Gakuin University),Suguru Kudoh (Kwansei Gakuin University)

キーワード: 神経回路網|連合学習|誘発応答|高頻度刺激|neuronal network|associative learning|evoked response|high-frequency stimulation

要約(日本語): The hippocampus is a brain region essential for memory formation. We have tried to reproduce associative learning in semi-artificial ”small brain” model composed by a cultured living neuronal network. In this paper, as a method to quantify the fusion of evoked response patterns, we propose a method of expressing the fusion pattern by the linear sum of the feature vectors of the initial two patterns. This way, the feature vector of the activity pattern after fusion was possible to be expressed by the sum of the initial two activity patterns and the fluctuation difference. In the result, it is suggested evoked response patterns induced by current stimulation from two independent stimulation were often fused after high-frequency simultaneous stimulation via the two electrodes.