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Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity

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タイトル: Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity
著者: Masuda, Naoki 著作を一覧する
Kori, Hiroshi 著作を一覧する
キーワード: spike-timing-dependent plasticity
feedforward networks
complex networks
発行日: 2007年 4月24日
出版者: Springer
誌名: Journal of Computational Neuroscience
巻: 22
号: 3
出版社 DOI: 10.1007/s10827-007-0022-1
抄録: Spike-timing-dependent plasticity (STDP) with asymmetric learning windows is commonly found in the brain and useful for a variety of spike-based computations such as input filtering and associative memory. A natural consequence of STDP is establishment of causality in the sense that a neuron learns to fire with a lag after specific presynaptic neurons have fired. The effect of STDP on synchrony is elusive because spike synchrony implies unitary spike events of different neurons rather than a causal delayed relationship between neurons. We explore how synchrony can be facilitated by STDP in oscillator networks with a pacemaker. We show that STDP with asymmetric learning windows leads to self-organization of feedforward networks starting from the pacemaker. As a result, STDP drastically facilitates frequency synchrony. Even though differences in spike times are lessened as a result of synaptic plasticity, the finite time lag remains so that perfect spike synchrony is not realized. In contrast to traditional mechanisms of large-scale synchrony based on mutual interaction of coupled neurons, the route to synchrony discovered here is enslavement of downstream neurons by upstream ones. Facilitation of such feedforward synchrony does not occur for STDP with symmetric learning windows.
Rights: The original publication is available at
資料タイプ: article (author version)
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: 郡 宏


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