文献类型：期刊文献

英文题名：Excitement and synchronization of electrically coupled small-world neuronal network with synaptic plasticity

作者：Han, Fang[1]; Du, Ying[2]; Lu, Qishao[3]

机构：[1] College of Information Science and Technology, Donghua University, Shanghai, China; [2] Institute for Cognitive Neurodynamics, School of Science, East China University of Science and Technology, Shanghai, China; [3] Department of Dynamics and Control, Beihang University, Beijing, China

年份：2011

卷号：1

起止页码：455

外文期刊名：Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011

收录：EI(收录号：20114014404211)

语种：英文

外文关键词：Neural networks - Neurons

摘要：Excitement and synchronization of electrically coupled small-world neuronal network with synaptic plasticity are studied in this paper. The variation properties of synaptic weights are examined first, and then the effects of the synaptic learning coefficient, the coupling strength and the adding probability on the properties of degree of excitement and synchronization of the neuronal network are studied respectively. It is shown that synaptic learning suppresses over-excitement and helps synchronization for the neuronal network. Plus, both introduction of shortcuts and increase of the coupling strength do not affect the degree of excitement and are helpful in improving synchronization for the neuronal network. ? 2011 IEEE.