Excitement and Synchronization of Electrically Coupled Small-world Neuronal Network with Synaptic Plasticity

摘要：

Degree of 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.

关键词： degree of excitement synchronization neuronal network small-world synaptic plasticity

作者: Fang Han Qishao Lu YingDu

作者单位: College of Information Science and Technology Donghua University Shanghai, P.R.China Department of Dynamics and Control Beihang University Beijing, P.R.China Institute for Cognitive NeurodynamicsSchool of Information Science and Engineering,East China Univer

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 465-468

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）