文献类型：会议论文

英文题名：Parameter-dependent synchronization of coupled neurons in cold receptor model

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

机构：[1]E China Univ Sci & Technol, Sch Sci, Inst Cognit Neurodynam, Shanghai 200237, Peoples R China;[2]Donghua Univ, Sch Informat Sci & Technol, Dept Automat, Shanghai 201620, Peoples R China;[3]Beihang Univ, Dept Dynam & Control, Beijing 100191, Peoples R China

会议论文集：International Conference on Nonlinear Dynamics in Engineering: Modeling, Analysis and Applications

会议日期：AUG 20-23, 2013

会议地点：Univ Aberdeen, Aberdeen, SCOTLAND

主办单位：Univ Aberdeen

语种：英文

外文关键词：Synchronization; Neural spike train; ISI-distance; Correlation coefficient; Network

摘要：In this paper, synchronization in two coupled neurons with spiking, bursting and chaos firings is investigated as the coupling strength gets increased. Synchronization state can be identified by means of the bifurcation diagram, the correlation coefficient and ISI-distance. It is illustrated that the coupled neurons can exhibit different types of synchronization state when the coupling strength increases. The different synchronization processes appear similar, but their detailed processes are different depending on the parameter values. The synchronization of neuronal network with two different network connectivity patterns is also studied. It is shown that chaotic and high period pattern are more difficult to get complete synchronization than the situation in single spike and low period pattern. It is also demonstrated that the synchronization status of multiple neurons is dependent on the network connectivity patterns. These results may be instructive to understand synchronization in neuronal systems. (C) 2014 Elsevier Ltd. All rights reserved.