文献类型：期刊文献

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] Institute for Cognitive Neurodynamics, School of Science, East China University of Science and Technology, Shanghai, 200237, China; [2] Department of Automation, School of Information Science and Technology, Donghua University, Shanghai, 201620, China; [3] Department of Dynamics and Control, Beihang University, Beijing, 100191, China

年份：2015

卷号：70

起止页码：95

外文期刊名：International Journal of Non-Linear Mechanics

收录：EI(收录号：20150700508217)

语种：英文

外文关键词：Neural networks - Neurons

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. ? 2014 Elsevier Ltd All rights reserved.