Parameter-dependent synchronization of coupled neurons in cold receptor model

被引：2

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

来源：

INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS | 2015年 / 70卷

基金：

中国国家自然科学基金;

关键词：

Synchronization; Neural spike train; ISI-distance; Correlation coefficient; Network; IMPULSE PATTERN; SLEEP; OSCILLATIONS; GENERATION; NOISE;

D O I：

10.1016/j.ijnonlinmec.2014.10.007

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

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.

引用

页码：95 / 104

页数：10

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