文献类型：期刊文献

英文题名：Oscillations and synchrony in a cortical neural network

作者：Qu, Jingyi[1];Wang, Rubin[2];Yan, Chuankui[2];Du, Ying[2]

机构：[1]Civil Aviat Univ, Coll Elect Informat Engn, Tianjin Key Lab Adv Signal Proc, Tianjin 300300, Peoples R China;[2]E China Univ Sci & Technol, Sch Sci, Inst Cognit Neurodynam, Shanghai 200237, Peoples R China

年份：2014

卷号：8

期号：2

起止页码：157

外文期刊名：COGNITIVE NEURODYNAMICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000332734200007)】；

基金：The work is supported by Science and Technology Support Plan Topics (No. 2011BAH24B12), Key Program of National Natural Science Foundation of China (No. 11232005), Fundamental Research Funds for the Central Universities (No. ZXH2012C004) and Start-up Funds of Civil Aviation University (No. 2012QD09X).

语种：英文

外文关键词：Cortical neuronal network; Randomly-coupled network; Small-world network; Oscillation and synchronization

摘要：In this paper, the oscillations and synchronization status of two different network connectivity patterns based on Izhikevich model are studied. One of the connectivity patterns is a randomly connected neuronal network, the other one is a small-world neuronal network. This Izhikevich model is a simple model which can not only reproduce the rich behaviors of biological neurons but also has only two equations and one nonlinear term. Detailed investigations reveal that by varying some key parameters, such as the connection weights of neurons, the external current injection, the noise of intensity and the neuron number, this neuronal network will exhibit various collective behaviors in randomly coupled neuronal network. In addition, we show that by changing the number of nearest neighbor and connection probability in small-world topology can also affect the collective dynamics of neuronal activity. These results may be instructive in understanding the collective dynamics of mammalian cortex.