文献类型：期刊文献

英文题名：The Effect of Inhibitory Neuron on the Evolution Model of Higher-Order Coupling Neural Oscillator Population

作者：Qi, Yi[1];Wang, Rubin[1];Jiao, Xianfa[2];Du, Ying[1]

机构：[1]E China Univ Sci & Technol, Inst Cognit Neurodynam, Shanghai 200237, Peoples R China;[2]Hefei Univ Technol, Sch Math, Hefei 230009, Peoples R China

年份：2014

卷号：2014

外文期刊名：COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE

收录：;EI(收录号：20214511123962);WOS:【SCI-EXPANDED(收录号:WOS:000330402600001)】；

基金：This work was supported by the National Natural Science Foundation of China (11232005, 11002055, 11172086) and the Ministry of Education Doctoral Foundation (20120074110020).

语种：英文

摘要：We proposed a higher-order coupling neural network model including the inhibitory neurons and examined the dynamical evolution of average number density and phase-neural coding under the spontaneous activity and external stimulating condition. The results indicated that increase of inhibitory coupling strength will cause decrease of average number density, whereas increase of excitatory coupling strength will cause increase of stable amplitude of average number density. Whether the neural oscillator population is able to enter the new synchronous oscillation or not is determined by excitatory and inhibitory coupling strength. In the presence of external stimulation, the evolution of the average number density is dependent upon the external stimulation and the coupling term in which the dominator will determine the final evolution.