文献类型：期刊文献

英文题名：Analysis of neurodynamics on phase neural coding in the presence of inhibitory neurons

作者：Liu, Yan[1]; Wang, Rubin[1]; Zhang, Zhikang[1]; Jiao, Xianfa[2]

机构：[1] East China University of Science and Technology, Institute for Cognitive Neurodynamics, Shanghai, China; [2] Hefei University of Technology, Department of Mathematics, Hefei, China

年份：2009

卷号：2

起止页码：361

外文期刊名：5th International Conference on Natural Computation, ICNC 2009

收录：EI(收录号：20101512843674)

语种：英文

外文关键词：Codes (symbols) - Population statistics - Neurons - Stochastic systems - Stochastic models - Computation theory

摘要：The paper studies the phase coding in the neural networks composed of neural oscillator populations through the theory of the stochastic phase dynamics under the presence of inhibitory neurons, builds a stochastic nonlinear phase dynamic model subject to coupling action of inhibitory neurons, and numerically analyses the process of dynamic evolution and spontaneous behavior under the condition of simulation according to the model. The results prove that inhibitory neurons can reduce the amplitude of the average number density in excitatory neural oscillator population, and trend of the synchronization motion of excitatory neural oscillator population can be controlled through increasing coupling coefficient of inhibitory neurons. Firing density of population of neural oscillator and evolution of average number density is studied through variety of the stimulation intensity. ? 2009 IEEE.