A dynamic evolution model for the set of populations of neurons

被引：0
|
作者：
Wang, RB [1 ]
Chen, H [1 ]
机构：
[1] Donghua Univ, Sch Sci, Inst Brain Informat Proc & Cognit Neurosci, Shanghai 200051, Peoples R China
来源：
INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION | 2003年 / 4卷 / 03期
关键词：
m populations of neurons; stimulation and background noise; phase resetting dynamics; the PFK equation; average number density; changeable amplitude;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A model for the phase resetting dynamics of concourse composed by m neuronal populations is proposed, and the concept of the global average number density is presented. The model can describe the interaction of m neuronal populations and the evolution alone with time under both stimulation and noise at two aspects of the phase and the amplitude, and it is more close to actual action of the behavior of brain.
引用
收藏
页码：203 / 208
页数：6
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