物理学报2012，Vol.61Issue(12)：111-116,6.
双色噪声激励下FHN神经元系统的稳态性质
Steady state characteries of FitzHugh-Nagumo neural system subjected to two different kinds of colored noises
摘要
Abstract
Making use of the unified colored noise approximation, the steady sate characteristics of the one-dimensional FitzHugh-Nagumo neural system with two different kinds of colored noises are investigated. The expressions of the steady state probability distribution function and the mean value are obtained. After numerical calculation, the results show that the self-correlated time of the multiplicative noise T1, the self-correlated time of the additive noise T2,the intensity of the additive noise a, and the intensity of the multiplicative noise D can induce the transition. The increases of a and D are conducive to the switch from the exciting state to the resting state. However, with Tl and Tz increasing, the switch from the resting state to the exciting state becomes obvious. The noise intensity and corresponding self-correlated time play opposite roles.关键词
FHN神经元系统/色噪声/稳态概率分布/平均值Key words
FHN neural system/colored noise/steady state probability distribution function/mean value分类
数理科学引用本文复制引用
杨亚强,王参军..双色噪声激励下FHN神经元系统的稳态性质[J].物理学报,2012,61(12):111-116,6.基金项目
国家自然科学基金（批准号：11165016）,陕西省自然科学基金（批准号：20lOJQl014）,陕西省教育厅科研计划项目（批准号：12JK0962）和宝鸡文理学院重点科研项目（批准号：ZKll053）资助的课题. （）
