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Steady state characteries of FitzHugh-Nagumo neural system subjected to two different kinds of colored noises
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Making use of the unified colored noise approximation, the steady sate characteristics of the one-dimension of FitzHugh-Nagumo neural system with two different 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 1, the self-correlated time of the additive noise 2,the intensity of the additive noise , and the intensity of the multiplicative noise D can induce the transition. The increases of and D are conductive to the switch from the exciting state to the resting state. However, with 1 and 2 increasing, the switch from the resting state to the exciting state becomes obvious. The noise intensity and it self-correlated time play opposite roles.
Acta Physica Sinica, Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences
Title: Steady state characteries of FitzHugh-Nagumo neural system subjected to two different kinds of colored noises
Description:
Making use of the unified colored noise approximation, the steady sate characteristics of the one-dimension of FitzHugh-Nagumo neural system with two different 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 1, the self-correlated time of the additive noise 2,the intensity of the additive noise , and the intensity of the multiplicative noise D can induce the transition.
The increases of and D are conductive to the switch from the exciting state to the resting state.
However, with 1 and 2 increasing, the switch from the resting state to the exciting state becomes obvious.
The noise intensity and it self-correlated time play opposite roles.
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