Delay-enhanced stability and stochastic resonance in perception bistability under non-Gaussian noise

被引：15

作者：

Yang, Tao ^{[1
]}

Zeng, Chunhua ^{[1
,2
]}

Liu, Ruifen ^{[1
]}

Wang, Hua ^{[3
]}

Mei, Dongcheng ^{[4
]}

机构：

[1] Kunming Univ Sci & Technol, Fac Sci, Kunming 650093, Peoples R China

[2] Nanjing Univ, Dept Phys, Nanjing 210093, Jiangsu, Peoples R China

[3] Kunming Univ Sci & Technol, State Key Lab Complex Nonferrous Met Resources Cl, Kunming 650093, Peoples R China

[4] Yunnan Univ, Dept Phys, Kunming 650091, Peoples R China

来源：

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT | 2015年

基金：

中国国家自然科学基金;

关键词：

fluctuations (theory); stochastic processes (theory); COLORED-NOISE; TIME-DELAY; SYSTEM; DRIVEN; MODEL;

D O I：

10.1088/1742-5468/2015/11/P11005

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

In this paper we investigate the effect of time delay in an attractor network model of perception bistability driven by non-Gaussian noise. Using delay Langevin and Fokker-Planck approaches, the theoretical analysis of the model is presented. It is found that the mean first-passage time (MFPT) as a function of the time delay exhibits a maximum, which is identified as the characteristic of the delay-enhanced stability of the system. This is different to the case of noise-enhanced stability. The non-Gaussian noise-enhanced stability of the system is also analyzed. The signal-to-noise ratio (SNR) as a function of the noise intensity exhibits a maximum. This maximum implies the identifying characteristic of stochastic resonance (SR), and the time delay and non-Gaussian noise can enhance the SR phenomenon.

引用

页数：15

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