Delay-enhanced stability and stochastic resonance in perception bistability under non-Gaussian noise. (13th November 2015)

• Record Type: Journal Article
• Authors: Yang, Tao; Zeng, Chunhua; Liu, Ruifen; Wang, Hua; Mei, Dongcheng
• Is Part Of: Journal of statistical mechanics. (2015:Nov.)
• Publication Date: 2015-11-13
• Subjects: 9; 9/180 -- 9/300; Statistical mechanics -- Periodicals; Mechanics -- Statistical methods -- Periodicals; 530.1305
• DOI: 10.1088/1742-5468/2015/11/P11005
• Languages: English
• ISSNs: 1742-5468

Abstract

Abstract: 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.