Coherence Resonance in Coupled Neuron Models Driven by Colored Noise

Author

Liu, Zhihong ; Zhou, Yurong ; Zhang, Xiaochun ; Pang, Xiaofeng

Author_Institution

Sch. of Life Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

1

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

408

Lastpage

410

Abstract

The phenomenon of coherence resonance (CR) in the coupled Fitz Hugh-Nagumo neuron models driven by the colored noise is investigated. Based on the method of colored noise approximation and Euler schemes, the interval-spike-interval (ISI) of the neuron firing and the coefficient of variation (CV) have been obtained. It is shown that the CV is a non-monotonic function of the coupling strength and the intensity of colored noise. Furthermore, by choosing the appropriate noise parameter and the coupled coefficient, the minimum of the CV can be attained, the phenomenon of coherence resonance can occur.

Keywords

coherence; graph theory; neural nets; random noise; Euler schemes; coherence resonance phenomenon; colored noise approximation method; coupled Fitz Hugh-Nagumo neuron model; interval-spike interval; neuron firing; nonmonotonic function; variation coefficient; Chromium; Coherence; Colored noise; Couplings; Electrons; Intersymbol interference; Neurons; Signal to noise ratio; Stochastic resonance; Strontium; coefficient variation; coherence resonance; colored noise; coupled;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.101

Filename

5367082