期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 492, 期 -, 页码 1247-1256出版社
ELSEVIER
DOI: 10.1016/j.physa.2017.11.052
关键词
Cross-correlated sine-Wiener noise; Bounded noise; Signal detection; FitzHugh-Nagumo neuron
资金
- National Natural Science Foundation of China [31601071, 11675060, 11205006]
- Huazhong Agricultural University Scientific & Technological Self-innovation Foundation [2015RC021]
- Natural Science New Star of Science and Technologies Research Plan in Shaanxi Province of China [2014 kJXX-77]
We study the effects of multiplicative and additive cross-correlated sine-Wiener (CCSW) noises on the performance of sub-threshold periodic signal detection in the FitzHugh-Nagumo (FHN) neuron by calculating Fourier coefficients Q for measuring synchronization between sub-threshold input signal and the response of system. CCSW noises-induced transitions of electrical activity in the FHN neuron model can be observed. Moreover, the performance of sub-threshold periodic signal detection is achieved at moderate noise strength, cross-correlation time and cross-correlation strength of CCSW noises, which indicate the occurrence of CCSW noises-induced stochastic resonance. Furthermore, the performance of sub-threshold signal detection is strongly sensitive to cross-correlation time of CCSW noises. Therefore, the performance can be effectively controlled by regulating cross-correlation time of CCSW noises. These results provide a possible mechanism for amplifying or detecting the sub-threshold signal in the nervous system. (C) 2017 Elsevier B.V. All rights reserved.
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