Weak periodic signal detection by sine-Wiener-noise-induced resonance in the FitzHugh-Nagumo neuron

Cognitive Neurodynamics
Yuangen Yao, Jun Ma

Abstract

Based on the FitzHugh-Nagumo (FHN) neuron model subjected to sine-Wiener (SW) noise, impacts of SW noise on weak periodic signal detection are investigated by calculating response measure Q for characterizing synchronization between the input signal and the output temporal activities of the neuron. It is numerically demonstrated that the response measure Q can achieve the optimal value under appropriate and moderate intensity or correlation time of SW noise, suggesting the occurrence of SW-noise-induced stochastic resonance. Furthermore, the optimal value of Q is sensitive to correlation time. Consequently, the correlation time of SW noise has a great influence on the performance of signal detection in the FHN neuron.

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Citations

Nov 20, 2019·Cognitive Neurodynamics·Ying XuYa Jia
Jun 7, 2019·Cognitive Neurodynamics·Osamu Nakamura, Katsumi Tateno
May 14, 2020·Cognitive Neurodynamics·Jia ZhaoJingwen Li
Nov 4, 2020·Chaos·Xiaoming LiangLiang Zhao
Jul 18, 2021·Journal of Theoretical Biology·Ali ForoutanniaSajad Jafari

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