Vibrational resonance without tuning in a neuronal parallel array

Chunxiao Han, Yingmei Qin, Qing Qin, Ruofan Wang, Meili Lu, Jia Zhao and Yanqiu Che

Physica A: Statistical Mechanics and its Applications, 2019, vol. 523, issue C, 204-210

Abstract: This paper investigates the propagation of the weak aperiodic signal in a parallel array of FitzHugh–Nagumo (FHN) neurons with heterogenous aperiodic high-frequency (HAHF) disturbances. Different from the traditional vibrational resonance, where the optimal amplitudes of the HF driving signal should be tuned for individual elements, the ability of the proposed averaging parallel array network for weak signal detection can be optimized at a fixed amplitude of the HAHF disturbance, regardless of the nature of the input signal. Local connections in the parallel array network are found to be important for the propagation of weak signal in parallel array. Besides, the characteristics of high-frequency signal such as heterogeneity and frequency, can also modulate the propagation of aperiodic signal in parallel array.

Keywords: Vibrational resonance; FitzHugh–Nagumo neuron; Parallel array; Heterogeneity; Aperiodic signal propagation (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:523:y:2019:i:c:p:204-210

DOI: 10.1016/j.physa.2019.02.042

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