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Vibrational resonance without tuning in a neuronal parallel array.

Authors :
Han, Chunxiao
Qin, Yingmei
Qin, Qing
Wang, Ruofan
Lu, Meili
Zhao, Jia
Che, Yanqiu
Source :
Physica A. Jun2019, Vol. 523, p204-210. 7p.
Publication Year :
2019

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. • Parallel vibrational resonance (VR) occurs with aperiodic high-frequency disturbances. • VR enhances weak aperiodic signal detection in a parallel array of neural networks. • Local connections are important for weak signal propagation. • Disturbances' heterogeneity and frequency modulate propagation of aperiodic signals. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03784371
Volume :
523
Database :
Academic Search Index
Journal :
Physica A
Publication Type :
Academic Journal
Accession number :
136500516
Full Text :
https://doi.org/10.1016/j.physa.2019.02.042