Vibrational resonance without tuning in a neuronal parallel array

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

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)204-210
Number of pages7
JournalPhysica A: Statistical Mechanics and its Applications
Volume523
DOIs
StatePublished - Jun 1 2019

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Tuning
tuning
Propagation
propagation
disturbances
Disturbance
Signal Detection
signal detection
neurons
Averaging
Neuron

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Condensed Matter Physics

Cite this

Han, Chunxiao ; Qin, Yingmei ; Qin, Qing ; Wang, Ruofan ; Lu, Meili ; Zhao, Jia ; Che, Yanqiu. / Vibrational resonance without tuning in a neuronal parallel array. In: Physica A: Statistical Mechanics and its Applications. 2019 ; Vol. 523. pp. 204-210.
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Vibrational resonance without tuning in a neuronal parallel array. / Han, Chunxiao; Qin, Yingmei; Qin, Qing; Wang, Ruofan; Lu, Meili; Zhao, Jia; Che, Yanqiu.

In: Physica A: Statistical Mechanics and its Applications, Vol. 523, 01.06.2019, p. 204-210.

Research output: Contribution to journalArticle

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