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 journalArticlepeer-review

6 Scopus citations


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
StatePublished - Jun 1 2019

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Condensed Matter Physics


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