Enhancement of neuronal coherence by diversity in coupled Rulkov-map models

Hanshuang Chen, Jiqian Zhang and Jianqing Liu

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 5, 1071-1076

Abstract: We study the influence of diversity on the dynamics of spiking in spatially extended systems with global or diffusive couplings, which is locally modeled by a map-based neuron. The variance of the system’s parameter D is used to measure the diversity. It is found that the regularity of spikes reaches a maximum with a variation in D, indicating the occurrence of diversity-induced coherence resonance. Moreover, diversity-induced coherence resonance in this system can be greatly enhanced by increasing the coupling strength. Our analysis shows that these phenomena have inherent relevance to both the bifurcation feature of a single neuron and interaction through couplings. These results may exhibit that diversity plays a constructive role in enhancing the time precision of firing in a neural network.

Keywords: Diversity; Coherence resonance; Noise; Map neuron (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:5:p:1071-1076

DOI: 10.1016/j.physa.2007.10.040

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