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arXiv · 2009.09830

Control of coherence resonance in multiplex neural networks

M. Masoliver·C. Masoller·A. Zakharova
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Abstract

We study the dynamics of two neuronal populations weakly and mutually coupled in a multiplexed ring configuration. We simulate the neuronal activity with the stochastic FitzHugh-Nagumo (FHN) model. The two neuronal populations perceive different levels of noise: one population exhibits spiking activity induced by supra-threshold noise (layer 1), while the other population is silent in the absence of inter-layer coupling because its own level of noise is sub-threshold (layer 2). We find that, for appropriate levels of noise in layer 1, weak inter-layer coupling can induce coherence resonance (CR), anti-coherence resonance (ACR) and inverse stochastic resonance (ISR) in layer 2. We also find that a small number of randomly distributed inter-layer links are sufficient to induce these phenomena in layer 2. Our results hold for small and large neuronal populations.

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M. Masoliver, C. Masoller, A. Zakharova. 2020-09-21. Control of coherence resonance in multiplex neural networks. https://doi.org/10.1016/j.chaos.2021.110666

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