Control of coherence resonance in multiplex neural networks
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 is sufficient to induce these phenomena in layer 2. Our results hold for small and large neuronal populations.
- Publication:
-
Chaos Solitons and Fractals
- Pub Date:
- April 2021
- DOI:
- 10.1016/j.chaos.2021.110666
- arXiv:
- arXiv:2009.09830
- Bibcode:
- 2021CSF...14510666M
- Keywords:
-
- Synchronization;
- Multiplex network;
- Coherence resonance;
- FitzHugh-Nagumo neuron;
- Nonlinear Sciences - Adaptation and Self-Organizing Systems
- E-Print:
- doi:10.1016/j.chaos.2021.110666