Optimal Self-Induced Stochastic Resonance in Multiplex Neural Networks: Electrical vs. Chemical Synapses

@article{Yamakou2020OptimalSS,
  title={Optimal Self-Induced Stochastic Resonance in Multiplex Neural Networks: Electrical vs. Chemical Synapses},
  author={Marius E. Yamakou and P. Hjorth and E. A. Martens},
  journal={Frontiers in Computational Neuroscience},
  year={2020},
  volume={14}
}
Electrical and chemical synapses shape the dynamics of neural networks, and their functional roles in information processing have been a longstanding question in neurobiology. In this paper, we investigate the role of synapses on the optimization of the phenomenon of self-induced stochastic resonance in a delayed multiplex neural network by using analytical and numerical methods. We consider a two-layer multiplex network in which, at the intra-layer level, neurons are coupled either by… Expand

Figures from this paper

References

SHOWING 1-10 OF 102 REFERENCES
Stochastic resonance in hybrid scale-free neuronal networks
Control of coherence resonance by self-induced stochastic resonance in a multiplex neural network.
A network of fast-spiking cells in the neocortex connected by electrical synapses
Electrical synapses: a dynamic signaling system that shapes the activity of neuronal networks.
Two networks of electrically coupled inhibitory neurons in neocortex
Autapse-induced multiple coherence resonance in single neurons and neuronal networks
ELECTRICAL SYNAPSES IN THE MAMMALIAN BRAIN
Spike chimera states and firing regularities in neuronal hypernetworks.
Functional importance of noise in neuronal information processing
Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review
...
1
2
3
4
5
...