Summary
International Symposium on Nonlinear Theory and its Applications
2017
Session Number:C2L-B
Session:
Number:C2L-B-5
Coherent Resonance in Neuronal Networks Under External Signal Influence
Andrey Andreev, Alexander Hramov, Vladimir Makarov, Svetlana Pchelintseva, Anastasia Runnova, Alexander Pisarchik,
pp.657-660
Publication Date:2017/12/4
Online ISSN:2188-5079
Summary:
We find that the regularity in the spiking behaviour of a neuronal network maximizes at a certain level of environment noise. This effect referred to as coherence resonance is demonstrated in a random complex network of Rulkov neurons. An external stimulus added to some of neurons excites them, and then activates other neurons in the network. The network coherence is also maximized at the certain stimulus amplitude, coupling strength, and the number of stimulated neurons.