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Coherent resonance in neuron ensemble with electrical couplings

Andrei Andreev, Vladimir Makarov, Anastasia Runnova, Alexander Hramov
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. The coherence enhancement is characterized by the normalized standard deviation from the average inter-spike interval and by the signal-to-noise ratio calculated from power spectra of the excited neurons.
CYBERNETICS AND PHYSICS, Vol. 6, No. 3. 2017, 145–148
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