Numerical simulation of coherent resonance in a model network of Rulkov neurons

Andrey V. Andreev; Anastasia E. Runnova; Alexander N. Pisarchik

doi:10.1117/12.2315092

26 April 2018 Numerical simulation of coherent resonance in a model network of Rulkov neurons

Andrey V. Andreev, Anastasia E. Runnova, Alexander N. Pisarchik

Proceedings Volume 10717, Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV; 107172E (2018) https://doi.org/10.1117/12.2315092
Event: Saratov Fall Meeting 2017, 2017, Saratov, Russian Federation

Abstract

In this paper we study the spiking behaviour of a neuronal network consisting of Rulkov elements. We find that the regularity of this behaviour 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.

Citation Download Citation

Andrey V. Andreev, Anastasia E. Runnova, and Alexander N. Pisarchik "Numerical simulation of coherent resonance in a model network of Rulkov neurons", Proc. SPIE 10717, Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV, 107172E (26 April 2018); https://doi.org/10.1117/12.2315092

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