Stochastic Resonance in Neuronal Network Motifs with Ornstein-Uhlenbeck Colored Noise

Xuyang Lou

Mathematical Problems in Engineering, 2014, vol. 2014, 1-7

Abstract:

We consider here the effect of the Ornstein-Uhlenbeck colored noise on the stochastic resonance of the feed-forward-loop (FFL) network motif. The FFL motif is modeled through the FitzHugh-Nagumo neuron model as well as the chemical coupling. Our results show that the noise intensity and the correlation time of the noise process serve as the control parameters, which have great impacts on the stochastic dynamics of the FFL motif. We find that, with a proper choice of noise intensities and the correlation time of the noise process, the signal-to-noise ratio (SNR) can display more than one peak.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:902395

DOI: 10.1155/2014/902395

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