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Proceedings Paper

Influence of noise sources on FitzHugh-Nagumo model in suprathreshold regime
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Paper Abstract

We study the response time of a neuron in the transient regime of FitzHugh-Nagumo model, in the presence of a suprathreshold signal and noise sources. In the deterministic regime we find that the activation time of the neuron has a minimum as a function of the signal driving frequency. In the stochastic regime we consider two cases: (a) the fast variable of the model is noisy, and (b) the slow variable, that is the recovery variable, is subjected to fluctuations. In both cases we find two noise-induced effects, namely the resonant activation-like and the noise enhanced stability phenomena. The role of these noise-induced effects is analyzed. The first one produces suppression of noises, while the second one delays the neuron response. Finally, the role of the phase of the driving signal on the transient dynamics of the neuron is analyzed.

Paper Details

Date Published: 23 May 2005
PDF: 12 pages
Proc. SPIE 5841, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems III, (23 May 2005); doi: 10.1117/12.609801
Show Author Affiliations
Bernardo Spagnolo, INFM and Univ. degli Studi di Palermo (Italy)
Evgeniya V. Pankratova, Volga State Academy (Russia)

Published in SPIE Proceedings Vol. 5841:
Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems III
Nigel G. Stocks; Derek Abbott; Robert P. Morse, Editor(s)

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