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arXiv · 1806.07149

Stochastic FitzHugh-Nagumo neuron model in excitable regime embeds a leaky integrate-and-fire model

Marius E. Yamakou·Tat Dat Tran·Luu Hoang Duc·Juergen Jost
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Abstract

In this paper, we provide a complete mathematical construction for a stochastic leaky-integrate-and-fire model (LIF) mimicking the interspike interval (ISI) statistics of a stochastic FitzHugh-Nagumo neuron model (FHN) in the excitable regime, where the unique fixed point is stable. Under specific types of noises, we prove that there exists a global random attractor for the stochastic FHN system. The linearization method is then applied to estimate the firing time and to derive the associated radial equation representing a LIF equation. This result confirms the previous prediction in [Ditlevsen, S. and Greenwood, P. (2013). The Morris-Lecar neuron model embeds a leaky integrate-and-fire model. Journal of Mathematical Biology, 67(2):239-259] for the Morris-Lecar neuron model in the bistability regime consisting of a stable fixed point and a stable limit cycle.

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Marius E. Yamakou, Tat Dat Tran, Luu Hoang Duc, Juergen Jost. 2018-06-19. Stochastic FitzHugh-Nagumo neuron model in excitable regime embeds a leaky integrate-and-fire model. https://doi.org/10.1007/s00285-019-01366-z

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