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Relaxation in time elapsed neuron network models in the weak connectivity regime

Abstract : In order to describe the firing activity of a homogenous assembly of neurons, we consider time elapsed models, which give mathematical descriptions of the probability density of neurons structured by the distribution of times elapsed since the last discharge. Under general assumption on the firing rate and the delay distribution, we prove the uniqueness of the steady state and its nonlinear exponential stability in the weak connectivity regime. The result generalizes some similar results obtained in [10] in the case without delay. Our approach uses the spectral analysis theory for semigroups in Banach spaces developed recently by the first author and collaborators.
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https://hal.archives-ouvertes.fr/hal-01148645
Contributor : Stéphane Mischler <>
Submitted on : Saturday, December 24, 2016 - 6:04:50 PM
Last modification on : Monday, August 3, 2020 - 3:37:36 AM
Document(s) archivé(s) le : Tuesday, March 21, 2017 - 2:26:27 AM

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  • HAL Id : hal-01148645, version 2
  • ARXIV : 1505.06097

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S Mischler, Q Weng. Relaxation in time elapsed neuron network models in the weak connectivity regime. 2015. ⟨hal-01148645v2⟩

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