General time elapsed neuron network model: well-posedness and strong connectivity regime
Résumé
The time elapsed models, mathematically describing the probability density of neurons structured by the distributions of times elapsed since the last charge, are designed to analyse the firing activity of a homogenous assembly of neuron network. Under general assumption on the firing rate and the delay distribution, we prove the existence and the uniqueness of the weak solution in the whole connectivity regime as well as the parallel results obtained in [10], including the uniqueness of the steady state and its nonlinear exponential stability in the strong connectivity regime. The result generalizes more explicit asymptotic behaviours than those obtained in [11, 12] in the strong connectivity regime. Our approach uses the spectral analysis theory for semigroups in Banach spaces developed recently by the first author and collaborators.
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