On the asymptotic behavior of the NNLIF neuron model for general connectivity strength

Fuente: arXiv
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Hauptverfasser: Cáceres, María J., Cañizo, José A., Ramos-Lora, Alejandro
Format: Preprint
Veröffentlicht: 2024
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author Cáceres, María J.
Cañizo, José A.
Ramos-Lora, Alejandro
author_facet Cáceres, María J.
Cañizo, José A.
Ramos-Lora, Alejandro
contents We prove new results on the asymptotic behavior of the nonlinear integrate-and-fire neuron model. Among them, we give a criterion for the linearized stability or instability of equilibria, without restriction on the connectivity parameter, which provides a proof of stability or instability in some cases. In all cases, this criterion can be checked numerically, allowing us to give a full picture of the stable and unstable equilibria depending on the connectivity parameter and transmission delay. We also give further spectral results on the associated linear equation, and use them to give improved results on the nonlinear stability of equilibria for weak connectivity, and on the link between linearized and nonlinear stability.
format Preprint
id arxiv_https___arxiv_org_abs_2401_13534
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the asymptotic behavior of the NNLIF neuron model for general connectivity strength
Cáceres, María J.
Cañizo, José A.
Ramos-Lora, Alejandro
Analysis of PDEs
We prove new results on the asymptotic behavior of the nonlinear integrate-and-fire neuron model. Among them, we give a criterion for the linearized stability or instability of equilibria, without restriction on the connectivity parameter, which provides a proof of stability or instability in some cases. In all cases, this criterion can be checked numerically, allowing us to give a full picture of the stable and unstable equilibria depending on the connectivity parameter and transmission delay. We also give further spectral results on the associated linear equation, and use them to give improved results on the nonlinear stability of equilibria for weak connectivity, and on the link between linearized and nonlinear stability.
title On the asymptotic behavior of the NNLIF neuron model for general connectivity strength
topic Analysis of PDEs
url https://arxiv.org/abs/2401.13534