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Weak and strong connectivity regimes for a general time elapsed neuron network model

Abstract : For large fully connected neuron networks, we study the dynamics of homogenous assemblies of interacting neurons described by time elapsed models. Under general assumptions on the firing rate which include the ones made in previous works [7, 8, 6], we establish accurate estimate on the long time behavior of the solutions in the weak and the strong connectivity regime both in the case with and without delay. Our results improve [7, 8] where a less accurate estimate was established and [6] where only smooth firing rates were considered. Our approach combines several arguments introduced in the above previous works as well as a slightly refined version of the Weyl's and spectral mapping theorems presented in [13, 4].
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Preprints, Working Papers, ...
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Contributor : Qilong Weng Connect in order to contact the contributor
Submitted on : Wednesday, March 7, 2018 - 3:47:50 AM
Last modification on : Tuesday, January 18, 2022 - 3:24:11 PM
Long-term archiving on: : Friday, June 8, 2018 - 12:40:40 PM


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  • HAL Id : hal-01703349, version 2
  • ARXIV : 1802.02893


Stéphane Mischler, Cristobal Quiñinao, Qilong Weng. Weak and strong connectivity regimes for a general time elapsed neuron network model. 2018. ⟨hal-01703349v2⟩



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