General time elapsed neuron network model: well-posedness and strong connectivity regime

Q Weng (1)

1 CEREMADE - CEntre de REcherches en MAthématiques de la DEcision

For large fully connected neuron networks, we study the dynamics of homogenous assemblies of interacting neurons described by time elapsed models, indicating how the time elapsed since the last discharge construct the probability density of neurons. Through the spectral analysis theory for semigroups in Banach spaces developed recently in [6, 9], on the one hand, we prove the existence and the uniqueness of the weak solution in the whole connectivity regime as well as the parallel results on the long time behavior of solutions obtained in [10] under general assumptions on the ring rate and the delay distribution. On the other hand, we extend those similar results obtained in [11, 12] in the case without delay to the case taking delay into account and both in the weak and the strong connectivity regime with a particular step function ring rate. Our approach uses the spectral analysis theory for semigroups in Banach spaces developed recently by the first author and collaborators.

Mots clés: semigroup spectral analysis; Neuron networks; time elapsed dynamics; strong connectivity; exponential asymptotic stability

Domaines: Equations aux dérivées partielles [math.AP]

Q Weng. General time elapsed neuron network model: well-posedness and strong connectivity regime. 2016. ⟨hal-01243163v3⟩