A microscopic spiking neuronal network for the age-structured model

DOI10.1007/s10440-016-0056-3zbMath1368.82018arXiv1503.00115OpenAlexW2276471063MaRDI QIDQ520169

Cristóbal Quiñinao

Publication date: 3 April 2017

Published in: Acta Applicandae Mathematicae (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1503.00115

zbMATH Keywords

neural networksPoisson couplingchaos propagationmean-field limitsage-structured model

Mathematics Subject Classification ID

Interacting particle systems in time-dependent statistical mechanics (82C22) Dynamical systems in biology (37N25) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Dynamics of disordered systems (random Ising systems, etc.) in time-dependent statistical mechanics (82C44) Integro-partial differential equations (35R09)

Related Items (5)

Weak and strong connectivity regimes for a general time elapsed neuron network model ⋮ Mean-field limit of age and leaky memory dependent Hawkes processes ⋮ Mean-field limit of generalized Hawkes processes ⋮ Relaxation in time elapsed neuron network models in the weak connectivity regime ⋮ A note on a neuron network model with diffusion

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