Dynamics of time elapsed inhomogeneous neuron network model

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Models for neural networks have been proposed, which describe the probability to find a neuron for which time s has elapsed since the last discharge. These are written under the form of a nonlinear age-structured equation where the total network activity modulates the firing rate. Here, we consider an inhomogeneous network with variability on the refractory period. We give conditions on the connectivity, leading to total desynchronization of the network.
Publisher
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
Issue Date
2015-12
Language
English
Article Type
Article
Citation

COMPTES RENDUS MATHEMATIQUE, v.353, no.12, pp.1111 - 1115

ISSN
1631-073X
DOI
10.1016/j.crma.2015.09.029
URI
http://hdl.handle.net/10203/278722
Appears in Collection
MA-Journal Papers(저널논문)
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