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Journal Articles Journal of Mathematical Biology Year : 2012

Population density models of integrate-and- fire neurons with jumps: Well-posedness

Abstract

In this paper we study the well-posedness of different models of population of leaky integrate- and- re neurons with a population density approach. The synaptic interaction between neurons is modeled by a potential jump at the reception of a spike. We study populations that are self excitatory or self inhibitory. We distinguish the cases where this interaction is instantaneous from the one where there is a repartition of conduction delays. In the case of a bounded density of delays both excitatory and inhibitory population models are shown to be well-posed. But without conduction delay the solution of the model of self excitatory neurons may blow up. We analyze the di erent behaviours of the model with jumps compared to its di usion approximation.
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Dates and versions

hal-00711492 , version 1 (25-06-2012)

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Grégory Dumont, Jacques Henry. Population density models of integrate-and- fire neurons with jumps: Well-posedness. Journal of Mathematical Biology, 2012, ⟨10.1007/s00285-012-0554-5⟩. ⟨hal-00711492⟩
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