A note on a neuron network model with diffusion

dc.contributor.author Michel, Philippe
dc.contributor.author Tumuluri, Suman Kumar
dc.date.accessioned 2022-03-27T04:08:11Z
dc.date.available 2022-03-27T04:08:11Z
dc.date.issued 2020-09-01
dc.description.abstract We study the dynamics of inhomogeneous neuronal networks parametrized by a real number σ and structured by the time elapsed since the last discharge. The dynamics are governed by the parabolic PDE which describes the probability density of neurons with elapsed time s after its last discharge. We prove existence and uniqueness of a solution to the model. Moreover, we show that under some conditions on the connectivity and the firing rate, the networks exhibit total desynchronization.
dc.identifier.citation Discrete and Continuous Dynamical Systems - Series B. v.25(9)
dc.identifier.issn 15313492
dc.identifier.uri 10.3934/dcdsb.2020085
dc.identifier.uri http://aimsciences.org//article/doi/10.3934/dcdsb.2020085
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/6371
dc.subject Asymptotic behavior
dc.subject Existence of solution
dc.subject General relative entropy
dc.subject Renewal equation with diffusion
dc.title A note on a neuron network model with diffusion
dc.type Journal. Article
dspace.entity.type
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