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Stochastic neural field model of stimulus-dependent variability in cortical neurons

We use stochastic neural field theory to analyze the stimulus-dependent tuning of neural variability in ring attractor networks. We apply perturbation methods to show how the neural field equations can be reduced to a pair of stochastic nonlinear phase equations describing the stochastic wandering o...

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Detalles Bibliográficos
Publicado en:PLoS Comput Biol
Autor Principal: Bressloff, Paul C.
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science 2019
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6438587/
https://ncbi.nlm.nih.gov/pubmed/30883546
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006755
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