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Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation

The spiking activity of single neurons can be well described by a nonlinear integrate-and-fire model that includes somatic adaptation. When exposed to fluctuating inputs sparsely coupled populations of these model neurons exhibit stochastic collective dynamics that can be effectively characterized u...

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Détails bibliographiques
Publié dans:PLoS Comput Biol
Auteurs principaux: Augustin, Moritz, Ladenbauer, Josef, Baumann, Fabian, Obermayer, Klaus
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2017
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Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5507472/
https://ncbi.nlm.nih.gov/pubmed/28644841
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005545
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