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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507472/ https://www.ncbi.nlm.nih.gov/pubmed/28644841 http://dx.doi.org/10.1371/journal.pcbi.1005545 |