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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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| Publicat a: | PLoS Comput Biol |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2017
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| Matèries: | |
| Accés en línia: | 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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