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Multiscale analysis of slow-fast neuronal learning models with noise

This paper deals with the application of temporal averaging methods to recurrent networks of noisy neurons undergoing a slow and unsupervised modification of their connectivity matrix called learning. Three time-scales arise for these models: (i) the fast neuronal dynamics, (ii) the intermediate ext...

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Detalles Bibliográficos
Autores principales: Galtier, Mathieu, Wainrib, Gilles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571918/
https://www.ncbi.nlm.nih.gov/pubmed/23174307
http://dx.doi.org/10.1186/2190-8567-2-13