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Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks

Pattern separation is a fundamental function of the brain. The divergent feedforward networks thought to underlie this computation are widespread, yet exhibit remarkably similar sparse synaptic connectivity. Marr-Albus theory postulates that such networks separate overlapping activity patterns by ma...

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Detalles Bibliográficos
Autores principales:	Cayco-Gajic, N. Alex, Clopath, Claudia, Silver, R. Angus
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653655/ https://www.ncbi.nlm.nih.gov/pubmed/29061964 http://dx.doi.org/10.1038/s41467-017-01109-y

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