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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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Veröffentlicht in:Nat Commun
Hauptverfasser: Cayco-Gajic, N. Alex, Clopath, Claudia, Silver, R. Angus
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group UK 2017
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5653655/
https://ncbi.nlm.nih.gov/pubmed/29061964
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-017-01109-y
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