Efficient sparse coding in early sensory processing: lessons from signal recovery.

Sensory representations are not only sparse, but often overcomplete: coding units significantly outnumber the input units. For models of neural coding this overcompleteness poses a computational challenge for shaping the signal processing channels as well as for using the large and sparse representa...

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Bibliographic Details
Main Authors: András Lörincz, Zsolt Palotai, Gábor Szirtes
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22396629/pdf/?tool=EBI