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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Auteurs principaux: András Lörincz, Zsolt Palotai, Gábor Szirtes
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2012
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Accès en ligne:https://doaj.org/article/fcc25e19051f45d9b8fedf6e8f4a0889
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