A Simple Hebbian/Anti-Hebbian Network Learns the Sparse, Independent Components of Natural Images

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Abstract

Slightly modified versions of an early Hebbian/anti-Hebbian neural network are shown to be capable of extracting the sparse, independent linear components of a prefiltered natural image set. An explanation for this capability in terms of a coupling between two hypothetical networks is presented. The simple networks presented here provide alternative, biologically plausible mechanisms for sparse, factorial coding in early primate vision.
Original languageEnglish
Pages (from-to)415-429
JournalNeural Computation
Volume18
Issue number2
DOIs
Publication statusPublished - 2006

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