A simple Hebbian/anti-Hebbian network learns the sparse, independent components of natural images

Falconbridge, M.S., Stamps, R.L. and Badcock, D.R. (2006) A simple Hebbian/anti-Hebbian network learns the sparse, independent components of natural images. Neural Computation, 18(2), pp. 415-429. (doi: 10.1162/089976606775093891)

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Publisher's URL: http://dx.doi.org/10.1162/089976606775093891

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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Stamps, Professor Robert
Authors: Falconbridge, M.S., Stamps, R.L., and Badcock, D.R.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Neural Computation
ISSN:0899-7667
ISSN (Online):1530-888X

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