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

michaelf{at}psy.uwa.edu.au School of Psychology, University of Western Australia, Nedlands WA 6009, Australia

Robert L. Stamps

stamps{at}physics.uwa.edu.au School of Physics, University of Western Australia, Nedlands WA 6009, Australia

David R. Badcock

david{at}psy.uwa.edu.au School of Psychology, University of Western Australia, Nedlands WA 6009, Australia

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.