TY - JOUR
T1 - A Simple Hebbian/Anti-Hebbian Network Learns the Sparse, Independent Components of Natural Images
AU - Falconbridge, Michael
AU - Stamps, R.L.
AU - Badcock, David
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
U2 - 10.1162/089976606775093891
DO - 10.1162/089976606775093891
M3 - Article
C2 - 16378520
SN - 0899-7667
VL - 18
SP - 415
EP - 429
JO - Neural Computation
JF - Neural Computation
IS - 2
ER -