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Gabor-Like Image Filtering Using a Neural Microcircuit

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3 Author(s)
C. Mayr ; Circuits & Syst. Lab., Dresden Univ. of Technol. ; A. Heittmann ; R. Schffny

In this letter, we present an implementation of a neural microcircuit for image processing employing Hebbian-adaptive learning. The neuronal circuit utilizes only excitatory synapses to correlate action potentials, extracting the uncorrelated ones, which contain significant image information. This circuit is capable of approximating Gabor-like image filtering and other image processing functions

Published in:

IEEE Transactions on Neural Networks  (Volume:18 ,  Issue: 3 )