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Gabor-like Image Filtering using a Neural Microcircuit
Published 8 Aug 2014 in cs.CV, cs.ET, and q-bio.NC | (1408.1986v1)
Abstract: 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
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