title: Gabor-like image filtering using a neural microcircuit.
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.
authors.forename: C
authors.initials: C
authors.lastname: Mayr
authors.forename: A
authors.initials: A
authors.lastname: Heittmann
authors.forename: R
authors.initials: R
authors.lastname: Schüffny
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D004581:Electronics; D004867:Equipment Design; D019544:Equipment Failure Analysis; D007089:Image Enhancement / Q000295:instrumentation / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods*; D008904:Miniaturization; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*