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
Cite
@article{arxiv.1408.1986,
title = {Gabor-like Image Filtering using a Neural Microcircuit},
author = {C. Mayr and A. Heittmann and R. Schüffny},
journal= {arXiv preprint arXiv:1408.1986},
year = {2016}
}