Gabor-like image filtering using a neural microcircuit

IEEE Trans Neural Netw. 2007 May;18(3):955-9. doi: 10.1109/TNN.2007.891687.

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.

Publication types

  • Letter
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Artificial Intelligence
  • Electronics
  • Equipment Design
  • Equipment Failure Analysis
  • Image Enhancement / instrumentation
  • Image Enhancement / methods*
  • Image Interpretation, Computer-Assisted / instrumentation*
  • Image Interpretation, Computer-Assisted / methods
  • Information Storage and Retrieval / methods*
  • Miniaturization
  • Neural Networks, Computer*
  • Signal Processing, Computer-Assisted / instrumentation*