hide
Free keywords:
-
Abstract:
Recently it was shown (Reichardt 1961) that lateral neural inhibition, such as was found in the lateral eye of Limulus polyphemus by Hartline and Ratliff, can in principle compensate for the dioptric apparatus of the eye. The model of lateral inhibition in Limulus developed there is here considered further, with emphasis on the changes in the effective structure of the nerve network (and the associated vector transformation) resulting from the forced inactivity of fibers whose inhibition exceeds their excitation. The stability of the network model as a function of the inhibition coefficients is studied and two theorems regarding the stability are proven. The dependence of the properties of the network on the pattern of receptor excitation are investigated and it is shown by examples that the network could be used for form discrimination. This model‘s relationship to previously known pattern recognition systems is discussed and its possible application in computer technology is mentioned.
