<title>Analysis and analog implementation of directionally sensitive shunting inhibitory neural networks</title>

Abstract

The most significant property of these networks is their differential response to stimuli moving in opposite directions. A quantitative analysis shows that this directional response adapts to mean luminance levels and varies with size and speed of moving objects, as well as with coupling order among elements of a network. Both biophysical and analog hardware implementations of this class of networks are given here. Implementation of unidirectional coupling and the response to directional edges are demonstrated and shown to accord well with that of the neural network.