Current mode implementation of a neural algorithm for image preprocessing

Abstract

In this article first activities on circuit implementation of analog neural network hardware are presented. These circuits are intended to be used as sensory and preprocessing components of a digital VLSI high level image processing system. The one approach described here is based on the implementation of the McCulloch Pitts neuron model in a current mode circuit technique. A test chip with reduced resolution is being prepared. Simulation results obtained by solving the system of differential equations numerically shows some features of this type of neural network.