Current mode implementation of a neural algorithm for image preprocessing
J.-U. Schlüßler, J. Werner, Johanna Dohndorf, Ivo Koren, Ulrich Ramacher, Chang-Han Yi, Heinrich Klar · 1996
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.