MICROELECTRONICS FOR DYNAMIC NEURAL NETWORKS

Artificial Neural Networks are the massively parallel interconnection of simple processing elements. Computing times for the simulation of t hese parallel systems on today's von-Neumann-computers increase with t he squared number of processing elements. There is a need for applicat ion specific hardware. This paper describes various investigations of analog as well as digital hardware for neural networks. Possible solut ions for the connection problem and different circuit designs will be explained. Then our cascadable digital circuit for the emulation of a biology-oriented, dynamic neural network will be presented.