Title :
VLSI implementation of neural networks
Author :
Tarassenko, L. ; Murray, A.F.
Author_Institution :
Dept. of Eng. Sci., Oxford Univ., UK
Abstract :
One of the main contributions to the resurgence of interest in artificial neural networks in the early 80´s was the work of Hopfield (1982) on feedback architectures with nonlinear threshold elements. Since the development of VLSI devices for the implementation of neural networks was initially stimulated by this work, the principles behind the Hopfield model are reviewed briefly. The paper then discusses: general principles of VLSI implementation, analogue VLSI neural networks, and pulse-stream VLSI neural networks
Keywords :
VLSI; analogue circuits; neural nets; parallel architectures; Hopfield; VLSI devices; analogue VLSI neural networks; artificial neural networks; feedback architectures; nonlinear threshold elements; pulse-stream VLSI neural networks;
Conference_Titel :
Current Issues in Neural Network Research, IEE Colloquium on
Conference_Location :
London
