VLSI Implementations of Learning and Memory Systems: A Review
M. Höller · Neural Information Processing Systems · 1990
A large number of VLSI implementations of neural network models have been reported. The diversity of these implementations is noteworthy. This paper attempts to put a group of representative VLSI implementations in perspective by comparing and contrasting them. Design trade-offs are discussed and some suggestions for the direction of future implementation efforts are made.