Dynamic Hebbian learning strategies for VLSI-systems

In this paper we describe three digital hardware concepts of the modified H ebbian learning algorithm and compare them with regard to speed, area consu mption and I/O-performance. The application of the hardware in a sensory-mo tor application is presented. A small vehicle that drives on a slot-racetra ck points out the boundary conditions the neural hardware has to fulfill du e to the speed and the small dimensions of this setup. (C) 1999 Elsevier Sc ience B.V. All rights reserved.