VLSI implementation of a pulse Hebbian learning law

The authors describe a Hebbian learning rule which is particularly well suited for VLSI implementation. The authors first introduce a signal coding method where signal information is represented as pulse probabilities. The authors then briefly describe the functionality of an impulse neuron circuit in terms of that method. Competitive learning is then reviewed in the context of the probabilistic representation. The pulse Hebbian learning law is then introduced and analyzed in these terms. The authors close with an example of a simple pulse Hebbian synapse circuit for use in a competitive neural network.<>