Convergence of stochastic learning in perceptrons with binary synapses.


The efficacy of a biological synapse is naturally bounded, and at some resolution, and is discrete at the latest level of single vesicles. The finite number of synaptic states dramatically reduce the storage capacity of a network when online learning is considered (i.e., the synapses are immediately modified by each pattern): the trace of old memories… (More)


3 Figures and Tables

Slides referencing similar topics