A Biologically Supported Error-Correcting Learning Rule

Citation

Hancock PJB, Smith L & Phillips W (1991) A Biologically Supported Error-Correcting Learning Rule. Neural Computation, 3 (2), pp. 201-212. http://www.mitpressjournals.org/doi/abs/10.1162/neco.1991.3.2.201

Abstract
We show that a form of synaptic plasticity recently discovered in slices of the rat visual cortex (Artola et al. 1990) can support an error-correcting learning rule. The rule increases weights when both pre- and postsynaptic units are highly active, and decreases them when pre-synaptic activity is high and postsynaptic activation is less than the threshold for weight increment but greater than a lower threshold. We show that this rule corrects false positive outputs in feedforward associative memory, that in an appropriate opponent-unit architecture it corrects misses, and that it performs better than the optimal Hebbian learning rule reported by Willshaw and Dayan (1990).

Journal
Neural Computation: Volume 3, Issue 2

People

Professor Peter Hancock

Professor, Psychology

Professor Bill Phillips

Emeritus Professor, Psychology

Professor Leslie Smith

Emeritus Professor, Computing Science