Portal de Periódicos da CAPES

A Biologically Supported Error-Correcting Learning Rule

1991; The MIT Press; Volume: 3; Issue: 2 Linguagem: Inglês

10.1162/neco.1991.3.2.201

1530-888X

Peter Hancock, Leslie S. Smith, William A. Phillips,

Memory and Neural Mechanisms

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).