Article
Details
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
Status | Published |
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Publication date | 31/07/1991 |
Publication date online | 13/03/2008 |
URL | |
Publisher | MIT Press |
Publisher URL | |
ISSN | 0899-7667 |
eISSN | 1530-888X |
People (2)
Emeritus Professor, Psychology
Emeritus Professor, Computing Science