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Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: A Biologically Supported Error-Correcting Learning Rule
Author(s): Hancock, Peter J B
Smith, Leslie
Phillips, William
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Issue Date: Jul-1991
Date Deposited: 28-Sep-2016
Citation: Hancock PJB, Smith L & Phillips W (1991) A Biologically Supported Error-Correcting Learning Rule. Neural Computation, 3 (2), pp. 201-212.
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).
Rights: Publisher policy allows this work to be made available in this repository. Published as Hancock PJB, Smith LS, Phillips WA (1991) A Biologically Supported Error-Correcting Learning Rule, Neural Computation, Vol. 3, No. 2, Pages 201-212 by MIT Press:

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