|Appears in Collections:||Psychology Journal Articles|
|Peer Review Status:||Refereed|
|Title:||A Biologically Supported Error-Correcting Learning Rule|
|Authors:||Hancock, Peter J B|
|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: http://www.mitpressjournals.org/doi/abs/10.1162/neco.19188.8.131.52#.V-vDFYgrJpg|
Computing Science - CSM Dept
|Hancock-etal-NeuralComputation-1991.pdf||599.45 kB||Adobe PDF||View/Open|
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.