Biologically inspired learning in a layered neural net

J. Bedaux and W.A. van Leeuwen

Physica A: Statistical Mechanics and its Applications, 2004, vol. 335, issue 1, 279-299

Abstract: A feed-forward neural net with adaptable synaptic weights and fixed, zero or non-zero threshold potentials is studied, in the presence of a global feedback signal that can only have two values, depending on whether the output of the network in reaction to its input is right or wrong.

Keywords: Neural network; Local learning; Hebbian learning; Activity control; Dilution; Threshold potential (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:335:y:2004:i:1:p:279-299

DOI: 10.1016/j.physa.2003.12.008

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