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Network. 2003 Nov;14(4):789-802.

A working memory model based on fast Hebbian learning.

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1
Department of Numerical Analysis and Computer Science, Royal Institute of Technology, 100 44 Stockholm, Sweden. asa@nada.kth.se

Abstract

Recent models of the oculomotor delayed response task have been based on the assumption that working memory is stored as a persistent activity state (a 'bump' state). The delay activity is maintained by a finely tuned synaptic weight matrix producing a line attractor. Here we present an alternative hypothesis, that fast Hebbian synaptic plasticity is the mechanism underlying working memory. A computational model demonstrates a working memory function that is more resistant to distractors and network inhomogeneity compared to previous models, and that is also capable of storing multiple memories.

PMID:
14653503
[Indexed for MEDLINE]
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