A working memory model based on fast Hebbian learning

A. Sandberg*, Jesper Tegner, A. Lansner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)789-802
Number of pages14
JournalNetwork: Computation in Neural Systems
Volume14
Issue number4
DOIs
StatePublished - Jan 1 2003

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)

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