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A working memory model based on fast Hebbian learning
KTH, Tidigare Institutioner                               , Numerisk analys och datalogi, NADA.ORCID-id: 0000-0002-2358-7815
2003 (engelsk)Inngår i: Network, ISSN 0954-898X, E-ISSN 1361-6536, Vol. 14, nr 4, s. 789-802Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
2003. Vol. 14, nr 4, s. 789-802
Emneord [en]
long-term potentiation, prefrontal cortex, associative memory, attractor network, recurrent network, spiking neurons, visual-cortex, dynamics, mechanisms, synapses
Identifikatorer
URN: urn:nbn:se:kth:diva-22988ISI: 000186809100009OAI: oai:DiVA.org:kth-22988DiVA, id: diva2:341686
Merknad
QC 20100525Tilgjengelig fra: 2010-08-10 Laget: 2010-08-10 Sist oppdatert: 2017-12-12bibliografisk kontrollert

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