liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A working memory model based on fast Hebbian learning
Dept. of Numer. Anal. and Comp. Sci., Royal Institute of Technology, 100 44 Stockholm, Sweden.
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology, Computational Biology .
Dept. of Numer. Anal. and Comp. Sci., Royal Institute of Technology, 100 44 Stockholm, Sweden.
2003 (English)In: Network, ISSN 0954-898X, E-ISSN 1361-6536, Vol. 14, no 4, 789-802 p.Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
2003. Vol. 14, no 4, 789-802 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-46452DOI: 10.1088/0954-898X/14/4/309OAI: oai:DiVA.org:liu-46452DiVA: diva2:267348
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2017-12-13

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Tegnér, Jesper

Search in DiVA

By author/editor
Tegnér, Jesper
By organisation
The Institute of TechnologyComputational Biology
In the same journal
Network
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 44 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf