Search: onr:"swepub:oai:DiVA.org:kth-22988" >
A working memory mo...
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Sandberg, A.Dept. of Numer. Anal. and Comp. Sci., Royal Institute of Technology, 100 44 Stockholm, Sweden
(author)
A working memory model based on fast Hebbian learning
- Article/chapterEnglish2003
Publisher, publication year, extent ...
Numbers
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LIBRIS-ID:oai:DiVA.org:kth-22988
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-22988URI
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https://doi.org/10.1088/0954-898X/14/4/309DOI
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http://kipublications.ki.se/Default.aspx?queryparsed=id:19743898URI
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-46452URI
Supplementary language notes
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Language:English
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Summary in:English
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Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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QC 20100525
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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.
Subject headings and genre
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long-term potentiation
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prefrontal cortex
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associative memory
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attractor network
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recurrent network
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spiking neurons
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visual-cortex
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dynamics
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mechanisms
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synapses
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TECHNOLOGY
Added entries (persons, corporate bodies, meetings, titles ...)
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Tegnér, JesperLinköpings universitet,Karolinska Institutet,Tekniska högskolan,Biologiska Beräkningar(Swepub:liu)jeste12
(author)
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Lansner, AndersKTH,Numerisk analys och datalogi, NADA,Dept. of Numer. Anal. and Comp. Sci., Royal Institute of Technology, 100 44 Stockholm, Sweden(Swepub:kth)u12s8cr8
(author)
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Karolinska InstitutetDept. of Numer. Anal. and Comp. Sci., Royal Institute of Technology, 100 44 Stockholm, Sweden
(creator_code:org_t)
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In:Network14:4, s. 789-8020954-898X1361-6536
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