Change search
ReferencesLink to record
Permanent link

Direct link
Reactivation in Working Memory: An Attractor Network Model of Free Recall
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.
2013 (English)In: PLoS ONE, ISSN 1932-6203, Vol. 8, no 8, e73776- p.Article in journal (Refereed) Published
Abstract [en]

The dynamic nature of human working memory, the general-purpose system for processing continuous input, while keeping no longer externally available information active in the background, is well captured in immediate free recall of supraspan word-lists. Free recall tasks produce several benchmark memory phenomena, like the U-shaped serial position curve, reflecting enhanced memory for early and late list items. To account for empirical data, including primacy and recency as well as contiguity effects, we propose here a neurobiologically based neural network model that unifies short- and long-term forms of memory and challenges both the standard view of working memory as persistent activity and dual-store accounts of free recall. Rapidly expressed and volatile synaptic plasticity, modulated intrinsic excitability, and spike-frequency adaptation are suggested as key cellular mechanisms underlying working memory encoding, reactivation and recall. Recent findings on the synaptic and molecular mechanisms behind early LTP and on spiking activity during delayed-match-to-sample tasks support this view.

Place, publisher, year, edition, pages
2013. Vol. 8, no 8, e73776- p.
Keyword [en]
Short-Term-Memory, Neural-Network, Prospective Cohort, Temporal Context, Visual-Cortex, Recency, Neurons, Primacy, Organization, Attention
National Category
Bioinformatics (Computational Biology)
URN: urn:nbn:se:kth:diva-129452DOI: 10.1371/journal.pone.0073776ISI: 000323880200087ScopusID: 2-s2.0-84883389521OAI: diva2:652973
Swedish Research Council, 80212103 2009-5329 315-2004-6977

QC 20131002

Available from: 2013-10-02 Created: 2013-09-30 Last updated: 2013-10-02Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Lansner, Anders
By organisation
Computational Biology, CB
In the same journal
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 40 hits
ReferencesLink to record
Permanent link

Direct link