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Reactivation in Working Memory: An Attractor Network Model of Free Recall

Lansner, Anders; Marklund, Petter; Sikström, Sverker LU and Nilsson, Lars-Göran (2013) In PLoS ONE 8(8).
Abstract
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Neural network model, free recall, reactivation, serial position curves, adaptation, primacy, receency, working memory, neurobiology, spike-frequency adaptation
in
PLoS ONE
volume
8
issue
8
publisher
Public Library of Science
external identifiers
  • wos:000323880200087
  • scopus:84883389521
ISSN
1932-6203
DOI
10.1371/journal.pone.0073776
language
English
LU publication?
yes
id
bb89d52e-079b-494f-831d-63eb0dbf8bab (old id 3954783)
date added to LUP
2013-08-05 13:53:09
date last changed
2019-04-10 02:00:34
@article{bb89d52e-079b-494f-831d-63eb0dbf8bab,
  abstract     = {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.},
  articleno    = {e73776},
  author       = {Lansner, Anders and Marklund, Petter and Sikström, Sverker and Nilsson, Lars-Göran},
  issn         = {1932-6203},
  keyword      = {Neural network model,free recall,reactivation,serial position curves,adaptation,primacy,receency,working memory,neurobiology,spike-frequency adaptation},
  language     = {eng},
  number       = {8},
  publisher    = {Public Library of Science},
  series       = {PLoS ONE},
  title        = {Reactivation in Working Memory: An Attractor Network Model of Free Recall},
  url          = {http://dx.doi.org/10.1371/journal.pone.0073776},
  volume       = {8},
  year         = {2013},
}