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

Anders Lansner, Petter Marklund, Sverker Sikström, Lars-Göran Nilsson

Research output: Contribution to journalArticlepeer-review

23 Citations (SciVal)
161 Downloads (Pure)

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.
Original languageEnglish
Article numbere73776
JournalPLoS ONE
Volume8
Issue number8
DOIs
Publication statusPublished - 2013

Subject classification (UKÄ)

  • Psychology (excluding Applied Psychology)

Keywords

  • Neural network model
  • free recall
  • reactivation
  • serial position curves
  • adaptation
  • primacy
  • receency
  • working memory
  • neurobiology
  • spike-frequency adaptation

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