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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3954783
- author
- Lansner, Anders
; Marklund, Petter
; Sikström, Sverker
LU
and Nilsson, Lars-Göran
- organization
- publishing date
- 2013
- 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
- article number
- e73776
- publisher
- Public Library of Science (PLoS)
- external identifiers
-
- wos:000323880200087
- scopus:84883389521
- pmid:24023690
- 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
- 2016-04-01 13:03:22
- date last changed
- 2022-03-29 05:17:40
@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.}},
author = {{Lansner, Anders and Marklund, Petter and Sikström, Sverker and Nilsson, Lars-Göran}},
issn = {{1932-6203}},
keywords = {{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 (PLoS)}},
series = {{PLoS ONE}},
title = {{Reactivation in Working Memory: An Attractor Network Model of Free Recall}},
url = {{https://lup.lub.lu.se/search/files/3134715/4066611.pdf}},
doi = {{10.1371/journal.pone.0073776}},
volume = {{8}},
year = {{2013}},
}