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A hierarchy of functional states in working memory

Abstract:
Extensive research has examined how information is maintained in working memory (WM), but it remains unknown how WM is used to guide behaviour. We addressed this question by combining human electrophysiology (50 subjects, male and female) with pattern analyses, cognitive modelling, and a task requiring the prolonged maintenance of two WM items and priority shifts between them. This enabled us to discern neural states coding for memories that were selected to guide the next decision from states coding for concurrently held memories that were maintained for later use; and to examine how these states contribute to WM-based decisions. Selected memories were encoded in a functionally active state. This state was reflected in spontaneous brain activity during the delay period, closely tracked moment-to-moment fluctuations in the quality of evidence integration, and also predicted when memories would interfere with each other. In contrast, concurrently held memories were encoded in a functionally latent state. This state was reflected only in stimulus-evoked brain activity, tracked memory precision at longer time scales, but did not engage with ongoing decision dynamics. Intriguingly, the two functional states were highly flexible, as priority could be dynamically shifted back and forth between memories without degrading their precision. These results delineate a hierarchy of functional states, whereby latent memories supporting general maintenance are transformed into active decision-circuits to guide flexible behaviour.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1523/jneurosci.3104-20.2021

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author
ORCID:
0000-0002-8749-2815
More by this author
Role:
Author
ORCID:
0000-0001-5599-3044



Publisher:
Society for Neuroscience
Journal:
Journal of Neuroscience More from this journal
Volume:
41
Issue:
20
Pages:
4461-4475
Publication date:
2021-04-22
Acceptance date:
2021-02-23
DOI:
EISSN:
1529-2401
ISSN:
0270-6474


Language:
English
Keywords:
Pubs id:
1174799
Local pid:
pubs:1174799
Deposit date:
2021-05-07
ARK identifier:

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