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  The roles of online and offline replay in planning

Eldar, E., Lièvre, G., Dayan, P., & Dolan, R. (2020). The roles of online and offline replay in planning. eLife, 9: e56911, pp. 1-23. doi:10.7554/eLife.56911.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-6B7D-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-9564-1
Genre: Journal Article

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Eldar, E, Author
Lièvre, G, Author
Dayan, P1, 2, Author              
Dolan, RJ, Author
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Animals and humans replay neural patterns encoding trajectories through their environment, both whilst they solve decision-making tasks and during rest. Both on-task and off-task replay are believed to contribute to flexible decision making, though how their relative contributions differ remains unclear. We investigated this question by using magnetoencephalography (MEG) to study human subjects while they performed a decision-making task that was designed to reveal the decision algorithms employed. We characterised subjects in terms of how flexibly each adjusted their choices to changes in temporal, spatial and reward structure. The more flexible a subject, the more they replayed trajectories during task performance, and this replay was coupled with re-planning of the encoded trajectories. The less flexible a subject, the more they replayed previously preferred trajectories during rest periods between task epochs. The data suggest that online and offline replay both participate in planning but support distinct decision strategies.

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 Dates: 2020-032020-06
 Publication Status: Published online
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 Identifiers: DOI: 10.7554/eLife.56911
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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 9 Sequence Number: e56911 Start / End Page: 1 - 23 Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X