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  Wagers for work: Decomposing the costs of cognitive effort

Master, S., Curtis, C., & Dayan, P. (2024). Wagers for work: Decomposing the costs of cognitive effort. PLOS Computational Biology, 20(4): e1012060. doi:10.1371/journal.pcbi.1012060.

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Master, SL1, Author                 
Curtis, CE, Author
Dayan, P1, Author                 
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              

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 Abstract: Some aspects of cognition are more taxing than others. Accordingly, many people will avoid cognitively demanding tasks in favor of simpler alternatives. Which components of these tasks are costly, and how much, remains unknown. Here, we use a novel task design in which subjects request wages for completing cognitive tasks and a computational modeling procedure that decomposes their wages into the costs driving them. Using working memory as a test case, our approach revealed that gating new information into memory and protecting against interference are costly. Critically, other factors, like memory load, appeared less costly. Other key factors which may drive effort costs, such as error avoidance, had minimal influence on wage requests. Our approach is sensitive to individual differences, and could be used in psychiatric populations to understand the true underlying nature of apparent cognitive deficits.

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 Dates: 2024-04
 Publication Status: Issued
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 Identifiers: DOI: 10.1371/journal.pcbi.1012060
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Title: PLOS Computational Biology
  Abbreviation : PLOS Comput Biol
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: 28 Volume / Issue: 20 (4) Sequence Number: e1012060 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1