The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Working-memory capacity protects model-based learning from stress
Open accessAbstract
Significance: The physiological response evoked by short-lived stressful events, referred to as acute stress, impacts human decision-making. Past studies assume that stress causes people to fall back, from more cognitive or deliberative modes of choice, to more primitive or automatic modes of choice because stress impairs peoples’ capacity to process information (working memory). We directly examined how acute stress affects choice in a laboratory decision-making task for which the working memory demands of the two forms of decision-making are well understood, finding that stress impaired use of sophisticated choice strategies that require working memory but did not affect use of simpler, more primitive strategies. Further, this impairment was exacerbated in individuals with smaller working memory capacity, which is related to general intelligence.
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Cites
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Self-citationA framework for mesencephalic dopamine systems based on predictive Hebbian learning
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Wood, W., & Rünger, D. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033417 · Cited by 1,445
The neural bases of emotion regulation
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Ten simple rules for the computational modeling of behavioral data
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Characterizing a psychiatric symptom dimension related to deficits in goal-directed control
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Metadata
- Authors
- Otto, A. R., Raio, C. M., Chiang, A., Phelps, E. A., & Daw, N. D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-12-09
- Volume
- 110
- Issue
- 52
- Pages
- 20941-20946
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2070871741
- Cited by
- 465
- References
- 48
- FWCI
- 15.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
