Control over sampling boosts numerical evidence processing in human decisions from experience.
active sampling
decision-making
electroencephalography
information search
number processing
Journal
Cerebral cortex (New York, N.Y. : 1991)
ISSN: 1460-2199
Titre abrégé: Cereb Cortex
Pays: United States
ID NLM: 9110718
Informations de publication
Date de publication:
15 12 2022
15 12 2022
Historique:
received:
13
09
2021
revised:
30
01
2022
accepted:
31
01
2022
pubmed:
11
3
2022
medline:
21
12
2022
entrez:
10
3
2022
Statut:
ppublish
Résumé
When acquiring information about choice alternatives, decision makers may have varying levels of control over which and how much information they sample before making a choice. How does control over information acquisition affect the quality of sample-based decisions? Here, combining variants of a numerical sampling task with neural recordings, we show that control over when to stop sampling can enhance (i) behavioral choice accuracy, (ii) the build-up of parietal decision signals, and (iii) the encoding of numerical sample information in multivariate electroencephalogram patterns. None of these effects were observed when participants could only control which alternatives to sample, but not when to stop sampling. Furthermore, levels of control had no effect on early sensory signals or on the extent to which sample information leaked from memory. The results indicate that freedom to stop sampling can amplify decisional evidence processing from the outset of information acquisition and lead to more accurate choices.
Identifiants
pubmed: 35266973
pii: 6546260
doi: 10.1093/cercor/bhac062
pmc: PMC9758588
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
207-221Informations de copyright
© The Author(s) 2022. Published by Oxford University Press.
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