Journal article
Dissociable influences of reward and punishment on adaptive cognitive control
PLoS computational biology, Vol.17(12), p.e1009737
12/28/2021
DOI: 10.1371/journal.pcbi.1009737
PMID: 34962931
Abstract
To invest effort into any cognitive task, people must be sufficiently motivated. Whereas prior research has focused primarily on how the cognitive control required to complete these tasks is motivated by the potential rewards for success, it is also known that control investment can be equally motivated by the potential negative consequence for failure. Previous theoretical and experimental work has yet to examine how positive and negative incentives differentially influence the manner and intensity with which people allocate control. Here, we develop and test a normative model of control allocation under conditions of varying positive and negative performance incentives. Our model predicts, and our empirical findings confirm, that rewards for success and punishment for failure should differentially influence adjustments to the evidence accumulation rate versus response threshold, respectively. This dissociation further enabled us to infer how motivated a given person was by the consequences of success versus failure.
Details
- Title: Subtitle
- Dissociable influences of reward and punishment on adaptive cognitive control
- Creators
- Xiamin Leng - Brown UniversityDebbie Yee - Brown UniversityHarrison Ritz - Brown UniversityAmitai Shenhav - Brown University
- Resource Type
- Journal article
- Publication Details
- PLoS computational biology, Vol.17(12), p.e1009737
- DOI
- 10.1371/journal.pcbi.1009737
- PMID
- 34962931
- NLM abbreviation
- PLoS Comput Biol
- ISSN
- 1553-7358
- eISSN
- 1553-7358
- Grant note
- S10 OD025181 / NIH HHS T32 MH126388 / NIMH NIH HHS P20 GM103645 / NIGMS NIH HHS T32 MH115895 / NIMH NIH HHS
- Language
- English
- Date published
- 12/28/2021
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9985180929802771
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