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Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning

  • Theories of decision-making and its neural substrates have long assumed the existence of two distinct and competing valuation systems, variously described as goal-directed vs. habitual, or, more recently and based on statistical arguments, as model-free vs. model-based reinforcement-learning. Though both have been shown to control choices, the cognitive abilities associated with these systems are under ongoing investigation. Here we examine the link to cognitive abilities, and find that individual differences in processing speed covary with a shift from model-free to model-based choice control in the presence of above-average working memory function. This suggests shared cognitive and neural processes; provides a bridge between literatures on intelligence and valuation; and may guide the development of process models of different valuation components. Furthermore, it provides a rationale for individual differences in the tendency to deploy valuation systems, which may be important for understanding the manifold neuropsychiatricTheories of decision-making and its neural substrates have long assumed the existence of two distinct and competing valuation systems, variously described as goal-directed vs. habitual, or, more recently and based on statistical arguments, as model-free vs. model-based reinforcement-learning. Though both have been shown to control choices, the cognitive abilities associated with these systems are under ongoing investigation. Here we examine the link to cognitive abilities, and find that individual differences in processing speed covary with a shift from model-free to model-based choice control in the presence of above-average working memory function. This suggests shared cognitive and neural processes; provides a bridge between literatures on intelligence and valuation; and may guide the development of process models of different valuation components. Furthermore, it provides a rationale for individual differences in the tendency to deploy valuation systems, which may be important for understanding the manifold neuropsychiatric diseases associated with malfunctions of valuation.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Daniel SchadORCiDGND, Elisabeth Juenger, Miriam Hannah SeboldORCiDGND, Maria GarbusowORCiDGND, Nadine BernhardtORCiD, Amir-Homayoun Javadi, Ulrich S. Zimmermann, Michael N. SmolkaORCiDGND, Andreas HeinzORCiDGND, Michael Armin RappORCiDGND, Quentin J. M. HuysORCiD
DOI:https://doi.org/10.3389/fpsyg.2014.01450
ISSN:1664-1078
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/25566131
Titel des übergeordneten Werks (Englisch):Frontiers in psychology
Verlag:Frontiers Research Foundation
Verlagsort:Lausanne
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2014
Erscheinungsjahr:2014
Datum der Freischaltung:26.03.2017
Freies Schlagwort / Tag:cognitive abilities; decision-making; fluid intelligence; habitual and goal-directed system; model-based and model-free learning; reward
Band:5
Seitenanzahl:10
Organisationseinheiten:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie
Peer Review:Referiert
Publikationsweg:Open Access
Name der Einrichtung zum Zeitpunkt der Publikation:Humanwissenschaftliche Fakultät / Institut für Psychologie
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