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  Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference

Deserno, L., Moran, R., Michely, J., Lee, Y., Dayan, P., & Dolan, R. (2021). Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference. eLife, 10. doi:10.7554/eLife.67778.

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Deserno, L, Autor
Moran, R, Autor
Michely, J, Autor
Lee, Y, Autor
Dayan, P1, 2, Autor           
Dolan, RJ, Autor
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Zusammenfassung: Dopamine is implicated in representing model-free (MF) reward prediction errors a as well as influencing model-based (MB) credit assignment and choice. Putative cooperative interactions between MB and MF systems include a guidance of MF credit assignment by MB inference. Here, we used a double-blind, placebo-controlled, within-subjects design to test an hypothesis that enhancing dopamine levels boosts the guidance of MF credit assignment by MB inference. In line with this, we found that levodopa enhanced guidance of MF credit assignment by MB inference, without impacting MF and MB influences directly. This drug effect correlated negatively with a dopamine-dependent change in purely MB credit assignment, possibly reflecting a trade-off between these two MB components of behavioural control. Our findings of a dopamine boost in MB inference guidance of MF learning highlights a novel DA influence on MB-MF cooperative interactions.

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 Datum: 2021-12
 Publikationsstatus: Online veröffentlicht
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 Identifikatoren: DOI: 10.7554/eLife.67778
eDoc: e67778
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Titel: eLife
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Cambridge : eLife Sciences Publications
Seiten: 40 Band / Heft: 10 Artikelnummer: - Start- / Endseite: - Identifikator: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X