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

View ORCID ProfileLorenz Deserno, Rani Moran, Jochen Michely, View ORCID ProfileYing Lee, Peter Dayan, Raymond J. Dolan
doi: https://doi.org/10.1101/2021.01.15.426639
Lorenz Deserno
1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom
2Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom
3Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Würzburg, Würzburg, Germany
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  • ORCID record for Lorenz Deserno
  • For correspondence: deserno_l@ukw.de rani.moran@gmail.com
Rani Moran
1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom
2Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom
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  • For correspondence: deserno_l@ukw.de rani.moran@gmail.com
Jochen Michely
1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom
2Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom
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Ying Lee
1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom
2Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom
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Peter Dayan
1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom
4Max Planck Institute for Biological Cybernetics, Max Planck Ring 8, 72076 Tübingen, Germany
5University of Tübingen, 72074 Tübingen, Germany
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Raymond J. Dolan
1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom
2Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom
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Abstract

Dopamine is implicated in signalling model-free (MF) reward prediction errors and various aspects of model-based (MB) credit assignment and choice. Recently, we showed that cooperative interactions between MB and MF systems include guidance of MF credit assignment by MB inference. Here, we used a double-blind, placebo-controlled, within-subjects design to test the hypothesis that enhancing dopamine levels, using levodopa, boosts the guidance of MF credit assignment by MB inference. We found that levodopa enhanced retrospective guidance of MF credit assignment by MB inference, without impacting on MF and MB influences per se. This drug effect positively correlated with working memory, but only in a context where reward needed to be recalled for MF credit assignment. The dopaminergic enhancement in MB-MF interactions correlated negatively with a dopamine-dependent change in MB credit assignment, possibly reflecting a potential trade-off between these two components of behavioural control. Thus, our findings demonstrate that dopamine boosts MB inference during guidance of MF learning, supported in part by working memory, but trading-off with a dopaminergic enhancement of MB credit assignment. The findings highlight a novel role for a DA influence on MB-MF interactions.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 30, 2021.
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Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference
Lorenz Deserno, Rani Moran, Jochen Michely, Ying Lee, Peter Dayan, Raymond J. Dolan
bioRxiv 2021.01.15.426639; doi: https://doi.org/10.1101/2021.01.15.426639
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Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference
Lorenz Deserno, Rani Moran, Jochen Michely, Ying Lee, Peter Dayan, Raymond J. Dolan
bioRxiv 2021.01.15.426639; doi: https://doi.org/10.1101/2021.01.15.426639

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