Evidence map›Paper›PMID 34882092›Full record

ArticleeLife2021

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

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Building Goal-Directed Cognitive Graphs.bioRxiv : the preprint server for biology · 2026
    Article
  2. Human Riboviruses: A Comprehensive Study.Journal of molecular evolution · 2025
    Review
  3. Article
  4. A neural mechanism for learning from delayed postingestive feedback.bioRxiv : the preprint server for biology · 2024
    Article
  5. Cortical Grey Matter Mediates Increases in Model-Based Control and Learning from Positive Feedback from Adolescence to Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lorenz Deserno *Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.ORCID 0000-0001-7392-5280
Rani Moran *Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.ORCID 0000-0002-7641-2402
Jochen MichelyMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.ORCID 0000-0003-3072-2330
Ying LeeMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.ORCID 0000-0001-9491-4919
Peter DayanMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.ORCID 0000-0003-3476-1839
Raymond J DolanMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.ORCID 0000-0001-9356-761X

Funding

Wellcome TrustWellcome Trust 098362/Z/12/Z
6 · The paper itself

Abstract

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 highlight a novel DA influence on MB-MF cooperative interactions.

Indexed as

LearningReinforcement, PsychologyRewardAdultDopamineDouble-Blind MethodFemaleHumansMaleModels, PsychologicalYoung AdultDopaminedopaminehumanmodel-free/model-basedneurosciencereinforcement learning

Identifiers

PMID34882092
PMCPMC8758138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.