Evidence map›Paper›PMID 26581305›Full record

ArticleFrontiers in computational neuroscience2015

Dopamine, reward learning, and active inference.

Thomas H B FitzGerald, Raymond J Dolan, Karl Friston

Abstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
  2. Active inference and speech motor control.Psychonomic bulletin & review · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Policy Complexity Suppresses Dopamine Responses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  7. Article
  8. Article
  9. An Active-Inference Approach to Second-Person Neuroscience.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Review
  10. Article
  11. Policy complexity suppresses dopamine responses.bioRxiv : the preprint server for biology · 2024
    Article
  12. Review
  13. Article
  14. Generalized cue reactivity in dopamine neurons after opioids.bioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Mental control of uncertainty.Cognitive, affective & behavioral neuroscience · 2023
    Article
  19. Article
  20. 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

3 authors.

Thomas H B FitzGeraldThe Wellcome Trust Centre for Neuroimaging, University College London London, UK ; Max Planck - UCL Centre for Computational Psychiatry and Ageing Research London, UK.
Raymond J DolanThe Wellcome Trust Centre for Neuroimaging, University College London London, UK ; Max Planck - UCL Centre for Computational Psychiatry and Ageing Research London, UK.
Karl FristonThe Wellcome Trust Centre for Neuroimaging, University College London London, UK.

Funding

Wellcome Trust 091593Wellcome Trust 098362
6 · The paper itself

Abstract

Temporal difference learning models propose phasic dopamine signaling encodes reward prediction errors that drive learning. This is supported by studies where optogenetic stimulation of dopamine neurons can stand in lieu of actual reward. Nevertheless, a large body of data also shows that dopamine is not necessary for learning, and that dopamine depletion primarily affects task performance. We offer a resolution to this paradox based on an hypothesis that dopamine encodes the precision of beliefs about alternative actions, and thus controls the outcome-sensitivity of behavior. We extend an active inference scheme for solving Markov decision processes to include learning, and show that simulated dopamine dynamics strongly resemble those actually observed during instrumental conditioning. Furthermore, simulated dopamine depletion impairs performance but spares learning, while simulated excitation of dopamine neurons drives reward learning, through aberrant inference about outcome states. Our formal approach provides a novel and parsimonious reconciliation of apparently divergent experimental findings.

Indexed as

active inferencedopamineincentive salienceinstrumental conditioninglearningrewardreward learningvariational inference

Identifiers

PMID26581305
PMCPMC4631836

What OpenQuestion holds

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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.