Evidence map›Paper›PMID 30464063›Full record

ArticleProceedings. Biological sciences2018

Rethinking dopamine as generalized prediction error.

Matthew P H Gardner, Geoffrey Schoenbaum, Samuel J Gershman

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 1 pooled it
–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

105 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prediction in Autism Spectrum Disorder: A Systematic Review of Empirical Evidence.Autism research : official journal of the International Society for Autism Research · 2021
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Dopamine Responses in Medial Frontal Cortex Are More Consistent with a Generalized Arousal Signal Than Signed Reward Prediction Errors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  8. Article
  9. Article
  10. A brief history of dopamine prediction errors.Frontiers in computational neuroscience · 2026
    Review
  11. Article
  12. Review
  13. Review
  14. Phasic dopamine encodes persistent attraction to reward cues.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Trial-by-trial learning of successor representations in human behavior.bioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Joint models reveal human subcortical underpinnings of choice and learning behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. The interoceptive origin of reinforcement learning.Trends in cognitive sciences · 2025
    Review

45 more citing papers are in PubMed but not listed here.

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.

Matthew P H GardnerIntramural Research Program of the National Institute on Drug Abuse, NIH, Bethesda, MD, USA.
Geoffrey SchoenbaumIntramural Research Program of the National Institute on Drug Abuse, NIH, Bethesda, MD, USA.
Samuel J GershmanDepartment of Psychology and Center for Brain Science, Harvard University, Cambridge, MA, USA gershman@fas.harvard.edu.ORCID 0000-0002-6546-3298

Funding

Associative learning, decision-making, and addictionZIADA000587 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI SCHOENBAUM, GEOFFREY · 2012 to 2025
$47.7M
CRCNS: Representational foundations of adaptive behavior in natural and artificial R01MH109177 · NIMH · PRINCETON UNIVERSITY · PI DAW, NATHANIEL DOUGLASS · 2015 to 2017
$1.2M
Intramural NIH HHS ZIA DA000587NIDA NIH HHS ZIA DA000587NIMH NIH HHS R01 MH109177
6 · The paper itself

Abstract

Midbrain dopamine neurons are commonly thought to report a reward prediction error (RPE), as hypothesized by reinforcement learning (RL) theory. While this theory has been highly successful, several lines of evidence suggest that dopamine activity also encodes sensory prediction errors unrelated to reward. Here, we develop a new theory of dopamine function that embraces a broader conceptualization of prediction errors. By signalling errors in both sensory and reward predictions, dopamine supports a form of RL that lies between model-based and model-free algorithms. This account remains consistent with current canon regarding the correspondence between dopamine transients and RPEs, while also accounting for new data suggesting a role for these signals in phenomena such as sensory preconditioning and identity unblocking, which ostensibly draw upon knowledge beyond reward predictions.

Indexed as

AlgorithmsAnimalsDopamineDopaminergic NeuronsLearningSignal TransductionDopaminereinforcement learningsuccessor representationtemporal difference learning

Identifiers

PMID30464063
PMCPMC6253385

What OpenQuestion holds

Textmetadata
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.