Evidence map›Paper›PMID 27787196›Full record

ArticleeLife2016

Dopamine neurons learn relative chosen value from probabilistic rewards.

Armin Lak, William R Stauffer, Wolfram Schultz

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Fluorescence detection of dopamine signaling to the primate striatum in relation to stimulus-reward associations.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. The Dopamine System in Mediating Alcohol Effects in Humans.Current topics in behavioral neurosciences · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Motor System-Dependent Effects of Amygdala and Ventral Striatum Lesions on Explore-Exploit Behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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.

Armin LakDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1926-5458
William R StaufferDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.
Wolfram SchultzDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-8530-4518

Funding

The Neurobiology of Social Decision-Making: Social Inference and ContextP50MH094258 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI O'DOHERTY, JOHN P · 2012 to 2021
$18.6M
Medical Research Council G1000183NIMH NIH HHS P50 MH094258Wellcome Trust 093875Wellcome Trust WT106101
6 · The paper itself

Abstract

Economic theories posit reward probability as one of the factors defining reward value. Individuals learn the value of cues that predict probabilistic rewards from experienced reward frequencies. Building on the notion that responses of dopamine neurons increase with reward probability and expected value, we asked how dopamine neurons in monkeys acquire this value signal that may represent an economic decision variable. We found in a Pavlovian learning task that reward probability-dependent value signals arose from experienced reward frequencies. We then assessed neuronal response acquisition during choices among probabilistic rewards. Here, dopamine responses became sensitive to the value of both chosen and unchosen options. Both experiments showed also the novelty responses of dopamine neurones that decreased as learning advanced. These results show that dopamine neurons acquire predictive value signals from the frequency of experienced rewards. This flexible and fast signal reflects a specific decision variable and could update neuronal decision mechanisms.

Indexed as

Choice BehaviorLearningRewardAnimalsCuesDopaminergic NeuronsHaplorhinidecision makingdopamineneurosciencenoveltyprobabilityrhesus macaque

Identifiers

PMID27787196
PMCPMC5116238

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.