Evidence map›Paper›PMID 26322583›Full record

ArticleNature2015

Arithmetic and local circuitry underlying dopamine prediction errors.

Neir Eshel, Michael Bukwich, Vinod Rao, Vivian Hemmelder, Ju Tian, Naoshige Uchida

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nature, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 214 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed, 1 pooled it
21.0field-weighted citation impact, top 1% of its field
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

214 citing papers in PubMed, 1 synthesis or guideline pooled it, 421 citations in OpenAlex.

  1. Pooled it
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  4. Review
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  7. Disinhibition of ventral tegmental area during initial punishment learning causes enduring punishment insensitivity.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  8. Article
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  16. A brief history of dopamine prediction errors.Frontiers in computational neuroscience · 2026
    Review
  17. Review
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Neir EshelCenter for Brain Science, Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Michael BukwichCenter for Brain Science, Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Vinod RaoCenter for Brain Science, Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Vivian HemmelderCenter for Brain Science, Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Ju TianCenter for Brain Science, Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Naoshige UchidaCenter for Brain Science, Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Harvard University · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Fostering Research Mentorship & Training during Psychiatry Residency SupplementR25MH094612 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI FAVA, MAURIZIO, GREENFIELD, SHELLY F. · 2011 to 2022
$2.3M
Neural circuits that regulate dopamine neuron activityR01MH095953 · NIMH · HARVARD UNIVERSITY · PI UCHIDA, NAOSHIGE · 2012 to 2016
$2.1M
Experimental examinations of the mechanisms that generate the responses of midbraR01MH101207 · NIMH · HARVARD UNIVERSITY · PI UCHIDA, NAOSHIGE · 2013 to 2017
$2.1M
Neural circuits for computing dopamine prediction errorsF30MH100729 · NIMH · HARVARD MEDICAL SCHOOL · PI ESHEL, NEIR · 2013 to 2014
$82k
NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32GM007753NIMH NIH HHS F30 MH100729NIMH NIH HHS F30MH100729NIMH NIH HHS R01 MH095953NIMH NIH HHS R01MH095953NIMH NIH HHS R01 MH101207NIMH NIH HHS R01MH101207NIMH NIH HHS R25 MH094612
6 · The paper itself

Abstract

Dopamine neurons are thought to facilitate learning by comparing actual and expected reward. Despite two decades of investigation, little is known about how this comparison is made. To determine how dopamine neurons calculate prediction error, we combined optogenetic manipulations with extracellular recordings in the ventral tegmental area while mice engaged in classical conditioning. Here we demonstrate, by manipulating the temporal expectation of reward, that dopamine neurons perform subtraction, a computation that is ideal for reinforcement learning but rarely observed in the brain. Furthermore, selectively exciting and inhibiting neighbouring GABA (γ-aminobutyric acid) neurons in the ventral tegmental area reveals that these neurons are a source of subtraction: they inhibit dopamine neurons when reward is expected, causally contributing to prediction-error calculations. Finally, bilaterally stimulating ventral tegmental area GABA neurons dramatically reduces anticipatory licking to conditioned odours, consistent with an important role for these neurons in reinforcement learning. Together, our results uncover the arithmetic and local circuitry underlying dopamine prediction errors.

Indexed as

Models, NeurologicalAnimalsConditioning, ClassicalDopamineDopaminergic NeuronsGABAergic Neuronsgamma-Aminobutyric AcidMaleMiceMice, Inbred C57BLNeural PathwaysOdorantsOptogeneticsReinforcement, PsychologyRewardTime FactorsDopaminegamma-Aminobutyric Acid

Identifiers

PMID26322583
PMCPMC4567485
OpenAlexW2152681028

What OpenQuestion holds

Textmetadata
LicenceTDM
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.