Evidence map›Paper›PMID 35798979›Full record

ArticleNature neuroscience2022

A gradual temporal shift of dopamine responses mirrors the progression of temporal difference error in machine learning.

Ryunosuke Amo, Sara Matias, Akihiro Yamanaka, Kenji F Tanaka, Naoshige Uchida, Mitsuko Watabe-Uchida

Abstract read
In one paragraph

Article in Nature neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Striatal Dopamine at Learned Sequence Boundaries Sustains Birdsong.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Consensus Paper: Models of Cerebellar Functions.Cerebellum (London, England) · 2026
    Review
  12. Dopamine signatures of excessive and compulsive cocaine and fentanyl use.bioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Trial-by-trial learning of successor representations in human behavior.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. A hardwired neural circuit for temporal difference learning.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. 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

6 authors.

Ryunosuke AmoDepartment of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8644-2296
Sara MatiasDepartment of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7432-6754
Akihiro YamanakaDepartment of Neuroscience II, Research Institute of Environmental Medicine, Nagoya University, Nagoya, Japan.ORCID http://orcid.org/0000-0001-6099-7306
Kenji F TanakaDivision of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0003-2511-0057
Naoshige UchidaDepartment of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5755-9409
Mitsuko Watabe-UchidaDepartment of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA. mitsuko@mcb.harvard.edu.ORCID http://orcid.org/0000-0001-7864-754X

Funding

Towards a Unified Framework for Dopamine Signaling in the StriatumU19NS113201 · NINDS · HARVARD MEDICAL SCHOOL · PI WILBRECHT, LINDA E · 2019 to 2023
$18.7M
Molecular Codes for the Establishment of Functionally Segregated Dopaminergic CircuitsR01MH125162 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI UMEMORI, HISASHI, WATABE-UCHIDA, MITSUKO · 2021 to 2025
$4.1M
The diversity of dopamine neurons: from connectivity and activity to functions.R01NS108740 · NINDS · HARVARD UNIVERSITY · PI UCHIDA, NAOSHIGE · 2018 to 2022
$2.7M
NIMH NIH HHS R01 MH125162NINDS NIH HHS R01 NS108740NINDS NIH HHS U19 NS113201
6 · The paper itself

Abstract

A large body of evidence has indicated that the phasic responses of midbrain dopamine neurons show a remarkable similarity to a type of teaching signal (temporal difference (TD) error) used in machine learning. However, previous studies failed to observe a key prediction of this algorithm: that when an agent associates a cue and a reward that are separated in time, the timing of dopamine signals should gradually move backward in time from the time of the reward to the time of the cue over multiple trials. Here we demonstrate that such a gradual shift occurs both at the level of dopaminergic cellular activity and dopamine release in the ventral striatum in mice. Our results establish a long-sought link between dopaminergic activity and the TD learning algorithm, providing fundamental insights into how the brain associates cues and rewards that are separated in time.

Indexed as

DopamineRewardAnimalsCuesDopaminergic NeuronsMachine LearningMesencephalonMiceDopamine

Identifiers

PMID35798979
PMCPMC9624460

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.