Evidence map›Paper›PMID 40102680›Full record

ArticleNature neuroscience2025

Prospective contingency explains behavior and dopamine signals during associative learning.

Lechen Qian, Mark Burrell, Jay A Hennig, Sara Matias, Venkatesh N Murthy, Samuel J Gershman, Naoshige Uchida

Abstract read
In one paragraph

Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mesocorticostriatal Reinforcement Learning of State Representation and Value with Implications for the Mechanisms of Schizophrenia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Article
  6. Memory erasure by dopamine-gated retrospective learning.bioRxiv : the preprint server for biology · 2026
    Article
  7. Dopamine signatures of excessive and compulsive cocaine and fentanyl use.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. A hardwired neural circuit for temporal difference learning.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Striatal Gradient in Value-Decay Explains Regional Differences in Dopamine Patterns and Reinforcement Learning Computations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  13. Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Lechen Qian *Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6767-9773
Mark Burrell *Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3437-197X
Jay A HennigCenter for Brain Science, Harvard University, Cambridge, MA, USA.
Sara MatiasDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7432-6754
Venkatesh N MurthyDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2443-4252
Samuel J GershmanCenter for Brain Science, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-6546-3298
Naoshige UchidaDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA. uchida@mcb.harvard.edu.ORCID http://orcid.org/0000-0002-5755-9409

Funding

Towards a Unified Framework for Dopamine Signaling in the StriatumU19NS113201 · NINDS · HARVARD MEDICAL SCHOOL · PI SABATINI, BERNARDO L · 2019 to 2023
$18.7M
Stability and flexibility of neural representations in the ventral striatumR01DC017311 · NIDCD · HARVARD UNIVERSITY · PI VENKATESH N MURTHY, Naoshige Uchida · 2019 to 2026
$4.5M
Brain and Behavior Research Foundation (Brain & Behavior Research Foundation) NARSAD Young Investigator no. 30035Human Frontier Science Program (HFSP) LT000801/2018NIDCD NIH HHS R01 DC017311NINDS NIH HHS U19 NS113201Simons Foundation 8470652-01United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-20-1-0413U.S. Department of Health & Human Services | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) R01DC017311
6 · The paper itself

Abstract

Associative learning depends on contingency, the degree to which a stimulus predicts an outcome. Despite its importance, the neural mechanisms linking contingency to behavior remain elusive. In the present study, we examined the dopamine activity in the ventral striatum-a signal implicated in associative learning-in a Pavlovian contingency degradation task in mice. We show that both anticipatory licking and dopamine responses to a conditioned stimulus decreased when additional rewards were delivered uncued, but remained unchanged if additional rewards were cued. These results conflict with contingency-based accounts using a traditional definition of contingency or a new causal learning model (ANCCR), but can be explained by temporal difference (TD) learning models equipped with an appropriate intertrial interval state representation. Recurrent neural networks trained within a TD framework develop state representations akin to our best 'handcrafted' model. Our findings suggest that the TD error can be a measure that describes both contingency and dopaminergic activity.

Indexed as

Association LearningBehavior, AnimalConditioning, ClassicalDopamineVentral StriatumAnimalsCuesMaleMiceMice, Inbred C57BLRewardDopamine

Identifiers

PMID40102680
PMCPMC12148708

What OpenQuestion holds

Textmetadata
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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.