Evidence map›Paper›PMID 40468072›Full record

ArticleNature2025

Multi-timescale reinforcement learning in the brain.

Paul Masset, Pablo Tano, HyungGoo R Kim, Athar N Malik, Alexandre Pouget, Naoshige Uchida

Abstract read
In one paragraph

Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Building Goal-Directed Cognitive Graphs.bioRxiv : the preprint server for biology · 2026
    Article
  10. Time-Local Transformer.Computational brain & behavior · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. A hardwired neural circuit for temporal difference learning.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. 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
  17. Article
  18. Article
  19. Article
  20. Mesolimbic dopamine ramps reflect environmental timescales.bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Paul Masset *Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA. paul.masset@mcgill.ca.ORCID 0000-0003-2001-7515
Pablo Tano *Department of Basic Neuroscience, Université de Genève, Geneva, Switzerland.
HyungGoo R KimDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-9106-4960
Athar N MalikDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
Alexandre PougetDepartment of Basic Neuroscience, Université de Genève, Geneva, Switzerland. alexandre.pouget@unige.ch.ORCID 0000-0003-3054-6365
Naoshige UchidaDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA. uchida@mcb.harvard.edu.ORCID 0000-0002-5755-9409

Funding

Towards a Unified Framework for Dopamine Signaling in the StriatumU19NS113201 · NINDS · HARVARD MEDICAL SCHOOL · PI WILBRECHT, LINDA E · 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
Distributional Reinforcement Learning in the BrainR01NS116753 · NINDS · HARVARD UNIVERSITY · PI DRUGOWITSCH, JAN, UCHIDA, NAOSHIGE · 2020 to 2024
$2.9M
MOLECULAR BASIS OF TYROSINE HYDROXYLASE REGULATIONR01NS022675 · NINDS · TUFTS UNIVERSITY BOSTON · PI CHIKARAISHI, DONA M · 1985 to 2003
$1.6M
NIDCD NIH HHS R01 DC017311NINDS NIH HHS R01 NS022675NINDS NIH HHS R01 NS116753NINDS NIH HHS U19 NS113201
6 · The paper itself

Abstract

To thrive in complex environments, animals and artificial agents must learn to act adaptively to maximize fitness and rewards. Such adaptive behaviour can be learned through reinforcement learning

Indexed as

BrainLearningReinforcement, PsychologyAlgorithmsAnimalsCuesDopamineDopaminergic NeuronsFemaleMaleMiceMice, Inbred C57BLModels, NeurologicalRewardTime FactorsDopamine

Identifiers

PMID40468072
PMCPMC13254605

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.