Evidence map›Paper›PMID 39788740›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Policy Complexity Suppresses Dopamine Responses.

Samuel J Gershman, Armin Lak

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Samuel J GershmanDepartment of Psychology and Center for Brain Science, Harvard University, Cambridge, Massachusetts 02138 gershman@fas.harvard.edu.ORCID 0000-0002-6546-3298
Armin LakDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-1926-5458

Funding

Towards a Unified Framework for Dopamine Signaling in the StriatumU19NS113201 · NINDS · HARVARD MEDICAL SCHOOL · PI DATTA, SANDEEP R · 2019 to 2023
$18.7M
NINDS NIH HHS U19 NS113201Wellcome Trust
6 · The paper itself

Abstract

Limits on information processing capacity impose limits on task performance. We show that male and female mice achieve performance on a perceptual decision task that is near-optimal given their capacity limits, as measured by policy complexity (the mutual information between states and actions). This behavioral profile could be achieved by reinforcement learning with a penalty on high complexity policies, realized through modulation of dopaminergic learning signals. In support of this hypothesis, we find that policy complexity suppresses midbrain dopamine responses to reward outcomes. Furthermore, neural and behavioral reward sensitivity were positively correlated across sessions. Our results suggest that policy compression shapes basic mechanisms of reinforcement learning in the brain.

Indexed as

Decision MakingDopamineReinforcement, PsychologyAnimalsFemaleMaleMiceMice, Inbred C57BLRewardDopaminedopamineinformation theorypolicy compressionreward prediction error

Identifiers

PMID39788740
PMCPMC11866995

What OpenQuestion holds

Textmetadata
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.