Evidence map›Paper›PMID 37932464›Full record

ArticleNature neuroscience2023

Behavioral read-out from population value signals in primate orbitofrontal cortex.

Vincent B McGinty, Shira M Lupkin

Abstract read
In one paragraph

Article in Nature neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Learning to select computations in recurrent neural circuits.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Neuronal Activity in Orbitofrontal Cortex during Trinary Choices under Risk.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Orbitofrontal High-Gamma Reflects Spike-Dissociable Value and Decision Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  11. Article
  12. Rational inattention in neural coding for economic choice.bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

2 authors.

Vincent B McGintyCenter for Molecular and Behavioral Neuroscience, Rutgers University-Newark, Newark, NJ, USA. vince.mcginty@rutgers.edu.ORCID 0000-0003-0883-4301
Shira M LupkinCenter for Molecular and Behavioral Neuroscience, Rutgers University-Newark, Newark, NJ, USA.

Funding

Cellular Mechanisms of Gaze-Biased Choice PreferenceK01DA036659 · NIDA · STANFORD UNIVERSITY · PI MCGINTY, VINCENT B · 2014 to 2018
$831k
NIDA NIH HHS K01 DA036659
6 · The paper itself

Abstract

The primate orbitofrontal cortex (OFC) has long been recognized for its role in value-based decisions; however, the exact mechanism linking value representations in the OFC to decision outcomes has remained elusive. Here, to address this question, we show, in non-human primates, that trial-wise variability in choices can be explained by variability in value signals decoded from many simultaneously recorded OFC neurons. Mechanistically, this relationship is consistent with the projection of activity within a low-dimensional value-encoding subspace onto a potentially higher-dimensional, behaviorally potent output subspace. Identifying this neural-behavioral link answers longstanding questions about the role of the OFC in economic decision-making and suggests population-level read-out mechanisms for the OFC similar to those recently identified in sensory and motor cortex.

Indexed as

Motor CortexPrefrontal CortexAnimalsChoice BehaviorMacaca mulattaNeuronsReward

Identifiers

PMID37932464
PMCPMC11006434

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Registered trials

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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.