Evidence map›Paper›PMID 41253149›Full record

ArticleNeuron2026

The orbitofrontal cortex updates beliefs for state inference.

Shannon S Schiereck, Danilo Trinidad Pérez-Rivera, Andrew Mah, Margaret L DeMaegd, David Hocker, Royall McMahon Ward, Cristina Savin, Christine M Constantinople

Abstract read
In one paragraph

Article in Neuron, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Orbitofrontal noradrenaline supports adaptive learning-rate adjustment in probabilistic reversal learning.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Addressing degeneracy in rodent studies of cognition.Current opinion in neurobiology · 2026
    Review
  8. Article
  9. Learning to select computations in recurrent neural circuits.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Shannon S SchiereckCenter for Neural Science, New York University, New York, NY 10003, USA.
Danilo Trinidad Pérez-RiveraCenter for Neural Science, New York University, New York, NY 10003, USA.
Andrew MahCenter for Neural Science, New York University, New York, NY 10003, USA.
Margaret L DeMaegdCenter for Neural Science, New York University, New York, NY 10003, USA.
David HockerCenter for Neural Science, New York University, New York, NY 10003, USA.
Royall McMahon WardCenter for Neural Science, New York University, New York, NY 10003, USA.
Cristina SavinCenter for Neural Science, New York University, New York, NY 10003, USA; Center for Data Science, New York University, New York, NY 10003, USA.
Christine M ConstantinopleCenter for Neural Science, New York University, New York, NY 10003, USA. Electronic address: constantinople@nyu.edu.

Funding

Training Systems and Integrative NeuroscienceT32MH019524 · NIMH · NEW YORK UNIVERSITY · PI KIORPES, LYNNE · 1992 to 2025
$5.2M
Neural circuit mechanisms of arithmetic for economic decision-makingDP2MH126376 · NIMH · NEW YORK UNIVERSITY · PI CONSTANTINOPLE, CHRISTINE M · 2020 to 2020
$2.4M
CRCNS: Inferring reference points from OFC population dynamicsR01MH125571 · NIMH · NEW YORK UNIVERSITY · PI CONSTANTINOPLE, CHRISTINE M · 2020 to 2024
$1.7M
Training program in computational approaches to brain and behaviorT90DA059110 · NIDA · NEW YORK UNIVERSITY · PI Wei Ji Ma · 2023 to 2026
$1.3M
Neural mechanisms of probability estimation during decision-makingR00MH111926 · NIMH · NEW YORK UNIVERSITY · PI CONSTANTINOPLE, CHRISTINE M · 2019 to 2021
$901k
Training a new generation of computational neuroscientists bridging neurobiology and cognitionT90DA043219 · NIDA · NEW YORK UNIVERSITY · PI MA, WEI JI, WANG, XIAO-JING · 2016 to 2020
$615k
Acquiring cognitive maps: how brains learn hidden structureK01MH132043 · NIMH · NEW YORK UNIVERSITY · PI David Hocker · 2023 to 2026
$581k
Neural mechanisms of probability estimation during decision-makingK99MH111926 · NIMH · PRINCETON UNIVERSITY · PI CONSTANTINOPLE, CHRISTINE M · 2016 to 2017
$260k
Orbitofrontal modulation of dopamine during value-based decision-makingF31MH130121 · NIMH · NEW YORK UNIVERSITY · PI MAH, ANDREW · 2022 to 2024
$70k
NIDA NIH HHS T90 DA043219NIDA NIH HHS T90 DA059110NIMH NIH HHS DP2 MH126376NIMH NIH HHS F31 MH130121NIMH NIH HHS K01 MH132043NIMH NIH HHS K99 MH111926NIMH NIH HHS R00 MH111926NIMH NIH HHS R01 MH125571NIMH NIH HHS T32 MH019524
6 · The paper itself

Abstract

While the orbitofrontal cortex (OFC) is implicated in learning and inferring latent states, the precise computation performed by the OFC for state inference is unclear. Here, we show that the rat OFC updates beliefs about states, and this process is decipherable from OFC dynamics in rats performing state inference but not alternative strategies. We trained rats to perform a temporal wagering task with hidden reward states. Well-trained rats used state inference when deciding how long to wait for rewards, and OFC inactivations impaired belief updating about states. Electrophysiology and novel population analysis methods identified latent neural factors reflecting inferred states in rats performing inference, but not other strategies. Neural firing rates and latent population factors showed abrupt changes following trials that were informative of state transitions. These results identify a precise computation performed by OFC and reveal neural signatures of inference.

Indexed as

NeuronsPrefrontal CortexAction PotentialsAnimalsLearningMaleRatsRats, Long-EvansRewardcognitioncognitive strategydecision-makingdynamical systemsorbitofrontal cortexprefrontal cortexreinforcement learningstate inferenceuncertainty

Identifiers

PMID41253149
PMCPMC12638016

What OpenQuestion holds

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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.