Evidence map›Paper›PMID 40198709›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Multiplexing of cognitive encoding by oculomotor networks leads to incidental gaze shifts.

Matthew C Rosen, David J Freedman

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Multiplexing of cognitive encoding by oculomotor networks leads to incidental gaze shifts.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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.

Matthew C RosenDepartment of Neurobiology, The University of Chicago, Chicago, IL 60637.ORCID 0000-0002-7868-1702
David J FreedmanDepartment of Neurobiology, The University of Chicago, Chicago, IL 60637.ORCID 0000-0002-2485-5981

Funding

Cortical Mechanisms of Visual Category Recognition and LearningR01EY019041 · NEI · UNIVERSITY OF CHICAGO · PI David J Freedman · 2009 to 2026
$8.5M
DOD | USN | ONR | Office of Naval Research Global (ONRG) N000141912001HHS | NIH | National Eye Institute (NEI) R01EY019041NEI NIH HHS R01 EY019041
6 · The paper itself

Abstract

Humans and other animals are adept at learning to perform cognitively demanding behavioral tasks. Neurophysiological recordings in nonhuman primates during such tasks find that the requisite cognitive variables are encoded strongly in core oculomotor brain regions. Here, we assembled a large dataset-11 monkeys performing an abstract visual categorization task, surveyed across more than 1,000 neural recording sessions-to reveal that this produces a robust but uninstructed behavioral "tell," observed in all subjects and experiments: small, cognitively modulated eye movements. We find that these eye movements are causally linked to activity in SC but not LIP, and that they occur following transient alignment of cognitive and saccadic population coding subspaces in SC. This behavioral signature of oculomotor engagement is absent during a similar task that does not require rule-based categorization, suggesting that abstract task behaviors recruit primate oculomotor networks more strongly than previously understood.

Indexed as

CognitionEye MovementsFixation, OcularAnimalsHumansMacaca mulattaMaleSaccadescognitioneye movementsneurophysiologyparietal cortexworking memory

Identifiers

PMID40198709
PMCPMC12012544

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.