Evidence map›Paper›PMID 37339973›Full record

ArticleNature communications2023

Detailed characterization of neural selectivity in free viewing primates.

Jacob L Yates, Shanna H Coop, Gabriel H Sarch, Ruei-Jr Wu, Daniel A Butts, Michele Rucci, Jude F Mitchell

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

25 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Visuomotor flexibility is embedded in the topography of frontal cortex.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Active gaze behavior organizes V1 activity in freely-moving marmosets.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Computational origins of shape perception.PLoS computational biology · 2025
    Article
  8. Article
  9. Simulated Cortical Magnification Supports Self-Supervised Object Learning.IEEE International Conference on Development and Learning. IEEE International Conference on Development and Learning · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Active vision in freely moving marmosets using head-mounted eye tracking.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Review
  15. Article
  16. Active vision in freely moving marmosets using head-mounted eye tracking.bioRxiv : the preprint server for biology · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Pre-saccadic Neural Enhancements in Marmoset Area MT.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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

7 authors at 3 institutions in 1 country.

Jacob L YatesBrain and Cognitive Sciences, University of Rochester, Rochester, NY, USA. yates@berkeley.edu.ORCID 0000-0001-8322-5982
Shanna H CoopBrain and Cognitive Sciences, University of Rochester, Rochester, NY, USA.
Gabriel H SarchBrain and Cognitive Sciences, University of Rochester, Rochester, NY, USA.
Ruei-Jr WuCenter for Visual Science, University of Rochester, Rochester, NY, USA.
Daniel A ButtsDepartment of Biology and Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, USA.ORCID 0000-0002-0158-5317
Michele RucciBrain and Cognitive Sciences, University of Rochester, Rochester, NY, USA.ORCID 0000-0002-3066-1964
Jude F MitchellBrain and Cognitive Sciences, University of Rochester, Rochester, NY, USA.ORCID 0000-0003-0197-7545
University of Rochester · USBerkeley College · USUniversity of Maryland, College Park · US

Funding

Function of Fixational Instability During Natural ViewingR01EY018363 · NEI · UNIVERSITY OF ROCHESTER · PI RUCCI, MICHELE · 2007 to 2025
$7.8M
Neural basis of trans-saccadic perceptionR01EY030998 · NEI · UNIVERSITY OF ROCHESTER · PI MITCHELL, JUDE F · 2020 to 2024
$1.9M
Neural mechanisms of active vision in the foveaR00EY032179 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI YATES, JACOB L · 2022 to 2024
$747k
Functional specialization of foveal visual cortexR21EY025403 · NEI · UNIV OF MARYLAND, COLLEGE PARK · PI BUTTS, DANIEL A · 2016 to 2017
$304k
NEI NIH HHS R00 EY032179NEI NIH HHS R01 EY018363NEI NIH HHS R01 EY030998NEI NIH HHS R21 EY025403
6 · The paper itself

Abstract

Fixation constraints in visual tasks are ubiquitous in visual and cognitive neuroscience. Despite its widespread use, fixation requires trained subjects, is limited by the accuracy of fixational eye movements, and ignores the role of eye movements in shaping visual input. To overcome these limitations, we developed a suite of hardware and software tools to study vision during natural behavior in untrained subjects. We measured visual receptive fields and tuning properties from multiple cortical areas of marmoset monkeys who freely viewed full-field noise stimuli. The resulting receptive fields and tuning curves from primary visual cortex (V1) and area MT match reported selectivity from the literature which was measured using conventional approaches. We then combined free viewing with high-resolution eye tracking to make the first detailed 2D spatiotemporal measurements of foveal receptive fields in V1. These findings demonstrate the power of free viewing to characterize neural responses in untrained animals while simultaneously studying the dynamics of natural behavior.

Indexed as

Visual CortexAnimalsEye MovementsHaplorhiniPhotic StimulationVision, OcularVisual Fields

Identifiers

PMID37339973
PMCPMC10282080
OpenAlexW4381434904

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.