Evidence map›Paper›PMID 37236785›Full record

ArticleeNeuro2023

Ocular following Eye Movements in Marmosets Follow Complex Motion Trajectories.

Jagruti J Pattadkal, Carrie Barr, Nicholas J Priebe

Open access · goldAbstract read
In one paragraph

Article in eNeuro, 2023. 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
0.7field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Natural motion statistics unify direction computations.bioRxiv : the preprint server for biology · 2026
    Article
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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

3 authors at 1 institution in 1 country.

Jagruti J PattadkalCenter for Learning and Memory, The University of Texas at Austin, Austin, Texas 78712.ORCID 0000-0001-7420-459X
Carrie BarrCenter for Learning and Memory, The University of Texas at Austin, Austin, Texas 78712.
Nicholas J PriebeCenter for Learning and Memory, The University of Texas at Austin, Austin, Texas 78712 nicholas@mail.utexas.edu jagrutipattadkal@gmail.com.ORCID 0000-0002-0171-0691
The University of Texas at Austin · US

Funding

Excitation and inhibition in visual processingR01EY025102 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI PRIEBE, NICHOLAS J · 2014 to 2023
$3.1M
NEI NIH HHS R01 EY025102
6 · The paper itself

Abstract

Ocular following eye movements help stabilize images on the retina and offer a window to study motion interpretation by visual circuits. We use these ocular following eye movements to study motion integration behavior in the marmosets. We characterize ocular following responses in the marmosets using different moving stimuli such as dot patterns, gratings, and plaids. Marmosets track motion along different directions and exhibit spatial frequency and speed sensitivity, which closely matches the sensitivity reported in neurons from their motion-selective area MT. Marmosets are also able to track the integrated motion of plaids, with tracking direction consistent with an intersection of constraints model of motion integration. Marmoset ocular following responses are similar to responses in macaques and humans with certain species-specific differences in peak sensitivities. Such motion-sensitive eye movement behavior in combination with direct access to cortical circuitry makes the marmoset model well suited to study the neural basis of motion integration.

Indexed as

Eye MovementsMotion PerceptionAnimalsCallithrixHumansMacacaMotionPhotic StimulationVision, Ocularintersection of constraintsmarmosetmotionocular followingplaids

Identifiers

PMID37236785
PMCPMC10270315
OpenAlexW4378472786

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.