Evidence map›Paper›PMID 38164577›Full record

ArticleeNeuro2024

Mammals Achieve Common Neural Coverage of Visual Scenes Using Distinct Sampling Behaviors.

Jason M Samonds, Martin Szinte, Carrie Barr, Anna Montagnini, Guillaume S Masson, Nicholas J Priebe

Open access · goldAbstract read
In one paragraph

Article in eNeuro, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Jason M SamondsCenter for Learning and Memory and the Institute for Neuroscience, The University of Texas at Austin, Austin 78712, Texas samondjm@gmail.com.ORCID 0000-0002-5857-0597
Martin SzinteInstitut de Neurosciences de la Timone (UMR 7289), Centre National de la Recherche Scientifique and Aix-Marseille Université, 13385 Marseille, France.ORCID 0000-0003-2040-4005
Carrie BarrCenter for Learning and Memory and the Institute for Neuroscience, The University of Texas at Austin, Austin 78712, Texas.
Anna MontagniniInstitut de Neurosciences de la Timone (UMR 7289), Centre National de la Recherche Scientifique and Aix-Marseille Université, 13385 Marseille, France.
Guillaume S MassonInstitut de Neurosciences de la Timone (UMR 7289), Centre National de la Recherche Scientifique and Aix-Marseille Université, 13385 Marseille, France.
Nicholas J PriebeCenter for Learning and Memory and the Institute for Neuroscience, The University of Texas at Austin, Austin 78712, Texas.ORCID 0000-0002-0171-0691
Institut de Neurosciences de la Timone · FRThe 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
CRCNS: Integrating sensory and prior information to control behaviorR01NS120562 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI PRIEBE, NICHOLAS J · 2020 to 2023
$1.1M
NEI NIH HHS R01 EY025102NINDS NIH HHS R01 NS120562
6 · The paper itself

Abstract

Most vertebrates use head and eye movements to quickly change gaze orientation and sample different portions of the environment with periods of stable fixation. Visual information must be integrated across fixations to construct a complete perspective of the visual environment. In concert with this sampling strategy, neurons adapt to unchanging input to conserve energy and ensure that only novel information from each fixation is processed. We demonstrate how adaptation recovery times and saccade properties interact and thus shape spatiotemporal tradeoffs observed in the motor and visual systems of mice, cats, marmosets, macaques, and humans. These tradeoffs predict that in order to achieve similar visual coverage over time, animals with smaller receptive field sizes require faster saccade rates. Indeed, we find comparable sampling of the visual environment by neuronal populations across mammals when integrating measurements of saccadic behavior with receptive field sizes and V1 neuronal density. We propose that these mammals share a common statistically driven strategy of maintaining coverage of their visual environment over time calibrated to their respective visual system characteristics.

Indexed as

Eye MovementsSaccadesAnimalsFixation, OcularHumansMacacaMammalsMiceNeuronsVisual Perceptionfixationnatural scenessaccadesvisual cortex

Identifiers

PMID38164577
PMCPMC10860624
OpenAlexW4389944511

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.