Evidence map›Paper›PMID 33393962›Full record

ReviewJournal of vision2021

Flexible contextual modulation of naturalistic texture perception in peripheral vision.

Daniel Herrera-Esposito, Ruben Coen-Cagli, Leonel Gomez-Sena

Open access · goldAbstract readReview
In one paragraph

Review in Journal of vision, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Neuronal and Behavioral Responses to Naturalistic Texture Images in Macaque Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Dissecting (un)crowding.Journal of vision · 2021
    Article
  10. Article
  11. Article
  12. Texture Interpolation for Probing Visual Perception.Advances in neural information processing systems · 2020
    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

3 authors at 2 institutions in 2 countries.

Daniel Herrera-EspositoLaboratorio de Neurociencias, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
Ruben Coen-CagliDepartment of Systems and Computational Biology and Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.
Leonel Gomez-SenaLaboratorio de Neurociencias, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
Universidad de la República · UYAlbert Einstein College of Medicine · US

Funding

CRCNS: Probabilistic models of perceptual grouping/segmentation in natural vision R01EY031166 · NEI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI COEN-CAGLI, RUBEN · 2019 to 2021
$584k
NEI NIH HHS R01 EY031166
6 · The paper itself

Abstract

Peripheral vision comprises most of our visual field, and is essential in guiding visual behavior. Its characteristic capabilities and limitations, which distinguish it from foveal vision, have been explained by the most influential theory of peripheral vision as the product of representing the visual input using summary statistics. Despite its success, this account may provide a limited understanding of peripheral vision, because it neglects processes of perceptual grouping and segmentation. To test this hypothesis, we studied how contextual modulation, namely the modulation of the perception of a stimulus by its surrounds, interacts with segmentation in human peripheral vision. We used naturalistic textures, which are directly related to summary-statistics representations. We show that segmentation cues affect contextual modulation, and that this is not captured by our implementation of the summary-statistics model. We then characterize the effects of different texture statistics on contextual modulation, providing guidance for extending the model, as well as for probing neural mechanisms of peripheral vision.

Indexed as

Pattern Recognition, VisualHumansVisual Fields

Identifiers

PMID33393962
PMCPMC7794279
OpenAlexW3120126667

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.