Evidence map›Paper›PMID 32275711›Full record

ArticlePLoS computational biology2020

Near-optimal combination of disparity across a log-polar scaled visual field.

Guido Maiello, Manuela Chessa, Peter J Bex, Fabio Solari

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

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  9. A Model for Neural Network Modeling in Neuroscience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
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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

4 authors at 3 institutions in 3 countries.

Guido MaielloDepartment of Experimental Psychology, Justus Liebig University Giessen, Giessen, Hesse, Germany.ORCID 0000-0001-6625-2583
Manuela ChessaDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.ORCID 0000-0003-3098-5894
Peter J BexDepartment of Psychology, Northeastern University, Boston, Massachusetts, United States of America.ORCID 0000-0001-7561-7695
Fabio SolariDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.ORCID 0000-0002-8111-0409
University of Genoa · ITJustus-Liebig-Universität Gießen · DENortheastern University · US

Funding

Eye Movement Rehabilitation in Low Vision PatientsR01EY029713 · NEI · NORTHEASTERN UNIVERSITY · PI BEX, PETER JOHN · 2019 to 2023
$1.9M
NEI NIH HHS R01 EY029713
6 · The paper itself

Abstract

The human visual system is foveated: we can see fine spatial details in central vision, whereas resolution is poor in our peripheral visual field, and this loss of resolution follows an approximately logarithmic decrease. Additionally, our brain organizes visual input in polar coordinates. Therefore, the image projection occurring between retina and primary visual cortex can be mathematically described by the log-polar transform. Here, we test and model how this space-variant visual processing affects how we process binocular disparity, a key component of human depth perception. We observe that the fovea preferentially processes disparities at fine spatial scales, whereas the visual periphery is tuned for coarse spatial scales, in line with the naturally occurring distributions of depths and disparities in the real-world. We further show that the visual system integrates disparity information across the visual field, in a near-optimal fashion. We develop a foveated, log-polar model that mimics the processing of depth information in primary visual cortex and that can process disparity directly in the cortical domain representation. This model takes real images as input and recreates the observed topography of human disparity sensitivity. Our findings support the notion that our foveated, binocular visual system has been moulded by the statistics of our visual environment.

Indexed as

AdultDepth PerceptionFemaleHumansMaleModels, NeurologicalNeuronsPhotic StimulationVision, BinocularVision DisparityVision, OcularVisual AcuityVisual CortexVisual Fields

Identifiers

PMID32275711
PMCPMC7176150
OpenAlexW2753127483

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.