Evidence map›Paper›PMID 37542763›Full record

ArticleVision research2023

The influence of stereopsis on visual saliency in a proto-object based model of selective attention.

Takeshi Uejima, Elena Mancinelli, Ernst Niebur, Ralph Etienne-Cummings

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Vision research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Takeshi UejimaThe Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, USA. Electronic address: tuejima1@alumni.jh.edu.
Elena MancinelliThe Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Ernst NieburThe Solomon Snyder Department of Neuroscience and the Zanvyl Krieger Mind/Brain Institute, The Johns Hopkins University, Baltimore, MD, USA.
Ralph Etienne-CummingsThe Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Johns Hopkins University · USAllen Institute for Brain Science · US

Funding

CRCNS:Proto-object based perceptual organization in three dimensionsR01EY027544 · NEI · JOHNS HOPKINS UNIVERSITY · PI ETIENNE-CUMMINGS, RALPH, NIEBUR, ERNST · 2016 to 2018
$1.1M
“CRCNS: Computational principles of memory based decision making in Drosophila”R01DC020123 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI NIEBUR, ERNST · 2021 to 2023
$600k
NEI NIH HHS R01 EY027544NIDCD NIH HHS R01 DC020123
6 · The paper itself

Abstract

Some animals including humans use stereoscopic vision which reconstructs spatial information about the environment from the disparity between images captured by eyes in two separate adjacent locations. Like other sensory information, such stereoscopic information is expected to influence attentional selection. We develop a biologically plausible model of binocular vision to study its effect on bottom-up visual attention, i.e., visual saliency. In our model, the scene is organized in terms of proto-objects on which attention acts, rather than on unbound sets of elementary features. We show that taking into account the stereoscopic information improves the performance of the model in the prediction of human eye movements with statistically significant differences.

Indexed as

AttentionDepth PerceptionVision, BinocularEye MovementsHumansVision DisparityDisparityEye fixationProto-objectSaliencyStereopsisVisual attention

Identifiers

PMID37542763
PMCPMC10592191
OpenAlexW4385522560

What OpenQuestion holds

Textmetadata
LicenceTDM
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.