Evidence map›Paper›PMID 40673734›Full record

ArticleJournal of vision2025

Center-surround motion interaction between low and high spatial frequencies under binocular and dichoptic viewing.

Omar Bachtoula, Ignacio Serrano-Pedraza

Abstract readComparative Study
In one paragraph

Article in Journal of vision, 2025. 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
–field-weighted citation impact
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.

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

2 authors.

Omar BachtoulaDepartment of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain.
Ignacio Serrano-PedrazaDepartment of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motion discrimination of a stimulus that contains fine features is impaired when static coarser features are added to it. Previous findings have shown that this cross-scale motion interaction occurs under dichoptic presentation, where both components are spatially overlapped. Here, we used a center-surround spatial configuration where both components do not spatially overlap. We measured the strength of this motion interaction by assessing the cancellation speeds (i.e., the speed needed to cancel out the motion discrimination impairment) for different combinations of spatial frequencies, temporal frequencies, contrasts, durations, and under binocular and dichoptic presentations. The experiments revealed that cancellation speed is bandpass tuned to spatial frequency, increases with temporal frequency up to 12 Hz before slightly decreasing, and intensifies with contrast before stabilizing at higher levels. We found similar patterns of results for both dichoptic and binocular presentations, although the interaction was stronger in the binocular condition. These results confirm that this interaction mechanism can integrate fine and coarse scales when presented to different eyes, even when motion signals do not spatially overlap. Finally, we explain the differences between dichoptic and binocular cancellation speeds using a motion-sensing model that includes a cross-scale interaction stage. The model simulations suggest that an interocular gain control, followed by binocular summation and then by cross-scale interaction, accounts for the differences observed between binocular and dichoptic viewing.

Indexed as

Motion PerceptionSpace PerceptionVision, BinocularContrast SensitivityDiscrimination, PsychologicalHumansPhotic Stimulation

Identifiers

PMID40673734
PMCPMC12282640

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.