Evidence map›Paper›PMID 41234792›Full record

ArticleRoyal Society open science2025

Temporal dynamics of motion compression: a lagged extrapolation account.

Ryohei Nakayama, Hironobu Sano, Isamu Motoyoshi

Abstract read
In one paragraph

Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ryohei NakayamaGraduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9700-0407
Hironobu SanoDepartment of Life Sciences, The University of Tokyo, Meguro-ku, Tokyo, Japan.
Isamu MotoyoshiDepartment of Life Sciences, The University of Tokyo, Meguro-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The visual system has been suggested to extrapolate an object's position by integrating proximal motion signals to compensate for inevitable neural delays. This anticipatory extrapolation hypothesis is consistent with visual illusions such as the flash-lag effect, where a moving object appears ahead of a physically aligned flash, and the flash-drag effect, where the perceived position of a flash is shifted in the direction of its surrounding motion. In contrast to such motion-induced position shifts, we demonstrate an illusion in which a moving object appears to be standing still at a shifted position when surrounded by motion in the same direction. For this dissociation between perceived motion and position, we propose a computational model that incorporates the biphasic centre-surround antagonistic responses of motion detectors. In our model, positional signals derive from the temporal integration of motion-detector responses but remain unperceived during early suppression, reaching conscious perception only afterwards. The illusion was strongest when the object and surrounding motion began simultaneously, and weakened with increasing asynchrony or longer duration. The model predicts these results and accounts for several motion- and saccade-induced mislocalization phenomena, offering a unified account of dynamic position perception shaped by local and global motion signals and perceptual lag.

Indexed as

computational modellingpsychophysicsvisual illusion

Identifiers

PMID41234792
PMCPMC12606157

What OpenQuestion holds

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LicenceCC BY
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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.