Evidence map›Paper›PMID 41571862›Full record

ArticleScientific reports2026

Horizontal saccade bias results from combination of saliency anisotropies and egocentric biases.

Stephanie M Reeves, Jorge Otero-Millan

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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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

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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.

Stephanie M ReevesHerbert Wertheim School of Optometry & Vision Science, University of California, Berkeley, Berkeley, CA, 94720, USA. stephanie_reeves@berkeley.edu.
Jorge Otero-MillanHerbert Wertheim School of Optometry & Vision Science, University of California, Berkeley, Berkeley, CA, 94720, USA.

Funding

TRAINING PROGRAM IN VISION SCIENCET32EY007043 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI Suzanne MJ FLEISZIG · 1985 to 2026
$12.9M
Perceptual stability during torsional eye movementsR00EY027846 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI OTERO-MILLAN, JORGE · 2020 to 2022
$739k
National Eye Institute Award R00EY027846National Institutes of Health Training Grant 5T32EY007043-43NEI NIH HHS R00 EY027846NEI NIH HHS T32 EY007043
6 · The paper itself

Abstract

Saccadic eye movements shift the fovea between objects of interest to build a visual percept. In humans, saccades are predominantly executed along the cardinal axes, particularly in the horizontal direction. It is unknown how this horizontal saccade bias could arise mechanistically, though previous work suggests contributions from neural, image-based, and ocular motor factors. Here we used two publicly available eye movement datasets to first investigate which image features-spatial frequency, saliency, and structural content-relate to the horizontal saccade bias. Among the three image features, we found that orientation anisotropies in saliency content best predicted the strength of the horizontal saccade bias. Based on this result, we next implemented a saccade target selection model combining allocentric biases aligned with image orientation and egocentric biases aligned with eye or head orientation, independent of image content. As in prior work, this combination successfully replicated human saccade distributions during free viewing of upright images. When applied to tilted images, the model produced effects of image tilt and saccade size that were correlated with prior empirical findings, though with reduced amplitude, suggesting that current saliency models do not fully capture image effects. Taken together, these results suggest that saccade generation reflects both the allocentric biases present in the structure of natural scenes and the egocentric biases present in the saccade generation system itself. An open question is why the egocentric saccade bias exists, but our results suggest that it is adaptive in response to regularities in the world and our typical upright orientation.

Indexed as

SaccadesVisual PerceptionFemaleHumansPhotic StimulationNatural scene statisticsSaccade directionsSaccade targetingSaliency prediction models

Identifiers

PMID41571862
PMCPMC12902056

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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.