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Related Experiment Video

Updated: Sep 16, 2025

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

Transfer of statistical regularity in visual search.

Gabriel Siegel^1,2, Richard A Abrams³

¹Department of Philosophy and Philosophy-Neuroscience-Psychology, Washington University in St. Louis, St. Louis, MO, USA.

Attention, Perception & Psychophysics

|July 9, 2025

Summary

Statistical learning guides attention to likely object locations. This study shows these regularities are context-based, not strictly object-centered, and transfer is reduced with new object shapes.

Keywords:

Visual attention Visual search Visual statistical learning

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Area of Science:

Cognitive Psychology
Neuroscience
Visual Perception

Background:

Humans leverage statistical regularities in visual scenes to guide attention.
Prior research suggested object-centered statistical learning, where attention is biased to specific object parts.

Purpose of the Study:

To investigate whether statistical regularities learned in visual scenes are truly object-centered.
To explore the reference frame in which attentional priorities are represented.

Main Methods:

Participants learned statistical regularities about likely target locations in scenes.
Transfer of learned regularities was tested in new spatial locations and with novel object shapes.

Main Results:

Statistical regularities transferred to new spatial locations, even without explicit objects.
Transfer was significantly reduced when tested on objects with new shapes.

Conclusions:

Attentional priorities are encoded in a configuration-based reference frame, sensitive to scene context.
Findings challenge purely object-centered models of statistical learning and attentional guidance.