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Related Experiment Video

Updated: Jan 9, 2026

Visualizing Visual Adaptation

Visualizing Visual Adaptation

Published on: April 24, 2017

Face adaptation: Investigating non-configural contrast alterations.

Nils Kloeckner^1,2,3, Ronja Mueller^4,5,6, Marie Buerling^4,5

¹Department of Psychology, MSH Medical School Hamburg, Am Kaiserkai 1, 20457, Hamburg, Germany. nils.kloeckner@medicalschool-hamburg.de.

Attention, Perception & Psychophysics

|December 2, 2025

Summary

This summary is machine-generated.

Facial contrast adaptation effects are robust over time and do not transfer between inverted and upright faces. This non-configural facial information is crucial for face perception and memory.

Keywords:

Contrast information Face adaptation Face memory Face perception Non-configural face information

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Area of Science:

Cognitive Psychology
Neuroscience
Computer Vision

Background:

Facial representation adaptation is key to face perception and memory.
Existing research lacks understanding of non-configural facial information adaptation.
This study explores adaptation to facial contrast, a non-configural attribute.

Purpose of the Study:

Investigate face aftereffects from facial contrast adaptation.
Extend adaptation research beyond brightness and color saturation.
Determine if adaptation effects transfer from inverted to upright faces.

Main Methods:

Four experiments used celebrity faces manipulated for contrast.
Adaptation-test intervals ranged from 300 ms to 5 min.
Experiment 3 tested transfer from inverted to upright faces; Experiment 4 compared contrast to brightness/saturation effects.

Main Results:

Facial contrast adaptation effects were robust over time (300 ms to 5 min).
Adaptation effects did not transfer from inverted to upright faces.
Effect sizes for contrast were comparable to brightness and saturation.

Conclusions:

Non-configural facial contrast information is integral to face representations.
Facial adaptation involves both bottom-up and top-down processing mechanisms.
Findings contribute to understanding dynamic face perception and memory.