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Related Experiment Video

Updated: Feb 26, 2026

Visualizing Visual Adaptation

Visualizing Visual Adaptation

Published on: April 24, 2017

Texture density adaptation can be bidirectional.

Hua-Chun Sun¹, Frederick A A Kingdom², Curtis L Baker³

¹McGill Vision Research, Department of Ophthalmology, McGill University, Montreal, QC, Canadahua-chun.sun@mail.mcgill.cahttps://www.researchgate.net/profile/Hua_Chun_Sun.

Journal of Vision

|July 19, 2017

Summary

This summary is machine-generated.

Texture density adaptation can be bidirectional, not just unidirectional, depending on presentation timing. This finding suggests multiple visual channels process texture density.

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Area of Science:

Visual perception
Computational neuroscience
Human psychophysics

Background:

Previous research assumed texture density adaptation was unidirectional, only reducing perceived density.
This contrasts with simultaneous density contrast (SDC) findings, which show bidirectional effects.
The directionality of density adaptation needed reexamination.

Purpose of the Study:

To reexamine the directionality of texture density adaptation.
To investigate whether texture density adaptation can be bidirectional.
To explore the underlying mechanisms of texture density processing in human vision.

Main Methods:

Used random dot patterns and a two-alternative forced choice task.
Compared perceived density of adapted test patches with unadapted match stimuli.
Varied presentation timing (simultaneous vs. sequential) and adaptor/test densities.

Main Results:

A unidirectional density aftereffect was observed with simultaneous presentation.
Bidirectional density aftereffects were obtained with sequential presentation.
Bidirectionality persisted across a wide range of adaptor and test densities.

Conclusions:

Texture density adaptation can be bidirectional under sequential presentation conditions.
The findings challenge the unidirectional model of density adaptation.
Evidence supports the existence of multiple, specialized channels for texture density processing in human vision.