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Related Experiment Video

Updated: Mar 31, 2026

How to Create and Use Binocular Rivalry

How to Create and Use Binocular Rivalry

Published on: November 10, 2010

Deconstructing Interocular Suppression: Attention and Divisive Normalization.

Hsin-Hung Li¹, Marisa Carrasco², David J Heeger²

¹Department of Psychology, New York University, New York, New York, United States of America.

Plos Computational Biology

|October 31, 2015

Summary

This summary is machine-generated.

A new computational model explains interocular suppression, where one eye

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Related Experiment Videos

Last Updated: Mar 31, 2026

How to Create and Use Binocular Rivalry

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Published on: November 10, 2010

The Measurement and Treatment of Suppression in Amblyopia

The Measurement and Treatment of Suppression in Amblyopia

Published on: December 14, 2012

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

Area of Science:

Neuroscience
Computational Vision
Psychophysics

Background:

Interocular suppression renders a monocular target invisible via a competitor stimulus in the other eye.
Despite extensive research, the neural mechanisms of interocular suppression remain unclear.

Purpose of the Study:

To develop and test a computational model explaining the neural basis of interocular suppression.
To investigate the roles of divisive normalization and attentional modulation in interocular suppression.

Main Methods:

Developed a computational model incorporating divisive normalization and attentional modulation.
Conducted psychophysics experiments manipulating competitor size and eye-of-origin.
Compared model predictions against experimental data and an alternative eye-specific attention model.

Main Results:

The model accurately predicted behavioral performance for varying competitor sizes.
Small/medium competitors altered neural response gain, while large competitors induced contrast-gain changes.
The model outperformed an alternative assuming eye-specific attentional modulation.

Conclusions:

Both stimulus-driven attention (location/feature-selective) and divisive normalization contribute to interocular suppression.
The findings elucidate the neural processes underlying visual masking between the eyes.