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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

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Related Experiment Video

Updated: Oct 19, 2025

Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex

Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex

Published on: February 8, 2020

Information redundancy across spatial scales modulates early visual cortical processing.

Kirsten Petras¹, Sanne Ten Oever², Sarang S Dalal³

¹Psychological Sciences Research Institute (IPSY), UC Louvain, Belgium; Department of Cognitive Neuroscience, Maastricht University, the Netherlands.

|September 26, 2021

Summary

Redundant low spatial frequency (LSF) information in images helps the brain efficiently process high spatial frequency (HSF) details. This visual system efficiency reduces the dominance of HSF information and gamma-band power in early visual cortex.

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Last Updated: Oct 19, 2025

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Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Area of Science:

Neuroscience
Computational Vision
Visual Perception

Background:

The visual system efficiently processes information by leveraging redundancies across spatial scales.
Low spatial frequency (LSF) contrast guides the processing of high spatial frequency (HSF) details.
Natural images contain cross-spatial frequency information redundancy.

Purpose of the Study:

To investigate how redundant LSF information influences the processing of HSF details in the human visual system.
To explore the neural mechanisms underlying efficient visual processing using magnetoencephalography (MEG).

Main Methods:

Multivariate classification and time-frequency analysis of MEG data.
Presentation of intact and phase-scrambled images of human faces to participants.
Analysis of neural responses in early and higher-level visual areas.

Main Results:

Redundant LSF information in intact images correlated with reduced HSF representational dominance in visual areas.
A decrease in gamma-band power was observed in early visual cortex with available LSF information.
These findings suggest LSF information facilitates efficient integration of HSF details.

Conclusions:

Cross-spatial frequency information redundancy in natural images is a key factor for efficient visual processing.
The visual system utilizes LSF cues to modulate HSF processing, optimizing detail integration.
This study provides insights into the neural basis of efficient visual perception.