Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Anatomy of the Eyeball

Anatomy of the Eyeball

The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

improvement of peripheral visual discrimination through mental imagery.

iScience·2026

Same author

Tracing aesthetic experience from perception and conception to appraisal using deep convolutional neural networks.

iScience·2026

Same author

From pixels to perception: A benchmark for human-like symmetry detection.

Vision research·2026

Same author

Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks.

Computational brain & behavior·2026

Same author

Variability and predictability as key factors in a new approach to choreographic complexity in dance.

Cognition·2026

Same author

Compression of visual information in redundancy masking follows grouping and segmentation.

Cognition·2026

Same journal

Pseudo-slimy: A novel phenomenon to evoke stickiness perception.

i-Perception·2026

Same journal

Predictive visual uncertainty around moving trajectories influences causality judgments in launching displays.

i-Perception·2026

Same journal

Light and shape in the work of Robert Fones.

i-Perception·2026

Same journal

Sensorimotor numerosity uniquely supports arithmetic development in children.

i-Perception·2026

Same journal

In praise of anaglyphs.

i-Perception·2026

Same journal

Is number a primary perceptual attribute?

i-Perception·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 28, 2026

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

Diagnosing the Periphery: Using the Rey-Osterrieth Complex Figure Drawing Test to Characterize Peripheral Visual

Daniel R Coates¹, Johan Wagemans², Bilge Sayim³

¹Laboratory of Experimental Psychology, KU Leuven, Leuven, Belgium; Institute of Psychology, University of Bern, Bern, Switzerland.

|June 14, 2017

Summary

This summary is machine-generated.

Peripheral vision crowding degrades perception, but its exact nature is unclear. A drawing method using the Rey-Osterrieth Complex Figure revealed new error types and confirmed reduced visual resolution in peripheral vision.

Keywords:

crowding drawing peripheral vision phenomenology

More Related Videos

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Published on: April 14, 2014

Related Experiment Videos

Last Updated: Feb 28, 2026

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

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Published on: April 14, 2014

Area of Science:

Neuroscience
Visual Perception
Cognitive Psychology

Background:

Peripheral vision is limited by crowding, where nearby stimuli impair target identification.
The precise nature of perceptual degradation in peripheral vision remains poorly understood.

Purpose of the Study:

To investigate the qualitative aspects of perceptual degradation in peripheral vision using a drawing task.
To characterize new error patterns associated with peripheral crowding.

Main Methods:

Participants drew the Rey-Osterrieth Complex Figure presented in peripheral vision (6° or 12° eccentricity) and foveally.
Eye tracking ensured stable fixation during peripheral presentation.
Drawings were scored for feature accuracy, spatial distortion, and omissions using standardized systems.

Main Results:

Drawing accuracy (feature scores) decreased with increasing visual eccentricity.
New error classes, including number errors and spatial distortions, were identified in peripheral drawings.
Crowding in peripheral vision leads to reduced resolution and specific perceptual errors.

Conclusions:

Drawing the Rey-Osterrieth Complex Figure is a viable method to study peripheral vision and crowding.
This technique reveals novel insights into the qualitative changes in perception outside the fovea.
Findings highlight the complex impact of crowding on visual processing in the periphery.