Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Depth Perception and Spatial Vision01:15

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.
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Anatomy of the Eyeball01:20

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 layer, the vascular tunic,...
Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...

You might also read

Related Articles

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

Sort by
Same author

fMRI measures of interocular luminance masking reflect rapid binocular plasticity.

Vision research·2025
Same author

Alpha oscillations mediate inhibitory control and perceptual transitions during binocular rivalry.

iScience·2025
Same author

Diffusion tensor imaging of optic neuropathies: a narrative review.

Quantitative imaging in medicine and surgery·2024
Same author

Effects of interocular grouping demands on binocular rivalry.

Journal of vision·2023
Same author

Distinct dorsal and ventral streams for binocular rivalry dominance and suppression revealed by magnetoencephalography.

The European journal of neuroscience·2023
Same author

Interocular Grouping in Perceptual Rivalry Localized with fMRI.

Brain topography·2021
Same journal

On the clinical anatomy of technological cognition.

Cognitive neuroscience·2026
Same journal

Increasing statistical power in functional MRI through permutation and multivariate statistics.

Cognitive neuroscience·2026
Same journal

fMRI research: do we need statistically better studies, larger studies, or no more studies?

Cognitive neuroscience·2026
Same journal

Catching the drift: EEG microstate dynamics resemble time-on-task changes in mind wandering and sustained attention.

Cognitive neuroscience·2026
Same journal

Toward a cognitive neuroscience of technology.

Cognitive neuroscience·2026
Same journal

What behavioral relevance is (not).

Cognitive neuroscience·2026
See all related articles

Related Experiment Video

Updated: May 7, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Long range grouping mechanisms for object perception.

Janine D Mendola1, Jeremy D Fesi

  • 1a McGill Vision Research and Department of Ophthalmology , McGill University , Montreal , QC , Canada.

Cognitive Neuroscience
|October 1, 2013
PubMed
Summary
This summary is machine-generated.

Border ownership explains illusory contour completion, aligning with visual processing research. Further work should explore its relation to object grouping and broader surface interpolation models.

More Related Videos

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

Related Experiment Videos

Last Updated: May 7, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

Area of Science:

  • Visual Perception
  • Computational Neuroscience
  • Cognitive Psychology

Background:

  • Illusory contours, such as Kanizsa shapes, are perceived despite absent physical stimuli.
  • Border ownership is proposed as a mechanism for surface interpolation and modal completion of these contours.
  • Existing research links configural processing with stereoscopic depth perception.

Purpose of the Study:

  • To evaluate the border ownership model for illusory contour completion.
  • To contextualize this mechanism within broader object grouping principles in the visual cortex.
  • To explore the generalizability of the BOWN model for volumetric surface interpolation.

Main Methods:

  • Review and synthesis of existing psychophysical and physiological research.
  • Theoretical analysis of the border ownership hypothesis.
  • Conceptual exploration of model extensions.

Main Results:

  • The border ownership model provides a plausible explanation for modal completion of illusory contours.
  • Compatibility is demonstrated with research on configural interactions and stereoscopic depth.
  • The model's integration with non-depth-related object grouping mechanisms requires further investigation.

Conclusions:

  • Border ownership is a viable mechanism for surface interpolation underlying illusory contours.
  • Future research should integrate this model with other visual grouping principles.
  • Generalizing the BOWN model to complex volumetric interpolations is a promising direction.