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

Visual System01:26

Visual System

2.3K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
2.3K
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

1.7K
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...
1.7K
Vision01:24

Vision

61.4K
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.
61.4K
Visual Agnosia01:12

Visual Agnosia

1.7K
Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
1.7K
Parallel Processing01:20

Parallel Processing

875
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...
875
Color Vision01:24

Color Vision

1.9K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.9K

You might also read

Related Articles

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

Sort by
Same author

Active consideration in an emotional context: implications for information processing.

Frontiers in psychology·2024
Same author

Memory effects of visual and olfactory landmark information in human wayfinding.

Cognitive processing·2023
Same author

Implicit versus explicit processing of visual, olfactory, and multimodal landmark information in human wayfinding.

Frontiers in psychology·2023
Same author

Cognitive landmark research beyond visual cues using GIScience.

Frontiers in psychology·2023
Same author

Modality Switching in Landmark-Based Wayfinding.

Frontiers in psychology·2022
Same author

Factors underlying visual illusions are illusion-specific but not feature-specific.

Journal of vision·2019
Same journal

Benchmarking spatial discrimination thresholds of two-frame motion defined forms compared to luminance and stereoscopic defined forms.

Perception·2026
Same journal

The effect of face masks on the perception of trustworthiness and competence in individuals with autistic traits.

Perception·2026
Same journal

The importance of external features for categorizing ethnicity: can Koreans identify Korean, Japanese, and Chinese faces?

Perception·2026
Same journal

Interoception, alexithymia, and motor congruency: Psychological drivers of body ownership in virtual reality.

Perception·2026
Same journal

The frustration of a small <i>n</i>.

Perception·2026
Same journal

Why do we have two eyes.

Perception·2026
See all related articles

Related Experiment Video

Updated: Mar 26, 2026

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

1.0K

Visual Illusions Based on Processes: New Classification System Needed.

Kai Hamburger1

  • 1Justus Liebig University Giessen, Germany.

Perception
|January 31, 2016
PubMed
Summary
This summary is machine-generated.

This study proposes a new way to classify visual illusions based on brain processing areas, not just appearance. This approach could improve understanding of the visual system and aid in diagnosing neurological conditions.

Keywords:
Visual illusionscausesclassification systemneural correlatesphenomenaprocessing mechanisms

More Related Videos

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

27.0K
Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

5.9K

Related Experiment Videos

Last Updated: Mar 26, 2026

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

1.0K
Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

27.0K
Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

5.9K

Area of Science:

  • Neuroscience
  • Visual Perception
  • Cognitive Science

Background:

  • Traditional classification of visual illusions relies on phenomenological appearance.
  • This approach limits understanding of underlying neural mechanisms.
  • A new classification framework is needed for deeper insights.

Purpose of the Study:

  • To propose a novel classification system for visual illusions.
  • To base this classification on specific visual processing areas or neural mechanisms.
  • To enhance the diagnostic utility of studying visual illusions.

Main Methods:

  • Conceptual analysis of existing illusion classification.
  • Proposal of a new framework categorizing illusions by neural processing.
  • Linking illusion mechanisms to specific visual cortex regions.

Main Results:

  • A shift from phenomenological to mechanism-based classification is advocated.
  • This new approach offers a more biologically plausible framework.
  • Potential for improved understanding of visual system function.

Conclusions:

  • Classifying visual illusions by processing areas/mechanisms offers significant advantages.
  • This method can advance our knowledge of the visual system.
  • It holds promise for diagnosing visual impairments and neurological damage.