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Related Concept Videos

Color Vision01:24

Color Vision

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.
Perceptual Constancy01:12

Perceptual Constancy

Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
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.
Visual Agnosia01:12

Visual Agnosia

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 end"...
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.
Visual System01:26

Visual System

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...

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Related Experiment Video

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Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

Dynamic visual noise affects visual short-term memory for surface color, but not spatial location.

Kevin Dent1

  • 1Behavioural Brain Sciences Centre, School of Psychology, University of Birmingham, Edgbaston, UK. k.dent@bham.ac.uk

Experimental Psychology
|February 25, 2010
PubMed
Summary

Dynamic visual noise (DVN) impaired color memory but not spatial location memory in participants. This suggests DVN may selectively interfere with certain types of working memory storage.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human Memory

Background:

  • Working memory is crucial for cognitive tasks.
  • Understanding factors affecting working memory is essential.
  • Dynamic visual noise (DVN) is a potential tool to probe memory mechanisms.

Purpose of the Study:

  • To investigate the impact of dynamic visual noise (DVN) on working memory for different types of information.
  • To differentiate the effects of DVN on visual object memory versus spatial memory.

Main Methods:

  • Two experiments were conducted involving memory retention tasks.
  • Participants retained either a single color or four spatial locations.
  • During retention, participants viewed either dynamic visual noise (DVN) or a static matrix pattern.

Main Results:

  • Dynamic visual noise (DVN) significantly affected memory for colors.
  • No significant effects of DVN were observed on memory for spatial locations.
  • Recognition and reproduction tasks yielded consistent findings regarding DVN's impact.

Conclusions:

  • DVN selectively interferes with the working memory of visual features (color) but not spatial information.
  • These findings have implications for working memory theories.
  • DVN shows promise as a methodological tool for studying memory processes.