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Related Concept Videos

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...
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.
Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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.
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.

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Related Experiment Video

Updated: Jul 10, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

Visual adaptation: neural, psychological and computational aspects.

Colin W G Clifford1, Michael A Webster, Garrett B Stanley

  • 1School of Psychology, University of Sydney, Sydney, NSW 2006, Australia. colinc@psych.usyd.edu.au

Vision Research
|October 16, 2007
PubMed
Summary

Visual adaptation allows the visual system to adjust to environmental changes, impacting neural coding and perception. This review integrates new data and models to explore adaptation

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Vision Science

Background:

  • Visual adaptation involves dynamic changes in sensory processing.
  • These adjustments are crucial for understanding neural coding principles.
  • Adaptation significantly influences perceptual experience.

Purpose of the Study:

  • To review functional concepts of visual adaptation.
  • To integrate recent physiological and psychophysical data.
  • To bridge experimental and theoretical perspectives on adaptation.

Main Methods:

  • Review of current physiological and psychophysical data.
  • Analysis of emerging statistical and computational models.
  • Discussion of functional ideas in light of recent findings.

Main Results:

  • New data provide insights into adaptation mechanisms.
  • Computational models offer frameworks for understanding adaptation.
  • Integration of diverse perspectives highlights key research areas.

Conclusions:

  • Visual adaptation is a fundamental process in sensory systems.
  • Further research integrating experimental and theoretical approaches is needed.
  • Understanding adaptation advances knowledge of neural coding and perception.