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Related Concept Videos

Visual Agnosia01:12

Visual Agnosia

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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...
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Vision01:24

Vision

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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.
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Visual System01:26

Visual System

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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.
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Depth Perception and Spatial Vision01:15

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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.
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Color Vision01:24

Color Vision

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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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Perceptual Constancy01:12

Perceptual Constancy

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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.
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Related Experiment Video

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

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Visual cognition.

Patrick Cavanagh1

  • 1Centre Attention & Vision, LPP CNRS UMR 8158, Université Paris Descartes, Paris, France. patrick.cavanagh@parisdescartes.fr

Vision Research
|February 19, 2011
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Summary
This summary is machine-generated.

Visual cognition integrates prior knowledge with sensory input for scene analysis. This review explores its origins, architecture, and components, highlighting the need for detailed models of how vision constructs representations.

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Area of Science:

  • Cognitive Neuroscience
  • Psychology
  • Computer Vision

Background:

  • Visual cognition, encompassing mid- and high-level vision, involves decision-based scene analysis.
  • Research in inference-based vision has grown significantly in the 21st century.
  • Despite ample evidence, explicit models of visual cognition are scarce.

Purpose of the Study:

  • To review the origins and architecture of visual cognition.
  • To describe key areas within visual cognition research.
  • To address the unfinished business of modeling visual cognition.

Main Methods:

  • Literature review of visual cognition research.
  • Synthesis of concepts related to mid- and high-level vision.
  • Examination of components like routines, attention, surfaces, objects, and events.

Main Results:

  • Visual cognition combines prior knowledge with retinal input for scene representation.
  • Key research areas include routines, attention, surfaces, objects, and events (motion, causality, agency).
  • The field demonstrates evidence for visual cognition but lacks detailed mechanistic models.

Conclusions:

  • Visual cognition is a crucial, yet often understated, aspect of modern vision research.
  • Understanding the "how" of visual cognition remains a significant challenge.
  • Future research must focus on constructing explicit models of visual representation.