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Related Concept Videos

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

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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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Anatomy of the Eyeball01:20

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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...
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Perceptual Constancy01:12

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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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Types of Selection01:46

Types of Selection

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Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
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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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Related Experiment Video

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Category selectivity for animals and man-made objects: Beyond low- and mid-level visual features.

Chenxi He1, Olivia S Cheung1

  • 1Department of Psychology, Division of Science, New York University Abu Dhabi, United Arab Emirates.

Journal of Vision
|October 25, 2019
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Summary
This summary is machine-generated.

Search performance for animals is faster than for man-made objects, driven by efficient categorization rather than just visual features. This highlights how higher-order conceptual processing influences visual search.

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Area of Science:

  • Cognitive Psychology
  • Visual Perception

Background:

  • Distinct categories like animate (animals) and inanimate (man-made objects) have systematic visual differences.
  • Previous research suggests visual features alone may explain faster visual search for animals.

Purpose of the Study:

  • To investigate whether low- or mid-level visual features solely account for the visual search advantage of animals over man-made objects.
  • To determine the role of conceptual information in category-selective visual search.

Main Methods:

  • Four experiments were conducted using images with controlled visual shape and gist statistics.
  • Participants performed visual search tasks for animal or man-made object targets among fruit/vegetable distractors.

Main Results:

  • Consistent faster search performance for animal targets compared to man-made object targets was observed.
  • This animal search advantage was not significantly affected by low/mid-level visual properties or explicit target instructions.

Conclusions:

  • The efficiency of categorizing animals, rather than just visual features, likely drives the search advantage.
  • Higher-order conceptual processing, including interpreting visual input and mapping to concepts, is critical for category-selective effects in visual search.