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Related Concept Videos

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.
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...
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"...
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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Motor and Sensory Areas of the Cortex

The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
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The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex.

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Related Experiment Video

Updated: May 23, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Category learning increases discriminability of relevant object dimensions in visual cortex.

Jonathan R Folstein1, Thomas J Palmeri, Isabel Gauthier

  • 1Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA. jonathan.r.folstein@gmail.com

Cerebral Cortex (New York, N.Y. : 1991)
|April 12, 2012
PubMed
Summary

Learning to categorize objects enhances perception by tuning visual cortex sensitivity to category-relevant features. This category-specific perceptual learning improves object discrimination and alters neural representations in the brain.

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Area of Science:

  • Cognitive Neuroscience
  • Visual Perception
  • Neuroplasticity

Background:

  • Object categorization learning selectively enhances perception of relevant features.
  • These perceptual changes can persist and influence subsequent discrimination tasks.
  • Understanding the neural basis of these perceptual shifts is crucial.

Purpose of the Study:

  • To investigate how category learning alters neural representations in the visual cortex.
  • To determine if enhanced perceptual sensitivity is reflected in neural discriminability.
  • To identify specific brain regions involved in category-specific perceptual learning.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) adaptation was employed.
  • Participants underwent category learning tasks.
  • Neural responses to visual stimuli were analyzed to assess discriminability.

Main Results:

  • Category learning led to increased neural sensitivity to shape variations relevant to the learned categories in the anterior fusiform gyrus.
  • Extrastriate occipital areas showed heightened sensitivity to shape variations crossing category boundaries.
  • Neural discriminability of object representations changed based on prior categorization experience.

Conclusions:

  • Perceptual learning through categorization induces lasting changes in visual cortex representations.
  • These neural changes support enhanced discrimination of category-relevant features.
  • Visual cortex representations are dynamically shaped by an object's categorization history.