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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

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.
Once through the pupil, the light passes through the lens, a...
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Motor and Sensory Areas of the Cortex01:14

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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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Association Areas of the Cortex01:21

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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Parallel Processing01:20

Parallel Processing

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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...
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Color Vision01:24

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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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Related Experiment Video

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Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
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Reconstructing representations of dynamic visual objects in early visual cortex.

Edmund Chong1, Ariana M Familiar2, Won Mok Shim3

  • 1New York University Neuroscience Institute, New York University School of Medicine, New York, NY 10016;

Proceedings of the National Academy of Sciences of the United States of America
|December 30, 2015
PubMed
Summary
This summary is machine-generated.

The brain dynamically fills in missing visual information during apparent motion (AM). Early visual cortex (V1) reconstructs object features, like orientation, not present in the actual sensory input.

Keywords:
V1apparent motiondynamic interpolationfeedbackfilling-in

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Area of Science:

  • Neuroscience
  • Visual Perception
  • Computational Neuroscience

Background:

  • The visual system constructs rich percepts by filling in missing sensory data.
  • Internal representations in early visual cortex are known, but their role in dynamic transformations is unclear.

Purpose of the Study:

  • To investigate if early visual cortex (V1) internally represents features interpolated during apparent motion (AM).
  • To determine if these representations are specific to dynamic transformations and absent in static or imagined motion.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) combined with encoding models.
  • Analysis of population-level, feature-selective tuning responses in V1 during long-range AM.

Main Results:

  • V1 reconstructs the intermediate orientation of a rotating grating during AM, even when this orientation is not directly presented.
  • This neural reconstruction is absent when AM inducers are simultaneous or when AM is imagined.

Conclusions:

  • V1 exhibits dynamic, feature-specific filling-in for interpolated object features during kinetic transformations.
  • This demonstrates the visual system's capacity to generate representations beyond immediate sensory input.