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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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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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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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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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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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Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
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Development and binocular matching of orientation selectivity in visual cortex: a computational model.

Xize Xu1, Jianhua Cang2, Hermann Riecke1

  • 1Department of Engineering Science and Applied Mathematics, Northwestern University, Evanston, Illinois.

Journal of Neurophysiology
|January 9, 2020
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Summary

Computational models reveal how binocular cells in the mouse visual cortex match orientation selectivity from both eyes. This matching process is crucial for coherent visual perception and depends on ocular dominance and initial orientation selectivity.

Keywords:
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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Binocular cells in the mouse visual cortex initially show different preferred orientations for inputs from each eye.
  • During a critical period, normal visual experience leads to the matching of these preferred orientations for effective binocular vision.

Purpose of the Study:

  • To develop a computational model simulating the matching process of preferred orientations in binocular cortical cells.
  • To understand the relationship between matching, ocular dominance, and monocular orientation selectivity.

Main Methods:

  • Development of a computational model of a cortical cell receiving orientation-selective inputs through plastic synapses.
  • Simulating the evolution of preferred orientations and analyzing matching dynamics based on ocular dominance.

Main Results:

  • The model accurately replicates experimentally observed matching of preferred orientations and its dependence on ocular dominance.
  • Predictions include faster matching with higher initial ocular dominance and a stronger link between matching and increased orientation selectivity.
  • Identified two matching routes: gradual drift and sudden switches, with the latter potentially leading to monocular cells.

Conclusions:

  • Neuronal system models integrating multisensory inputs can gain insights from this study on visual cortex development.
  • The findings suggest that the matching of orientation selectivities drives the development of orientation selectivity, rather than vice versa.
  • The study highlights the interdependence of matching, ocular dominance, and orientation selectivity in the visual cortex.