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Related Concept Videos

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...
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.
Parallel Processing01:20

Parallel Processing

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...
Color Vision01:24

Color Vision

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.
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

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 layer, the vascular tunic,...
Motor and Sensory Areas of the Cortex01:14

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.
Motor Areas
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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Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
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Visual search in scenes involves selective and nonselective pathways.

Jeremy M Wolfe1, Melissa L-H Võ, Karla K Evans

  • 1Brigham & Women's Hospital, Harvard Medical School, 64 Sidney St. Suite 170, Cambridge, MA 02139, USA. wolfe@search.bwh.harvard.edu

Trends in Cognitive Sciences
|January 14, 2011
PubMed
Summary
This summary is machine-generated.

Visual search models are relevant to real-world scenes. Scene information guides search via selective and nonselective pathways, expanding upon traditional laboratory search tasks.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Computer Vision

Background:

  • Traditional visual search models rely on laboratory experiments with isolated objects on blank backgrounds.
  • The applicability of these models to complex, continuous natural scenes has been questioned.

Purpose of the Study:

  • To investigate the relevance of established visual search mechanisms in natural scenes.
  • To propose an updated model that incorporates scene-based information for guiding visual search.

Main Methods:

  • Review and theoretical analysis of existing visual search paradigms.
  • Conceptualization of a dual-path model integrating laboratory findings with scene perception.

Main Results:

  • Mechanisms from artificial laboratory search tasks are indeed applicable to visual search in scenes.
  • Scene-based information significantly influences search guidance in ways not accounted for by prior models.

Conclusions:

  • Visual search in continuous scenes is best explained by a dual-path model.
  • This model includes a 'selective' path for individual object recognition and a 'nonselective' path utilizing global or statistical scene information.