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Related Concept Videos

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...
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...
Perception01:28

Perception

Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
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,...
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.

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Related Experiment Video

Updated: Jul 10, 2026

Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes
09:27

Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes

Published on: January 19, 2024

Time course of visual perception: coarse-to-fine processing and beyond.

Jay Hegdé1

  • 1Department of Psychology, University of Minnesota, 75 East River Parkway, Minneapolis, MN 55455, USA. hegde@umn.edu

Progress in Neurobiology
|November 3, 2007
PubMed
Summary

Understanding visual perception

Area of Science:

  • Visual neuroscience
  • Cognitive science
  • Computational vision

Background:

  • Visual perception changes rapidly, even with static scenes.
  • Understanding these temporal dynamics is key to understanding vision.
  • Current understanding of visual temporal dynamics and neural mechanisms is incomplete.

Purpose of the Study:

  • To explore the temporal dynamics of visual perception.
  • To elucidate the neural mechanisms underlying these changes.
  • To propose frameworks for understanding visual temporal processing.

Main Methods:

  • Psychophysical studies in humans to assess scene gist and object identification.
  • Microelectrode recordings in monkeys.
  • Neuroimaging studies in humans.

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A Method to Quantify Visual Information Processing in Children Using Eye Tracking
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A Method to Quantify Visual Information Processing in Children Using Eye Tracking

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A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
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A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Related Experiment Videos

Last Updated: Jul 10, 2026

Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes
09:27

Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes

Published on: January 19, 2024

A Method to Quantify Visual Information Processing in Children Using Eye Tracking
09:47

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

Published on: July 9, 2016

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
07:12

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Main Results:

  • Humans can grasp scene 'gist' within 150ms, but object identification takes longer.
  • Neural studies reveal temporal dynamics at neuronal and population levels.
  • Coarse-to-fine processing partially explains temporal changes, but a Bayesian decision-making framework offers a more comprehensive view.

Conclusions:

  • Visual temporal dynamics involve complex perceptual and neural processes.
  • A sequential Bayesian decision-making model may better explain visual processing.
  • Future research should focus on characterizing inferential steps computationally, perceptually, and neurally.