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Related Concept Videos

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...
The Retina01:32

The Retina

The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.
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,...
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...
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category, whereas...

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Related Experiment Video

Updated: Jul 7, 2026

Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

A digital retina-like low-level vision processor.

S Mertoguno1, N G Bourbakis

  • 1Inf. Technol. Res. Inst., Wright State Univ., Dayton, OH, USA.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 2, 2008
PubMed
Summary
This summary is machine-generated.

Researchers designed a low-level multilayer vision processor mimicking human retinal function. This retina-like processor aids autonomous vision systems for individuals with visual cortex damage.

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Area of Science:

  • Biomedical Engineering
  • Computer Vision
  • Neuroscience

Background:

  • The human retina performs complex low-level visual processing.
  • Damage to the visual cerebral cortex impairs vision.
  • Autonomous vision systems offer potential solutions for visual impairment.

Purpose of the Study:

  • To present the design and simulation of a retina-like multilayer vision processor.
  • To emulate the functional behavior of the human retina.
  • To lay the groundwork for an autonomous vision system (Kydon) for the visually impaired.

Main Methods:

  • Developed a four-layer, retina-like multilayer processor architecture.
  • Utilized hexagonal, autonomous processing elements (PEs) in each layer.
  • Performed transistor-level hardware design and simulation of the PEs.
  • Simulated the processor's functionality for low-level vision tasks.

Main Results:

  • Successfully designed and simulated a low-level multilayer vision processor.
  • The processor emulates key functional behaviors of the human retina.
  • Demonstrated capabilities in smoothing, light adaptation, edge detection, segmentation, line recognition, and region-graph generation.
  • Validated functionality through transistor-level simulations and illustrative examples.

Conclusions:

  • The designed retina-like processor is a viable component for advanced vision systems.
  • This processor can perform essential low-level visual processing tasks.
  • It serves as a foundational element for future autonomous vision systems aimed at restoring sight.