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The Retina

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.

Vision

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.

Photoreceptors and Visual Pathways

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...

Anatomy of the Eyeball

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,...

Visual System

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...

Color Vision

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.

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Related Experiment Video

Updated: Jul 7, 2026

Using Looming Visual Stimuli to Evaluate Mouse Vision

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

Visual information processing in primate cone pathways. II. Experiments.

S Shah¹, M D Levine

¹Centre for Intelligent Machines, McGill Univ., Montreal, Que.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|January 1, 1996

Summary

This summary is machine-generated.

This study validates a computer retina model by simulating electrophysiology experiments. The model accurately replicates primate retina responses, enhancing contrast and adapting to light levels.

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Area of Science:

Computational neuroscience
Computer vision
Biophysics

Background:

The primate retina's complex processing of visual information is not fully understood.
Existing computational models often lack validation against biological data.
Part I introduced a novel computer retina model.

Purpose of the Study:

To experimentally validate the computer retina model proposed in Part I.
To compare the model's outputs with electrophysiological recordings from biological retinas.
To assess the model's ability to replicate key retinal functions like contrast enhancement and light adaptation.

Main Methods:

Simulation of standard electrophysiological experiments on the computer retina model.
Comparison of simulated outputs with published electrophysiological data from primate retinas.
Testing the model with complex stimuli to evaluate spatio-temporal contrast processing and light adaptation.

Main Results:

The computer retina model's outputs closely matched published recordings from biological retinas.
Simulated experiments confirmed the model's ability to enhance spatio-temporal contrast.
The model demonstrated adaptive capabilities across a wide range of illumination levels, similar to the primate retina.

Conclusions:

The computer retina model provides a valid and robust simulation of primate retinal function.
The model successfully replicates key aspects of visual information processing, including contrast enhancement and light adaptation.
This validated model serves as a valuable tool for further research in visual neuroscience and artificial intelligence.