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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.

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...

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,...

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

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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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Related Experiment Video

Updated: May 5, 2026

Live-imaging of the Drosophila Pupal Eye

Live-imaging of the Drosophila Pupal Eye

Published on: January 12, 2015

Dynamic predictive coding by the retina.

Toshihiko Hosoya¹, Stephen A Baccus, Markus Meister

¹Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138, USA.

|July 8, 2005

Summary

This summary is machine-generated.

The retina dynamically adjusts its visual processing in new environments. Retinal ganglion cells adapt their receptive fields within seconds to improve predictive coding for novel visual statistics.

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Area of Science:

Neuroscience
Computational Vision
Sensory Processing

Background:

Retinal ganglion cells (RGCs) transmit visual information to the brain.
RGCs typically encode spatial differences and temporal changes, not raw light intensity.
This processing strategy aligns with predictive coding, optimized for average natural environment statistics.

Purpose of the Study:

To investigate the dynamic adaptability of retinal processing in response to changing visual environments.
To determine if retinal ganglion cell receptive fields adjust to new image statistics.
To understand the mechanisms underlying these adaptive changes in visual processing.

Main Methods:

Recording spatio-temporal receptive fields of retinal ganglion cells.
Exposing animals to environments with novel visual statistics.
Utilizing a network model with plastic synapses to simulate observed adaptations.

Main Results:

Retinal ganglion cell receptive fields rapidly change within seconds of encountering a new environment.
These alterations in receptive fields enhance predictive coding efficiency under new visual statistics.
A computational model successfully replicated the observed adaptive changes, highlighting the role of synaptic plasticity.

Conclusions:

The retina exhibits remarkable dynamic adaptability, adjusting its processing strategies to match environmental visual statistics.
This rapid adaptation of receptive fields improves the efficiency of visual information processing in novel settings.
Synaptic plasticity in neural networks provides a plausible mechanism for these adaptive retinal computations.