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Related Concept Videos

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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.
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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...
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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.
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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,...
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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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Visualizing Visual Adaptation
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Contrast and pattern adaptation in visual cortex share a common gain control mechanism.

S Amin Moosavi1, Elaine Tring1, Dario L Ringach1,2

  • 1Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.

Biorxiv : the Preprint Server for Biology
|November 26, 2025
PubMed
Summary

Neuronal responses in the visual cortex adapt to environmental statistics. A shared gain mechanism coordinates changes in response probability and mean, preserving response distribution variance.

Keywords:
Contrast AdaptationContrast GainLong-Tailed Population ResponsesPattern AdaptationVisual Adaptation

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual Cortex Research

Background:

  • Neuronal populations in the primary visual cortex adapt to environmental statistical structures.
  • Adaptation involves changes in response to stimulus contrast and pattern occurrence probabilities.

Purpose of the Study:

  • To characterize the distribution of neuronal population responses in the primary visual cortex across various adaptation states.
  • To investigate the underlying mechanisms of adaptation to stimulus contrast and pattern probability.

Main Methods:

  • Statistical modeling of neuronal population responses using a zero-inflated log-normal model.
  • Analysis of coordinated changes in response parameters (P0, μ, σ²) during adaptation.
  • Investigation of power-law relationships between response parameters and stimulus properties.

Main Results:

  • Neuronal population responses are well-described by a three-parameter zero-inflated log-normal model.
  • Adaptation leads to coordinated changes in the probability of silence (P0) and log-response mean (μ), while variance (σ²) remains invariant.
  • A common gain mechanism underlies adaptation to both contrast and pattern probability, supported by a one-dimensional response manifold.

Conclusions:

  • Contrast and pattern adaptation involve a shared mechanism modulating the mean input to cortical populations.
  • This mechanism preserves the overall structure of the neuronal response distribution.
  • Empirical relations observed are consistent with a population of linear-nonlinear neurons with environmentally modulated mean input.