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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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Perceptual Constancy01:12

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Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
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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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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...
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Visual System01:26

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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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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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Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
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Visual P2p component responds to perceived numerosity.

Paolo A Grasso1,2, Irene Petrizzo1, Camilla Caponi1

  • 1Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy.

Frontiers in Human Neuroscience
|November 17, 2022
PubMed
Summary
This summary is machine-generated.

Mid-latency brain responses (P2p) reflect perceived numerosity, not just physical changes. This finding suggests later visual processing stages are involved in representing numerical information.

Keywords:
EEGadaptationevent–related potentials (ERP)numerosity perceptionvisual perception

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Area of Science:

  • Cognitive Neuroscience
  • Psychophysics
  • Electrophysiology

Background:

  • Numerosity perception is crucial for various species, likely involving specific brain mechanisms.
  • Electrophysiological (EEG) studies show early and mid-latency signals sensitive to numerosity, but their sensitivity to physical vs. perceived changes is unclear.

Purpose of the Study:

  • To investigate whether electrophysiological components track physical or perceived numerosity changes.
  • To differentiate the roles of early and mid-latency EEG signals in numerosity processing.

Main Methods:

  • Utilized a numerosity adaptation task with electrophysiological recordings (EEG).
  • Behavioral measures assessed perceived numerosity judgments under adaptation conditions.
  • Analyzed EEG signals, focusing on latency components and their correlation with adaptation effects.

Main Results:

  • Behavioral data showed consistent underestimation of test stimuli after high numerosity adaptors.
  • A mid-latency EEG component (P2p, ~200 ms) was reduced by illusory numerosity changes, particularly over the left posterior electrodes.
  • Early EEG modulations were observed for physical changes, but not for illusory changes, while P2p reflected perceived changes.

Conclusions:

  • Mid-latency P2p primarily reflects perceived numerical attributes, while earlier components track physical stimulus characteristics.
  • Numerosity adaptation involves short-term plasticity in later visual processing stages, potentially beyond primary visual cortex.
  • Mid-latency electrophysiological signals serve as a signature for the internal representation of numerical information.