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Related Concept Videos

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...
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...
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.
Color Vision01:24

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.
Visual Agnosia01:12

Visual Agnosia

Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round end"...
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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State-Dependency Effects on TMS: A Look at Motive Phosphene Behavior
12:38

State-Dependency Effects on TMS: A Look at Motive Phosphene Behavior

Published on: December 28, 2010

State-dependent visual processing.

Juliane Britz1, Christoph M Michel

  • 1Functional Brain Mapping Laboratory, Department of Fundamental Neuroscience and Clinic of Neurology, University Medical School and University Hospital of Geneva Geneva, Switzerland.

Frontiers in Psychology
|December 29, 2011
PubMed
Summary
This summary is machine-generated.

Pre-stimulus brain activity, not just stimulus properties, significantly influences visual processing. This brain activity, including EEG frequency, phase, and microstates, shapes both basic sensory perception and higher-level cognitive awareness.

Keywords:
EEG microstatesambiguous figuresbinocular rivalryresting-state networksstate-dependent information processing

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Published on: May 12, 2019

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Human Electrophysiology

Background:

  • Traditional models of visual cognition focus on stimulus properties and task demands, often discarding non-stimulus related brain activity as noise.
  • This conventional approach overlooks the significant role of pre-stimulus neural activity in shaping visual processing.
  • Emerging evidence suggests that spontaneous brain activity possesses a structured organization that profoundly impacts how upcoming stimuli are processed.

Purpose of the Study:

  • To review and synthesize recent findings on the role of pre-stimulus brain activity in human visual cognition.
  • To challenge the traditional view of non-stimulus related activity as mere noise.
  • To highlight how different aspects of pre-stimulus activity influence both low-level sensory and high-level perceptual processes.

Main Methods:

  • Review of human electrophysiology studies examining pre-stimulus electroencephalography (EEG) data.
  • Analysis of pre-stimulus EEG frequency power, phase, and microstates.
  • Correlation of pre-stimulus brain states with subsequent visual processing outcomes.

Main Results:

  • Pre-stimulus EEG frequency power and phase significantly modulate visual processing.
  • Pre-stimulus EEG microstates are critical determinants of visual processing properties.
  • Low-level sensory processes are influenced by the excitability of sensory cortices, while perceptual awareness relies on pre-stimulus activity in higher-level non-visual brain areas.
  • The speed and accuracy of stimulus identification are modulated by pre-stimulus brain states.

Conclusions:

  • Non-stimulus related brain activity is not noise but a structured, organized phenomenon that predicts visual processing.
  • Pre-stimulus brain states play a crucial role in determining the qualitative and quantitative aspects of visual cognition.
  • Understanding pre-stimulus activity is essential for a comprehensive model of human visual cognition.