Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Initial negative imaging in GATOR1-associated genetic epilepsy does not preclude the existence of a focal, resectable epileptogenic zone: illustrative cases.

Journal of neurosurgery. Case lessons·2026
Same author

The effects of time constraints on electrocortical dynamics underlying obstacle avoidance while walking.

Cortex; a journal devoted to the study of the nervous system and behavior·2026
Same author

A neuroscientist's guide to neural burst detection.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Hierarchical brain dynamics supporting visual perceptual transitions.

Science advances·2026
Same author

Rapid sequential activation from A1 to V1 in congenitally blind and sighted subjects.

Brain research bulletin·2026
Same author

Increasing participation of people with thought disorder in clinical research.

European psychiatry : the journal of the Association of European Psychiatrists·2026

Related Experiment Video

Updated: Jun 8, 2026

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Phase delays within visual cortex shape the response to steady-state visual stimulation.

Benoit Cottereau1, Jean Lorenceau, Alexandre Gramfort

  • 1COGIMAGE, Centre de Recherche de l'Institut du Cerveau et de la Moelle, CRICM, UPMC-UMRS 975 INSERM-UMR 7225 CNRS, Hôpital de la Salpêtrière, Paris, France. cottereau@ski.org

Neuroimage
|October 13, 2010
PubMed
Summary
This summary is machine-generated.

This study reveals the timing of neural communication across the visual cortex using advanced imaging. It maps brain activity and phase delays, offering new insights into visual processing dynamics.

More Related Videos

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

Related Experiment Videos

Last Updated: Jun 8, 2026

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

Area of Science:

  • Neuroscience
  • Visual Cortex Research
  • Brain Imaging

Background:

  • Functional Magnetic Resonance Imaging (fMRI) maps spatial organization of visual areas.
  • Non-invasive access to temporal dynamics of visual information flow remains challenging.

Purpose of the Study:

  • To develop and apply a novel methodology for mapping sustained oscillatory neural responses in the human visual cortex.
  • To investigate the temporal characteristics and information flow among distributed visual processing regions.

Main Methods:

  • Utilized frequency-encoded steady-state visual stimulation.
  • Combined time-resolved functional magnetic source imaging from magnetoencephalography (MEG) with anatomical magnetic resonance imaging (MRI).

Main Results:

  • Generated visuotopic maps of sustained oscillatory neural responses across the visual cortex.
  • Identified relative phase delays between striate and extra-striate visual areas, indicating temporal sequencing of neural processes.

Conclusions:

  • The developed methodology enables time-resolved, non-invasive analysis of distributed visual processes in the millisecond range.
  • Provides new insights into the chronometry and dynamics of functional processes within the human visual cortex.