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

You might also read

Related Articles

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

Sort by
Same author

Exploring the feasibility of modeling next-day fatigue and sleepiness using digital sleep tracker data in neurodegenerative and immune-mediated inflammatory diseases.

Frontiers in digital health·2026
Same author

Correction: EEG-based classification of alzheimer's disease and frontotemporal dementia using functional connectivity.

Scientific reports·2026
Same author

Technology Acceptance of 2 mHealth Apps During an Observational Technology Evaluation Study: Qualitative Results of a Mixed Methods Study.

JMIR human factors·2026
Same author

IDEA-FAST clinical study protocol: Identifying digital end-points of fatigue, sleep quality and daytime sleepiness in N = 2000.

Digital health·2026
Same author

The electrophysiological basis of resting-state fMRI hyperconnectivity in early Alzheimer's disease.

Alzheimer's research & therapy·2026
Same author

A Cross-Subject Band-Power Complexity Metric for Detecting Mental Fatigue Through EEG.

Brain sciences·2026
Same journal

Topological dependence of viral mutation spread in complex host-interaction networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Multifractal signatures of Hamiltonian chaos in Hyperion's rotational dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
Same journal

State estimation in spatiotemporal chaos via low-rank StatFEM.

Chaos (Woodbury, N.Y.)·2026
Same journal

Universal response functions in driven dissipative tunneling dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

Chaos (Woodbury, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Jun 27, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

Synchronization in monkey visual cortex analyzed with an information-theoretic measure.

Nikolay V Manyakov1, Marc M Van Hulle

  • 1K.U.Leuven, Laboratorium voor Neuro- en Psychofysiologie, Campus Gasthuisberg, O&N 2, Bus 1021, Herestraat 49, B-3000 Leuven, Belgium. NikolayV.Manyakov@med.kuleuven.be

Chaos (Woodbury, N.Y.)
|December 3, 2008
PubMed
Summary
This summary is machine-generated.

We found stimulus-dependent phase synchrony in monkey visual cortex local field potentials (LFPs). This study reveals waves of synchronous activity, offering new insights into visual processing.

More Related Videos

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

New Framework for Understanding Cross-Brain Coherence in Functional Near-Infrared Spectroscopy (fNIRS) Hyperscanning Studies
05:59

New Framework for Understanding Cross-Brain Coherence in Functional Near-Infrared Spectroscopy (fNIRS) Hyperscanning Studies

Published on: October 6, 2023

Related Experiment Videos

Last Updated: Jun 27, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

New Framework for Understanding Cross-Brain Coherence in Functional Near-Infrared Spectroscopy (fNIRS) Hyperscanning Studies
05:59

New Framework for Understanding Cross-Brain Coherence in Functional Near-Infrared Spectroscopy (fNIRS) Hyperscanning Studies

Published on: October 6, 2023

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual Cortex Research

Background:

  • Local field potentials (LFPs) reflect aggregate neural activity.
  • Phase synchrony is a key neural communication mechanism.
  • Area V4 is crucial for visual processing.

Purpose of the Study:

  • To investigate stimulus-dependent phase synchrony in V4 LFPs.
  • To identify temporal dynamics of neural synchrony.
  • To correlate synchrony patterns with visual stimuli.

Main Methods:

  • Application of an information-theoretic measure for phase synchrony.
  • Recording LFPs using a multi-electrode array in V4.
  • Analysis of synchronous activity waves across the array.

Main Results:

  • Statistically significant stimulus-dependent synchrony in V4 LFPs was demonstrated.
  • Synchrony was observed during distinct, short time intervals of the neural response.
  • Waves of synchronous activity were computed and their timing correlated with synchrony differences.

Conclusions:

  • Visual cortical LFPs exhibit stimulus-dependent phase synchrony.
  • Temporal dynamics of neural synchrony are linked to visual processing.
  • This provides a novel method for analyzing neural communication in the visual cortex.