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

Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

139
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
139
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

124
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
124
Muscle Stimulation Frequency01:22

Muscle Stimulation Frequency

2.4K
The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
Wave summation
At low firing rates, motor neurons induce individual twitch contractions in muscle fibers. These twitches...
2.4K
Phase Changes01:19

Phase Changes

4.4K
Phase transitions play an important theoretical and practical role in the study of heat flow. In melting or fusion, a solid turns into a liquid; the opposite process is freezing. In evaporation, a liquid turns into a gas; the opposite process is condensation.
A substance melts or freezes at a temperature called its melting point and boils or condenses at its boiling point. These temperatures depend on pressure. High pressure favors the denser form of the substance, so typically, high pressure...
4.4K
Restarting Stalled Replication Forks02:37

Restarting Stalled Replication Forks

2.0K
2.0K
Forced Oscillations01:06

Forced Oscillations

6.7K
When an oscillator is forced with a periodic driving force, the motion may seem chaotic. The motions of such oscillators are known as transients. After the transients die out, the oscillator reaches a steady state, where the motion is periodic, and the displacement is determined.
6.7K

You might also read

Related Articles

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

Sort by
Same author

MRI-based quantification of intratumoral heterogeneity for predicting recurrence risk in ER+/HER2- breast cancer.

Insights into imaging·2026
Same author

Utilizing intraoperative frozen section examination (IFSE) for diagnosis and treatment in a high-clinical-suspicion prostate cancer (PCa) cohort based on <sup>18</sup>F-PSMA PET/CT and MRI: a pilot study.

Translational andrology and urology·2026
Same author

[Current Situation and Influencing Factors of Knowledge,Attitudes,and Behaviors Regarding Sexual and Reproductive Health among Adolescents in Luzhou City].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae·2026
Same author

A revised model for PHF20L1 Tudor function: DNA binding overrides methylation selectivity on nucleosomes.

The Journal of biological chemistry·2026
Same author

Maladaptive reorganization of mediodorsal thalamus as a central mechanism in neuropathic pain-related sleep disorders.

Military Medical Research·2026
Same author

Application of hologram technology combined with 3D printing in transperineal prostate biopsy.

Translational andrology and urology·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: Aug 23, 2025

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality
08:09

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Published on: September 3, 2015

11.0K

Phase frustration induced remote synchronization.

Zhiyin Yang1, Dehua Chen1, Qin Xiao2

  • 1School of Physics and Electronic Science, East China Normal University, Shanghai 200241, People's Republic of China.

Chaos (Woodbury, N.Y.)
|November 1, 2022
PubMed
Summary
This summary is machine-generated.

Remote synchronization (RS) can be induced in complex brain networks by introducing phase frustration. This study reveals an optimal range for RS, crucial for understanding brain functioning and network dynamics.

More Related Videos

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
13:16

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Published on: July 31, 2021

2.0K
Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.1K

Related Experiment Videos

Last Updated: Aug 23, 2025

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality
08:09

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Published on: September 3, 2015

11.0K
Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
13:16

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Published on: July 31, 2021

2.0K
Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.1K

Area of Science:

  • Computational Neuroscience
  • Network Dynamics
  • Complex Systems

Background:

  • Remote synchronization (RS) is increasingly recognized for its role in brain function.
  • Existing models often use simplified mean-field coupling (e.g., Stuart-Landau oscillators), which doesn't fully represent complex brain networks.
  • There's a need for models that incorporate more realistic network structures and behaviors.

Purpose of the Study:

  • To introduce a novel model of remote synchronization (RS) incorporating phase frustration.
  • To investigate if RS can be induced in systems where it's absent without phase frustration.
  • To explore the relationship between phase frustration and RS in complex network models.

Main Methods:

  • Development of a new model for remote synchronization featuring phase frustration.
  • Numerical simulations conducted on both Stuart-Landau and Kuramoto oscillator networks.
  • Analysis of the influence of phase frustration matching between hub and leaf nodes on RS.

Main Results:

  • Phase frustration can induce remote synchronization (RS) in systems where it would otherwise not occur.
  • The optimal range for RS is determined by the degree of phase frustration match between hub and leaf nodes.
  • A specific relationship governing this optimal match was identified.
  • Outside the optimal range, RS occurs within a distinct linear band defined by the phase frustrations of hub and leaf nodes.

Conclusions:

  • Phase frustration is a critical factor for inducing and optimizing remote synchronization in complex networks.
  • The findings provide a framework for understanding RS in more realistic brain network models.
  • Theoretical analysis supports the observed phenomena, offering insights into network dynamics.