Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Propagation of Action Potentials

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...

Scale-Up Processes

Scale-Up Processes

The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...

Interactions Between Signaling Pathways

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...

Sequence Networks of Rotating Machines

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

Interference: Path Lengths

Interference: Path Lengths

Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...

Network Function of a Circuit

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.

You might also read

Related Articles

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

Sort by

Same author

7,7"-dimethoxyagastisflavone induced MYCN/MYBL2-dependent apoptosis and metabolism reprogramming in Sonic Hedgehog medulloblastoma.

Journal of translational medicine·2026

Same author

Phase III cardiac rehabilitation improves left ventricular ejection fraction in patients with coronary artery disease and mildly reduced ejection fraction after percutaneous coronary intervention.

International journal of cardiology·2026

Same author

Psychometric Properties and Measurement Invariance of the Malay Version of the YouTube Addiction Scale Among University Students.

Evaluation & the health professions·2026

Same author

Spirosalen-scandium catalysts enable the epimerization-tolerant closed-loop circularity of poly(l-lactic acid).

National science review·2025

Same author

Antioxidant, hypoglycemic and hypolipidemic activities of pectins from Citrus aurantium 'Changshanhuyou'.

International journal of biological macromolecules·2025

Same author

Resveratrol suppresses susceptibility of ventricular arrhythmia in heart failure model.

BMC cardiovascular disorders·2025

Search research articles

Related Experiment Video

Updated: Jul 6, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Paths to globally generalized synchronization in scale-free networks.

Yao-Chen Hung¹, Yu-Ting Huang, Ming-Chung Ho

¹Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan. ychung@phys.sinica.edu.tw

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|March 21, 2008

Summary

We studied how chaotic oscillators synchronize in scale-free networks. Synchronization begins at network hubs and spreads as coupling strength increases, revealing pathways to global generalized synchronization.

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

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

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: Jul 6, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

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

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

Published on: October 6, 2023

Area of Science:

Complex systems
Nonlinear dynamics
Network science

Background:

Synchronization is a fundamental phenomenon in complex systems.
Understanding synchronization in networks of chaotic oscillators is crucial for various applications.
Scale-free networks exhibit unique structural properties that influence emergent behaviors.

Purpose of the Study:

To investigate the mechanisms and pathways of globally generalized synchronization in scale-free networks.
To analyze the role of network hubs in initiating and propagating synchronization.
To explore the impact of coupling strength on synchronization transitions and intermittent behaviors.

Main Methods:

Application of the auxiliary-system approach.
Modeling scale-free networks of identical chaotic oscillators (Hénon maps, logistic maps, Lorentz oscillators).
Systematic variation of coupling strength (epsilon) to observe synchronization dynamics.

Main Results:

Identified transitions from partial to globally generalized synchronization with increasing coupling strength.
Observed intermittent behaviors near synchronization thresholds.
Demonstrated that generalized synchronization initiates at network hubs and propagates across the network.

Conclusions:

The auxiliary-system approach provides insights into synchronization pathways in complex networks.
Network hubs play a critical role in the onset and spread of generalized synchronization.
Findings contribute to a deeper understanding of synchronization phenomena in scale-free networks.