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

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

The Periodic Table

The Periodic Table

As early chemists discovered more elements, they realized that various elements could be grouped by their similar chemical behaviors. One such grouping includes lithium (Li), sodium (Na), and potassium (K). All of these elements are shiny, conduct heat and electricity well, and have similar chemical properties. A second grouping includes calcium (Ca), strontium (Sr), and barium (Ba), which also are shiny, good conductors of heat and electricity, and have chemical properties in common. However,...

Periodic Classification of the Elements

Periodic Classification of the Elements

The periodic table arranges atoms based on increasing atomic number so that elements with the same chemical properties recur periodically. When their electron configurations are added to the table, a periodic recurrence of similar electron configurations in the outer shells of these elements is observed. Because they are in the outer shells of an atom, valence electrons play the most important role in chemical reactions. The outer electrons have the highest energy of the electrons in an atom...

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

Effective Value of a Periodic Waveform

Effective Value of a Periodic Waveform

The concept of effective value, the root mean square (RMS) value, is crucial in understanding electrical circuits and power delivery. This idea emerges from the necessity to measure the effectiveness of a voltage or current source in supplying power to a resistive load.
The effective value of a periodic current represents the direct current (DC) that conveys the same average power to a resistor as the periodic current itself. This concept is crucial when assessing AC circuits. To determine the...

The Periodic Table and Organismal Elements

The Periodic Table and Organismal Elements

You might also read

Related Articles

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

Sort by

Same author

[Influence of acid stimulation on expression of acid-sensing ion channel 1a and 3 in type I cells of rat carotid body.].

Sheng li xue bao : [Acta physiologica Sinica]·2009

Same author

Identification of a novel estrogen receptor beta1 binding partner, inhibitor of differentiation-1, and role of ERbeta1 in human breast cancer cells.

Cancer letters·2009

Same author

Luttinger liquid to Al'tshuler-Aronov transition in disordered, many-channel carbon nanotubes.

ACS nano·2009

Same author

Pathological changes in multiple organs of rats with severe acute pancreatitis treated by baicalin and octreotide.

Hepatobiliary & pancreatic diseases international : HBPD INT·2009

Same author

Cellular and humoral immune responses in the early stages of diabetic nephropathy in NOD mice.

Journal of autoimmunity·2009

Same author

Tailoring optical transmission via the arrangement of compound subwavelength hole arrays.

Optics express·2009

Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026

Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026

Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026

Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026

Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026

Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 6, 2026

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

Network synchronization with periodic coupling.

Sansan Li¹, Na Sun¹, Li Chen¹

¹School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710062, China.

Physical Review. E

|August 17, 2018

Summary

This summary is machine-generated.

Network synchronizability in chaotic oscillators is tuned by coupling frequency, peaking at characteristic frequencies. This finding is crucial for understanding temporal network dynamics and synchronization behavior.

More Related Videos

Functional Calcium Imaging in Developing Cortical Networks

Functional Calcium Imaging in Developing Cortical Networks

Published on: October 22, 2011

Basic Caenorhabditis elegans Methods: Synchronization and Observation

Basic Caenorhabditis elegans Methods: Synchronization and Observation

Published on: June 10, 2012

Related Experiment Videos

Last Updated: Feb 6, 2026

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

Functional Calcium Imaging in Developing Cortical Networks

Functional Calcium Imaging in Developing Cortical Networks

Published on: October 22, 2011

Basic Caenorhabditis elegans Methods: Synchronization and Observation

Basic Caenorhabditis elegans Methods: Synchronization and Observation

Published on: June 10, 2012

Area of Science:

Nonlinear Dynamics
Network Science
Chaos Theory

Background:

Networked chaotic oscillators exhibit complex synchronization behaviors.
Periodic coupling significantly impacts network synchronizability.
Understanding these dynamics is key for temporal network analysis.

Purpose of the Study:

Investigate the influence of coupling frequency on the synchronization of networked chaotic oscillators.
Analyze the mechanisms behind maximized network synchronizability.
Explore the role of finite-time Lyapunov exponents in characterizing synchronization.

Main Methods:

Simulations of networked chaotic oscillators with periodic coupling.
Master stability function method for analyzing synchronizability.
Finite-time Lyapunov exponent technique to study synchronization mechanisms.

Main Results:

Network synchronizability is maximized at characteristic frequencies related to intrinsic oscillator frequencies.
Increasing coupling amplitude decreases these characteristic frequencies.
Characteristic frequencies show abrupt changes in Lyapunov exponent power spectrum distributions.

Conclusions:

Coupling frequency is a critical parameter for controlling synchronization in chaotic oscillator networks.
Finite-time Lyapunov exponents effectively reveal synchronization mechanisms in temporally coupled systems.
This research illuminates the interplay between system dynamics and network structure.