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

IP3/DAG Signaling Pathway01:11

IP3/DAG Signaling Pathway

12.8K
Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...
12.8K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

172
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...
172
Hedgehog Signaling Pathway02:33

Hedgehog Signaling Pathway

7.8K
The Hedgehog gene (Hh) was first discovered due to its control of the growth of disorganized, hair-like bristles phenotype in Drosophila, much like hedgehog spines. Hh plays a crucial role in the development of organs and the maintenance of homeostasis in both invertebrates and vertebrates. However, while Drosophila has only one Hh protein, mammals have multiple functional Hedgehog proteins - Sonic (Shh), Desert (Dhh), and Indian Hedgehog (Ihh). All of these homologous proteins have adapted to...
7.8K
State Space Representation01:27

State Space Representation

325
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
325
Protein Networks02:26

Protein Networks

4.1K
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,...
4.1K
Mesh Analysis with Current Sources01:10

Mesh Analysis with Current Sources

1.6K
Mesh analysis becomes simpler when analyzing circuits with current sources, whether independent or dependent. The presence of current sources reduces the number of equations required for analysis. Two cases illustrate this:
Current Source in One Mesh: The analysis process is straightforward when a current source is found in only one mesh within the circuit. Mesh currents are assigned as usual, with the mesh containing the current source excluded from the analysis. Kirchhoff's voltage law...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Generalized splay states in phase oscillator networks.

Chaos (Woodbury, N.Y.)·2021
Same author

Neuron-like spiking and bursting in Josephson junctions: A review.

Chaos (Woodbury, N.Y.)·2021
Same author

Experimental chaotic synchronization for coupled double pendula.

Chaos (Woodbury, N.Y.)·2021
Same author

Multi-headed loop chimera states in coupled oscillators.

Chaos (Woodbury, N.Y.)·2021
Same author

Solitary states in the mean-field limit.

Chaos (Woodbury, N.Y.)·2020
Same author

Effect of the policy and consumption delay on the amplitude and length of business cycle.

Chaos (Woodbury, N.Y.)·2020
Same journal

Gap junction architecture and synchronization clusters in the thalamic reticular nuclei.

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

Exact computation of Lyapunov exponents via system parameters in multi-triangle chaotic maps: Bifurcation analysis and circuit realization.

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

Integrating score-based generative modeling and neural ODEs for accurate representation of multiscale chaotic dynamics.

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

A data-driven tuberculosis model with behavioral changes and saturated treatment: Optimal control and cost-effectiveness study.

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

Breathers, rational solutions, and their exact physical spectra in F = 1 spinor Bose-Einstein condensates.

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

Finite invariant sets with bridging points in logistic IFS.

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

Related Experiment Video

Updated: Oct 15, 2025

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion
07:37

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion

Published on: June 25, 2017

11.7K

Chimera states for directed networks.

Patrycja Jaros1, Roman Levchenko2, Tomasz Kapitaniak1

  • 1Division of Dynamics, Lodz University of Technology, Stefanowskiego 1/15, 90-924 Lodz, Poland.

Chaos (Woodbury, N.Y.)
|October 31, 2021
PubMed
Summary
This summary is machine-generated.

Chimera behavior emerges in phase oscillator networks with unidirectional coupling. Larger networks exhibit a unified "chimera continent" from smaller "chimera islands," influenced by coupling range.

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K
Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks
07:50

Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks

Published on: November 25, 2015

14.6K

Related Experiment Videos

Last Updated: Oct 15, 2025

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion
07:37

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion

Published on: June 25, 2017

11.7K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K
Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks
07:50

Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks

Published on: November 25, 2015

14.6K

Area of Science:

  • Complex systems
  • Nonlinear dynamics
  • Network science

Background:

  • Chimera states, a unique phenomenon where coherence and incoherence coexist in identical elements, have been observed in various oscillatory systems.
  • Understanding the emergence and dynamics of chimera states in coupled oscillator networks is crucial for fields ranging from neuroscience to power grids.

Purpose of the Study:

  • To investigate the formation and evolution of chimera states in ensembles of phase oscillators with unidirectional coupling.
  • To explore the influence of network size and coupling range on chimera behavior.

Main Methods:

  • Simulations of phase oscillator ensembles with varying numbers of elements (three and one hundred).
  • Analysis of parameter space to identify regions exhibiting chimera states.
  • Investigation of the role of unidirectional coupling and its range in the emergence of chimeras.

Main Results:

  • Tiny chimera islands were observed in small networks (cyclic triple), surrounded by chaotic switching due to counter-propagating waves.
  • In larger networks (cyclic century), these islands merged into a single 'chimera continent' encompassing diverse chimera configurations.
  • The phenomenon is prominent in networks with intermediate unidirectional coupling ranges and diminishes with decreasing range.

Conclusions:

  • Unidirectional coupling in phase oscillator networks can robustly generate chimera states.
  • Network size plays a significant role in the global manifestation of chimera behavior, transitioning from islands to a continent.
  • The range of unidirectional coupling is a critical parameter determining the presence and extent of chimera phenomena.