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 Experiment Videos

Chaotic channel.

M S Baptista1, J Kurths

  • 1Universität Potsdam, Institut für Physik, Am Neuen Palais 10, D-14469 Potsdam, Deutschland.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 31, 2005
PubMed
Summary
This summary is machine-generated.

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

Explainable AI for analyzing the decision of GNNs at predicting dynamic stability of complex oscillator networks.

Chaos (Woodbury, N.Y.)·2025
Same author

Dynamic analysis of a generalized attention deficit disorder model with Soboleva activation functions.

Chaos (Woodbury, N.Y.)·2025
Same author

Canard Cascading in Networks with Adaptive Mean-Field Coupling.

Physical review letters·2024
Same author

Deuterated polyunsaturated fatty acids inhibit photoirradiation-induced lipid peroxidation in lipid bilayers.

Journal of photochemistry and photobiology. B, Biology·2022
Same author

Mathematical modeling of COVID-19 pandemic in the context of sub-Saharan Africa: a short-term forecasting in Cameroon and Gabon.

Mathematical medicine and biology : a journal of the IMA·2022
Same author

Progress in the photodynamic therapy treatment of Leishmaniasis.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2021
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Information exchange in chaotic nets is proportional to system synchronization. This study introduces the chaotic channel, linking chaotic synchronization and information theory for novel communication pathways.

Area of Science:

  • Complex Systems
  • Information Theory
  • Chaos Theory

Background:

  • Chaotic systems exhibit complex, unpredictable dynamics.
  • Information theory quantifies data transmission and storage.
  • Synchronization in chaotic systems is a key phenomenon.

Purpose of the Study:

  • To introduce the concept of a "chaotic channel" for information flow.
  • To investigate the relationship between chaotic synchronization and information exchange.
  • To bridge chaotic synchronization theory with information theory.

Main Methods:

  • Modeling information flow through connected chaotic systems.
  • Analyzing synchronization levels between subsystems (transmitter and receiver).
  • Quantifying information exchange within the chaotic net.

Related Experiment Videos

Main Results:

  • Information exchange is directly proportional to the synchronization level between the transmitter and receiver subsystems.
  • The chaotic channel acts as an active medium for information transmission.
  • The amount of information is limited by the degree of synchronization.

Conclusions:

  • Chaotic synchronization is a critical factor in determining information capacity within chaotic channels.
  • The chaotic channel provides a new framework for understanding information propagation in complex chaotic networks.
  • This work establishes a quantitative link between physical system dynamics and information-theoretic limits.