Control of collective network chaos
DOI10.1063/1.4882170zbMath1345.34066OpenAlexW2088197792WikidataQ45000114 ScholiaQ45000114MaRDI QIDQ2821557
Ernest Barreto, Alexandre Wagemakers, So, Paul, Miguel A. F. Sanjuán
Publication date: 21 September 2016
Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/7bf50c132cd595d313858cb24faf2d6c49d12397
Sensitivity (robustness) (93B35) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear oscillations and coupled oscillators for ordinary differential equations (34C15) Complex behavior and chaotic systems of ordinary differential equations (34C28) Control/observation systems governed by ordinary differential equations (93C15)
Related Items (4)
Cites Work
- Unnamed Item
- Dynamics of heterogeneous oscillator ensembles in terms of collective variables
- Chemical oscillations, waves, and turbulence
- The dynamics of chimera states in heterogeneous Kuramoto networks
- Constants of motion for superconducting Josephson arrays
- Finding all periodic orbits of maps using Newton methods: Sizes of basins
- Networks of theta neurons with time-varying excitability: macroscopic chaos, multistability, and final-state uncertainty
- Parabolic Bursting in an Excitable System Coupled with a Slow Oscillation
- Controlling chaos
- Pinning a Complex Dynamical Network to Its Equilibrium
- Identical phase oscillators with global sinusoidal coupling evolve by Möbius group action
- Invariant submanifold for series arrays of Josephson junctions
- Generating macroscopic chaos in a network of globally coupled phase oscillators
- Average dynamics of a driven set of globally coupled excitable units
- Comment on “Long time evolution of phase oscillator systems” [Chaos 19, 023117 (2009)]
- Complete Classification of the Macroscopic Behavior of a Heterogeneous Network of Theta Neurons
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