Structure and function in artificial, zebrafish and human neural networks
Network science provides a set of tools for the characterization of the structure and
functional behavior of complex systems. Yet a major problem is to quantify how the structural …
functional behavior of complex systems. Yet a major problem is to quantify how the structural …
Data-driven control of complex networks
Our ability to manipulate the behavior of complex networks depends on the design of
efficient control algorithms and, critically, on the availability of an accurate and tractable …
efficient control algorithms and, critically, on the availability of an accurate and tractable …
Functional control of oscillator networks
Oscillatory activity is ubiquitous in natural and engineered network systems. The interaction
scheme underlying interdependent oscillatory components governs the emergence of …
scheme underlying interdependent oscillatory components governs the emergence of …
Synchronization and multicluster capabilities of oscillatory networks with adaptive coupling
We prove the existence of a multidimensional nontrivial invariant toroidal manifold for the
Kuramoto network with adaptive coupling. The constructed invariant manifold corresponds …
Kuramoto network with adaptive coupling. The constructed invariant manifold corresponds …
Vibrational stabilization of cluster synchronization in oscillator networks
Cluster synchronization is of great importance for the normal functioning of numerous
technological and natural systems. Deviations from normal cluster synchronization patterns …
technological and natural systems. Deviations from normal cluster synchronization patterns …
Sandpile cascades on oscillator networks: The BTW model meets Kuramoto
G Mikaberidze, RM D'Souza - Chaos: An Interdisciplinary Journal of …, 2022 - pubs.aip.org
Cascading failures abound in complex systems and the Bak–Tang–Weisenfeld (BTW)
sandpile model provides a theoretical underpinning for their analysis. Yet, it does not …
sandpile model provides a theoretical underpinning for their analysis. Yet, it does not …
Stochastic synchronization in nonlinear network systems driven by intrinsic and coupling noise
Z Aminzare, V Srivastava - Biological cybernetics, 2022 - Springer
In this paper, we consider a noisy network of nonlinear systems in the sense that each
system is driven by two sources of state-dependent noise:(1) an intrinsic noise that can be …
system is driven by two sources of state-dependent noise:(1) an intrinsic noise that can be …
Relay interactions enable remote synchronization in networks of phase oscillators
Remote synchronization describes a fascinating phenomenon where oscillators that are not
directly connected via physical links evolve synchronously. This phenomenon is thought to …
directly connected via physical links evolve synchronously. This phenomenon is thought to …
Robustness of Synchronization with Heterogeneous Self-dynamics and Interactions
S Rakshit, F Pasqualetti - IEEE Control Systems Letters, 2023 - ieeexplore.ieee.org
Asymptotic stability of synchronization has been widely analyzed for identically coupled
dynamical systems, while such a study is further challenging for the case of non-identical …
dynamical systems, while such a study is further challenging for the case of non-identical …
[HTML][HTML] How do the eigenvalues of the Laplacian matrix affect route to synchronization patterns?
In cluster synchronization, network nodes are divided into synchronized groups before the
whole network gets synchronized. This phenomenon is crucial in understanding the …
whole network gets synchronized. This phenomenon is crucial in understanding the …