We provide the topological structure of a series of N=28 Rössler chaotic oscillators diffusively coupled through one of its variables. The dynamics of the y variable describing the evolution of the individual nodes of the network are given for a wide range of coupling strengths. Datasets capture the transition from the unsynchronized behavior to the synchronized one, as a function of the coupling strength between oscillators. The fact that both the underlying topology of the system and the dynamics of the nodes are given together makes this dataset a suitable candidate to evaluate the interplay between functional and structural networks and serve as a benchmark to quantify the ability of a given algorithm to extract the structural network o...
Chaotic evolution is generally too irregular to be captured in an analytic solution. Nonetheless, so...
Chaotic evolution is generally too irregular to be captured in an analytic solution. Nonetheless, so...
This book brings together two emerging research areas: synchronization in coupled nonlinear systems ...
AbstractWe provide the topological structure of a series of N=28 Rössler chaotic oscillators diffusi...
AbstractWe provide the topological structure of a series of N=28 Rössler chaotic oscillators diffusi...
Synchronization of networks of chaotic oscillators: Structural and dynamical dataset
The analysis of the interplay between structural and functional networks require experiments where b...
Abstract Inferring the interactions between coupled oscillators is a significant open problem in com...
The Kuramoto model for an ensemble of coupled oscillators provides a paradigmatic example of nonequi...
Chaotic synchronization has been discovered to be an important property of neural activities, which ...
Chaotic synchronization has been discovered to be an important property of neural activities, which ...
Synchronization within the dynamical nodes of a complex network is usually considered homogeneous th...
We study synchronization dynamics of a population of pulse-coupled oscillators. In particular, we fo...
We study the influence of the initial topology of connections on the organization of synchronous beh...
We propose a method for determining the range of the coupling parameter for which the network of sli...
Chaotic evolution is generally too irregular to be captured in an analytic solution. Nonetheless, so...
Chaotic evolution is generally too irregular to be captured in an analytic solution. Nonetheless, so...
This book brings together two emerging research areas: synchronization in coupled nonlinear systems ...
AbstractWe provide the topological structure of a series of N=28 Rössler chaotic oscillators diffusi...
AbstractWe provide the topological structure of a series of N=28 Rössler chaotic oscillators diffusi...
Synchronization of networks of chaotic oscillators: Structural and dynamical dataset
The analysis of the interplay between structural and functional networks require experiments where b...
Abstract Inferring the interactions between coupled oscillators is a significant open problem in com...
The Kuramoto model for an ensemble of coupled oscillators provides a paradigmatic example of nonequi...
Chaotic synchronization has been discovered to be an important property of neural activities, which ...
Chaotic synchronization has been discovered to be an important property of neural activities, which ...
Synchronization within the dynamical nodes of a complex network is usually considered homogeneous th...
We study synchronization dynamics of a population of pulse-coupled oscillators. In particular, we fo...
We study the influence of the initial topology of connections on the organization of synchronous beh...
We propose a method for determining the range of the coupling parameter for which the network of sli...
Chaotic evolution is generally too irregular to be captured in an analytic solution. Nonetheless, so...
Chaotic evolution is generally too irregular to be captured in an analytic solution. Nonetheless, so...
This book brings together two emerging research areas: synchronization in coupled nonlinear systems ...