We study the effects of global coupling on a set of elements whose individual dynamics is that of a one-dimensional Hamiltonian system subject to a double-well symmetric potential. Since the coupled set is in turn a Hamiltonian system, complete entrainment or synchronization is not possible due to the conservation of the phase-space volume. Instead, global coupling gives rise to a new kind of collective behavior, where the elements — initially scattered at random in the phase plane — become distributed in a complex, fractal structure. We suggest that this form of spontaneous organization should be generic in the evolution of globally coupled Hamiltonian elements
We study a network of logistic maps with two types of global coupling, inertial and dissipative. Fea...
We study the synchronization of locally coupled noisy phase oscillators that move diffusively in a o...
We investigate cluster formation in populations of coupled chaotic model neurons under homogeneous g...
The macroscopic dynamics of a large set of globally coupled, identical, noiseless, bistable elements...
We study the collective behaviour of an ensemble of coupled motile elements whose interactions depen...
The phenomena of synchronization and nontrivial collective behavior are studied in a model of couple...
We study coupled systems whose elements are chaotic maps, with the coupling ranging from "local" (wi...
Collective behavior is studied in globally coupled maps with distributed nonlinearity. It is shown t...
Assessing the extent to which dynamical systems with many degrees of freedom can be described within...
We describe the emergence of phase clustering and collective behaviors in an ensemble of chaotic cou...
We study a (generalized) globally coupled system whose elements are two-dimensional chaotic maps, an...
The paper investigates the conditions for full and partial synchronization in systems of coupled cha...
We have developed a general method for the description of separatrix chaos, based on the analysis of...
In this work we show how global self-organized patterns can come out of a disordered ensemble of poi...
The dynamics of realistic Hamiltonian systems has unusual microscopic features that are direct conse...
We study a network of logistic maps with two types of global coupling, inertial and dissipative. Fea...
We study the synchronization of locally coupled noisy phase oscillators that move diffusively in a o...
We investigate cluster formation in populations of coupled chaotic model neurons under homogeneous g...
The macroscopic dynamics of a large set of globally coupled, identical, noiseless, bistable elements...
We study the collective behaviour of an ensemble of coupled motile elements whose interactions depen...
The phenomena of synchronization and nontrivial collective behavior are studied in a model of couple...
We study coupled systems whose elements are chaotic maps, with the coupling ranging from "local" (wi...
Collective behavior is studied in globally coupled maps with distributed nonlinearity. It is shown t...
Assessing the extent to which dynamical systems with many degrees of freedom can be described within...
We describe the emergence of phase clustering and collective behaviors in an ensemble of chaotic cou...
We study a (generalized) globally coupled system whose elements are two-dimensional chaotic maps, an...
The paper investigates the conditions for full and partial synchronization in systems of coupled cha...
We have developed a general method for the description of separatrix chaos, based on the analysis of...
In this work we show how global self-organized patterns can come out of a disordered ensemble of poi...
The dynamics of realistic Hamiltonian systems has unusual microscopic features that are direct conse...
We study a network of logistic maps with two types of global coupling, inertial and dissipative. Fea...
We study the synchronization of locally coupled noisy phase oscillators that move diffusively in a o...
We investigate cluster formation in populations of coupled chaotic model neurons under homogeneous g...