For general networks of pulse-coupled oscillators, including regular, random, and more complex networks, we develop an exact stability analysis of synchronous states. As opposed to conventional stability analysis, here stability is determined by a multitude of linear operators. We treat this multioperator problem exactly and show that for inhibitory interactions the synchronous state is stable, independent of the parameters and the network connectivity. In randomly connected networks with strong interactions this synchronous state, displaying regular dynamics, coexists with a balanced state exhibiting irregular dynamics. External signals may switch the network between qualitatively distinct states
Synchronization is an emergent property in networks of interacting dynamical elements. Here we revie...
Large sparse circuits of spiking neurons exhibit a balanced state of highly irregular activity under...
Despite the ubiquity of systems with heterogeneous connectivity, the role of inhomogeneity on networ...
For general networks of pulse-coupled oscillators, including regular, random, and more complex netwo...
Under which conditions can a network of pulse-coupled oscillators sustain stable collective activity...
Complex network comprised of interconnected oscillatory systems are investigated in various contexts...
Abstract—The stability of synchronization state in networks of oscillators are studied under the ass...
We propose a method for determining the range of the coupling parameter for which the network of sli...
For a class of coupled limit cycle oscillators, we give a condition on a linear coupling operator th...
In a generalized framework, where multistate and interstate linkages are allowed, the synchronizatio...
We propose a methodology to analyze synchronization in an ensemble of diffusively coupled multistabl...
In a generalized framework, where multistate and interstate linkages are allowed, the synchronizatio...
The incipience of synchrony in a diverse population of phase oscillators with non-identical interact...
We investigate the stability of synchronization in networks of delay-coupled excitable neural oscill...
Large sparse circuits of spiking neurons exhibit a balanced state of highly irregular activity under...
Synchronization is an emergent property in networks of interacting dynamical elements. Here we revie...
Large sparse circuits of spiking neurons exhibit a balanced state of highly irregular activity under...
Despite the ubiquity of systems with heterogeneous connectivity, the role of inhomogeneity on networ...
For general networks of pulse-coupled oscillators, including regular, random, and more complex netwo...
Under which conditions can a network of pulse-coupled oscillators sustain stable collective activity...
Complex network comprised of interconnected oscillatory systems are investigated in various contexts...
Abstract—The stability of synchronization state in networks of oscillators are studied under the ass...
We propose a method for determining the range of the coupling parameter for which the network of sli...
For a class of coupled limit cycle oscillators, we give a condition on a linear coupling operator th...
In a generalized framework, where multistate and interstate linkages are allowed, the synchronizatio...
We propose a methodology to analyze synchronization in an ensemble of diffusively coupled multistabl...
In a generalized framework, where multistate and interstate linkages are allowed, the synchronizatio...
The incipience of synchrony in a diverse population of phase oscillators with non-identical interact...
We investigate the stability of synchronization in networks of delay-coupled excitable neural oscill...
Large sparse circuits of spiking neurons exhibit a balanced state of highly irregular activity under...
Synchronization is an emergent property in networks of interacting dynamical elements. Here we revie...
Large sparse circuits of spiking neurons exhibit a balanced state of highly irregular activity under...
Despite the ubiquity of systems with heterogeneous connectivity, the role of inhomogeneity on networ...