The dynamics of a network built out of excitatory and inhibitory neurons is investigated in terms of burst synchronization. The inherent activity of the neurons is controlled by a set of three delay differential equations. We take into account time delays due to propagational and synaptical delays, nonlinearities due to the synaptic transmission process and the spike generation. Intermittent synchronized network activity is observed. A mechanism for this self organized activity is proposed and bases on the occurrence and propagation of bursting activity. The results are discussed in the context of epilepsy research
The phenomenon of burst synchronization is analyzed in binary and ternary motifs consisting of Rulko...
We use computer simulations to investigate the structural and dynamical properties of a developing n...
Local circuits in the cortex and hippocampus are endowed with resonant, oscillatory firing propertie...
Both time delay and coupling form are the most important factors in neural networks. The properties ...
This paper investigates the dependence of synchronization transitions of bursting oscillations on th...
The dynamic behavior of a network model consisting of all-to-all excitatory coupled binary neurons w...
The dynamic behavior of a network model consisting of all-to-all ex-citatory coupled binary neurons ...
The inhibitory synapse can induce synchronous behaviors different from the anti-phase synchronous be...
The dynamic behavior of a network model consisting of all-to-all excitatory coupled binary neurons w...
Abstract—We study the emergence of in-phase and anti-phase synchronized rhythms in bursting networks...
In the brain, synchronization among cells of an assembly is a common phenomenon, and thought to be f...
A prominent feature of the dynamics of large neuronal networks are the synchrony-driven collective o...
A simple mathematical model describing the generation and propagation of epileptiform activity in a ...
A prominent feature of the dynamics of large neuronal networks are the synchrony-driven collective o...
Throughout the neocortex, groups of neurons have been found to fire synchronously on the time scale ...
The phenomenon of burst synchronization is analyzed in binary and ternary motifs consisting of Rulko...
We use computer simulations to investigate the structural and dynamical properties of a developing n...
Local circuits in the cortex and hippocampus are endowed with resonant, oscillatory firing propertie...
Both time delay and coupling form are the most important factors in neural networks. The properties ...
This paper investigates the dependence of synchronization transitions of bursting oscillations on th...
The dynamic behavior of a network model consisting of all-to-all excitatory coupled binary neurons w...
The dynamic behavior of a network model consisting of all-to-all ex-citatory coupled binary neurons ...
The inhibitory synapse can induce synchronous behaviors different from the anti-phase synchronous be...
The dynamic behavior of a network model consisting of all-to-all excitatory coupled binary neurons w...
Abstract—We study the emergence of in-phase and anti-phase synchronized rhythms in bursting networks...
In the brain, synchronization among cells of an assembly is a common phenomenon, and thought to be f...
A prominent feature of the dynamics of large neuronal networks are the synchrony-driven collective o...
A simple mathematical model describing the generation and propagation of epileptiform activity in a ...
A prominent feature of the dynamics of large neuronal networks are the synchrony-driven collective o...
Throughout the neocortex, groups of neurons have been found to fire synchronously on the time scale ...
The phenomenon of burst synchronization is analyzed in binary and ternary motifs consisting of Rulko...
We use computer simulations to investigate the structural and dynamical properties of a developing n...
Local circuits in the cortex and hippocampus are endowed with resonant, oscillatory firing propertie...