The inhibitory synapse can induce synchronous behaviors different from the anti-phase synchronous behaviors, which have been reported in recent studies. In the present paper, synchronous behaviors are investigated in the motif model composed of reciprocal inhibi-tory coupled neurons with endogenous bursting and time delay. When coupling strength is weak, synchronous behavior appears at a single interval of time delay within a bursting period. When coupling strength is strong, multiple synchronous behaviors appear at dif-ferent intervals of time delay within a bursting period. The different bursting patterns of synchronous behaviors, and time delays and coupling strengths that can induce the syn-chronous bursting patterns can be well interpr...
Recurrently coupled networks of inhibitory neurons robustly generate oscillations in the gamma band....
Anticipated synchronization (AS) is an anti-intuitive phenomenon that can occur in two coupled dynam...
The minimal two-dimensional model of bursting neuronal dynamics is used to study the influence of ti...
Abstract—We study the emergence of in-phase and anti-phase synchronized rhythms in bursting networks...
In the brain, the excitation-inhibition balance prevents abnormal synchronous behavior. However, kno...
In the brain, the excitation-inhibition balance prevents abnormal synchronous behavior. However, kno...
International audienceWe study synchronization in two neurons using two-dimensional neuronal models ...
. We study some mechanisms responsible for synchronous oscillations and loss of synchrony at physiol...
The time-interval sequences and the spatiotemporal patterns of the firings of a coupled neuronal net...
Synchronization of two time-delayed chemically coupled neurons with burst-spiking states is studied....
The dynamics of a network built out of excitatory and inhibitory neurons is investigated in terms of...
Networks of neurons, which form central pattern generators (CPGs), are important for controlling ani...
In this paper, the energy method is employed to analytically investigate the influence of time delay...
<p>(a) Dependence of oscillation period on time delay in synchronous region. (b) Time series of n...
A pair of Hindmarsh-Rose neurons with delayed coupling is studied. Bifurcations due to time-lag and ...
Recurrently coupled networks of inhibitory neurons robustly generate oscillations in the gamma band....
Anticipated synchronization (AS) is an anti-intuitive phenomenon that can occur in two coupled dynam...
The minimal two-dimensional model of bursting neuronal dynamics is used to study the influence of ti...
Abstract—We study the emergence of in-phase and anti-phase synchronized rhythms in bursting networks...
In the brain, the excitation-inhibition balance prevents abnormal synchronous behavior. However, kno...
In the brain, the excitation-inhibition balance prevents abnormal synchronous behavior. However, kno...
International audienceWe study synchronization in two neurons using two-dimensional neuronal models ...
. We study some mechanisms responsible for synchronous oscillations and loss of synchrony at physiol...
The time-interval sequences and the spatiotemporal patterns of the firings of a coupled neuronal net...
Synchronization of two time-delayed chemically coupled neurons with burst-spiking states is studied....
The dynamics of a network built out of excitatory and inhibitory neurons is investigated in terms of...
Networks of neurons, which form central pattern generators (CPGs), are important for controlling ani...
In this paper, the energy method is employed to analytically investigate the influence of time delay...
<p>(a) Dependence of oscillation period on time delay in synchronous region. (b) Time series of n...
A pair of Hindmarsh-Rose neurons with delayed coupling is studied. Bifurcations due to time-lag and ...
Recurrently coupled networks of inhibitory neurons robustly generate oscillations in the gamma band....
Anticipated synchronization (AS) is an anti-intuitive phenomenon that can occur in two coupled dynam...
The minimal two-dimensional model of bursting neuronal dynamics is used to study the influence of ti...