International audienceThe present work develops a new approach to studying parabolic bursting, and also proposes a novel four-dimensional canonical and polynomial-based parabolic burster. In addition to this new polynomial system, we also con- sider the conductance-based model of the Aplysia R15 neuron known as Plant’s model, and a reduction of this prototypical biophysical parabolic burster to three variables, including one phase variable, namely Rinzel’s theta model. Re- visiting these models from the perspective of slow-fast dynamics reveals that the number of spikes per burst may vary upon parameter changes, however the spike-adding process occurs in a brutal (explosive) fashion that involves special solutions called canards. This spike...
International audienceBursting is a phenomenon found in a variety of physical and biological systems...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
A modeled bursting neuron was analyzed using methods based upon geometric singular perturbation theo...
International audienceThe present work develops a new approach to studying parabolic bursting, and a...
The electronic version of this article is the complete one and can be found online at: doi:10.1186/2...
International audienceA minimal system for parabolic bursting, whose associated slow flow is integra...
An understanding of the nonlinear dynamics of bursting is fundamental in unraveling structure-functi...
International audienceBursting is one of the fundamental rhythms that excitable cells can generate e...
International audienceThis article concerns the phenomenon of Mixed-Mode Bursting Oscillations (MMBO...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
Bursting is an important behavior pattern of nerve cells and in mathematical models it is often rela...
Exploiting the specific structure of neuron conductance-based models, the paper investigates the mat...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
International audienceBursting is a phenomenon found in a variety of physical and biological systems...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
A modeled bursting neuron was analyzed using methods based upon geometric singular perturbation theo...
International audienceThe present work develops a new approach to studying parabolic bursting, and a...
The electronic version of this article is the complete one and can be found online at: doi:10.1186/2...
International audienceA minimal system for parabolic bursting, whose associated slow flow is integra...
An understanding of the nonlinear dynamics of bursting is fundamental in unraveling structure-functi...
International audienceBursting is one of the fundamental rhythms that excitable cells can generate e...
International audienceThis article concerns the phenomenon of Mixed-Mode Bursting Oscillations (MMBO...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
Bursting is an important behavior pattern of nerve cells and in mathematical models it is often rela...
Exploiting the specific structure of neuron conductance-based models, the paper investigates the mat...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
International audienceBursting is a phenomenon found in a variety of physical and biological systems...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
A modeled bursting neuron was analyzed using methods based upon geometric singular perturbation theo...