We report a detailed analysis on the emergence of bursting in a recently developed neural mass model that includes short-term synaptic plasticity. Neural mass models can mimic the collective dynamics of large-scale neuronal populations in terms of a few macroscopic variables like mean membrane potential and firing rate. The present one is particularly important, as it represents an exact meanfield limit of synaptically coupled quadratic integrate and fire (QIF) neurons. Without synaptic dynamics, a periodic external current with slow frequency ε can lead to burst-like dynamics. The firing patterns can be understood using singular perturbation theory, specifically slow–fast dissection. With synaptic dynamics, timescale separation leads to a ...
A typical property of isolated cultured neuronal networks of dissociated rat cortical cells is synch...
Several firing patterns experimentally observed in neural populations have been successfully correla...
A modeled bursting neuron was analyzed using methods based upon geometric singular perturbation theo...
We report a detailed analysis on the emergence of bursting in a recently developed neural mass model...
International audienceWe report a detailed analysis on the emergence of bursting in a recently devel...
Despite the fact that the phenomenon of bursting activity is important for functioning of living neu...
Network bursting is the most common type of spontaneous activity of dissociated neuronal cultures [1...
Computational models at different spacetime scales allow us to understand the fundamentalmechanisms ...
International audienceBursting is a phenomenon found in a variety of physical and biological systems...
Abstract Mathematical models at multiple temporal and spatial scales can unveil the fundamental mech...
International audienceWe revisit the Wendling-Chauvel neural mass model by reducing it to eight ODEs...
Network bursting is a common type of collective dynamics that robustly emerges in in vitro networks...
This is a pre-print of an article published in Jouurnal of Mathematical Biology. The final authentic...
[résumé trop long]The important relationship between structure and function has always been a fundam...
Neural mass models (NMMs) are designed to reproduce the collective dynamics of neuronal populations....
A typical property of isolated cultured neuronal networks of dissociated rat cortical cells is synch...
Several firing patterns experimentally observed in neural populations have been successfully correla...
A modeled bursting neuron was analyzed using methods based upon geometric singular perturbation theo...
We report a detailed analysis on the emergence of bursting in a recently developed neural mass model...
International audienceWe report a detailed analysis on the emergence of bursting in a recently devel...
Despite the fact that the phenomenon of bursting activity is important for functioning of living neu...
Network bursting is the most common type of spontaneous activity of dissociated neuronal cultures [1...
Computational models at different spacetime scales allow us to understand the fundamentalmechanisms ...
International audienceBursting is a phenomenon found in a variety of physical and biological systems...
Abstract Mathematical models at multiple temporal and spatial scales can unveil the fundamental mech...
International audienceWe revisit the Wendling-Chauvel neural mass model by reducing it to eight ODEs...
Network bursting is a common type of collective dynamics that robustly emerges in in vitro networks...
This is a pre-print of an article published in Jouurnal of Mathematical Biology. The final authentic...
[résumé trop long]The important relationship between structure and function has always been a fundam...
Neural mass models (NMMs) are designed to reproduce the collective dynamics of neuronal populations....
A typical property of isolated cultured neuronal networks of dissociated rat cortical cells is synch...
Several firing patterns experimentally observed in neural populations have been successfully correla...
A modeled bursting neuron was analyzed using methods based upon geometric singular perturbation theo...