Exploiting the specific structure of neuron conductance-based models, the paper investigates the mathematical modeling of neuronal bursting modulation. The proposed approach combines singularity theory and geometric singular perturbations to capture the geometry of multiple time-scale attractors in the neighborhood of high-codimension singularities. We detect a three–time-scale bursting attractor in the universal unfolding of the winged cusp singularity and discuss the physiological relevance of the bifurcation and unfolding parameters in determining a physiological modulation of bursting. The results suggest generality and simplicity in the organizing role of the winged cusp singularity for the global dynamics of conductance-based models
We report a detailed analysis on the emergence of bursting in a recently developed neural mass model...
ABSTRACT Chaotic regimes have been observed experimentally in neurons as well as in deterministic ne...
Chaotic regimens have been observed experimentally in neurons as well as in deterministic neuronal m...
International audienceBursting is a phenomenon found in a variety of physical and biological systems...
In this thesis we use tools provided by dynamical systems theory to analyse transient behaviour of n...
A modeled bursting neuron was analyzed using methods based upon geometric singular perturbation theo...
Activity types of isolated neurons and their models may be generically classified as hyper- and depo...
[résumé trop long]The important relationship between structure and function has always been a fundam...
Neurons in the brain are known to exhibit diverse bursting patterns. In this work, which combines th...
International audienceThe present work develops a new approach to studying parabolic bursting, and a...
International audienceThe present work develops a new approach to studying parabolic bursting, and a...
<div><p>The dynamics of individual neurons are crucial for producing functional activity in neuronal...
Complex neuronal networks are an important tool to help explain paradoxical phenomena observed in bi...
Multi-spike bursting of the membrane potential is understood to be a key mechanism for cell signalli...
We report a detailed analysis on the emergence of bursting in a recently developed neural mass model...
We report a detailed analysis on the emergence of bursting in a recently developed neural mass model...
ABSTRACT Chaotic regimes have been observed experimentally in neurons as well as in deterministic ne...
Chaotic regimens have been observed experimentally in neurons as well as in deterministic neuronal m...
International audienceBursting is a phenomenon found in a variety of physical and biological systems...
In this thesis we use tools provided by dynamical systems theory to analyse transient behaviour of n...
A modeled bursting neuron was analyzed using methods based upon geometric singular perturbation theo...
Activity types of isolated neurons and their models may be generically classified as hyper- and depo...
[résumé trop long]The important relationship between structure and function has always been a fundam...
Neurons in the brain are known to exhibit diverse bursting patterns. In this work, which combines th...
International audienceThe present work develops a new approach to studying parabolic bursting, and a...
International audienceThe present work develops a new approach to studying parabolic bursting, and a...
<div><p>The dynamics of individual neurons are crucial for producing functional activity in neuronal...
Complex neuronal networks are an important tool to help explain paradoxical phenomena observed in bi...
Multi-spike bursting of the membrane potential is understood to be a key mechanism for cell signalli...
We report a detailed analysis on the emergence of bursting in a recently developed neural mass model...
We report a detailed analysis on the emergence of bursting in a recently developed neural mass model...
ABSTRACT Chaotic regimes have been observed experimentally in neurons as well as in deterministic ne...
Chaotic regimens have been observed experimentally in neurons as well as in deterministic neuronal m...