Complex oscillations with multiple timescales - Application to neuronal dynamics

Mathieu Desroches 1
1 NEUROMATHCOMP - Mathematical and Computational Neuroscience
CRISAM - Inria Sophia Antipolis - Méditerranée , JAD - Laboratoire Jean Alexandre Dieudonné : UMR6621
Abstract : The results gathered in this thesis deal with multiple time scale dynamical systems near non-hyperbolic points, giving rise to canard-type solutions, in systems of dimension 2, 3 and 4. Bifurcation theory and numerical continuation methods adapted for such systems are used to analyse canard cycles as well as canard-induced complex oscillations in three-dimensional systems. Two families of such complex oscillations are considered: mixed-mode oscillations (MMOs) in systems with two slow variables, and bursting oscillations in systems with two fast variables. In the last chapter, we present recent results on systems with two slow and two fast variables, where both MMO-type dynamics and bursting-type dynamics can arise and where complex oscillations are also organised by canard solutions. The main application area that we consider here is that of neuroscience, more precisely low-dimensional point models of neurons displaying both sub-threshold and spiking behaviour. We focus on analysing how canard objects allow to control the oscillatory patterns observed in these neuron models, in particular the crossings of excitability thresholds.
Type de document :
HDR
Dynamical Systems [math.DS]. Universite Pierre et Marie Curie, 2015
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Soumis le : mardi 12 janvier 2016 - 23:48:36
Dernière modification le : jeudi 3 mai 2018 - 13:32:58
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Mathieu Desroches. Complex oscillations with multiple timescales - Application to neuronal dynamics . Dynamical Systems [math.DS]. Universite Pierre et Marie Curie, 2015. 〈tel-01254956〉

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