Complex oscillations with multiple timescales - Application to neuronal dynamics

Mathieu Desroches (1)

1 NEUROMATHCOMP - Mathematical and Computational Neuroscience

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.

Mots clés: Slow-fast dynamical systems; Bifurcation theory; Numerical continuation methods; Canard solutions; Mixed-Mode Oscillations; Bursting Oscillations; Neuronal activity

Mots clés: Neurosciences mathématiques

Domaines: Systèmes dynamiques [math.DS]; Neurosciences

Mathieu Desroches. Complex oscillations with multiple timescales - Application to neuronal dynamics . Dynamical Systems [math.DS]. Universite Pierre et Marie Curie, 2015. ⟨tel-01254956⟩