Wild oscillations in a nonlinear neuron model with resets: (II) Mixed-mode oscillations
Jonathan E. Rubin, Justyna Signerska-Rynkowska, Jonathan Touboul and, Alexandre Vidal

TL;DR
This paper investigates mixed-mode oscillations in a hybrid neuronal model, revealing how the interplay of continuous dynamics and resets generates complex oscillatory patterns and classifying these behaviors geometrically.
Contribution
It introduces a novel geometric and dynamical systems framework for understanding MMOs in hybrid neuron models, emphasizing the role of invariant manifolds and a singular adaptation map.
Findings
MMOs arise from the hybrid structure of the model.
A classification of reset points associated with small oscillations.
Complex behaviors are analyzed using rotation theory for discontinuous maps.
Abstract
This work continues the analysis of complex dynamics in a class of bidimensional nonlinear hybrid dynamical systems with resets modeling neuronal voltage dynamics with adaptation and spike emission. We show that these models can generically display a form of mixed-mode oscillations (MMOs), which are trajectories featuring an alternation of small oscillations with spikes or bursts (multiple consecutive spikes). The mechanism by which these are generated relies fundamentally on the hybrid structure of the flow: invariant manifolds of the continuous dynamics govern small oscillations, while discrete resets govern the emission of spikes or bursts, contrasting with classical MMO mechanisms in ordinary differential equations involving more than three dimensions and generally relying on a timescale separation. The decomposition of mechanisms reveals the geometrical origin of MMOs, allowing a…
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Taxonomy
Topicsstochastic dynamics and bifurcation · Nonlinear Dynamics and Pattern Formation · Photoreceptor and optogenetics research
