1 Hasselt University, Agoralaan gebouw D, Diepenbeek, 3590, Belgium
2 School of Mathematics & Statistics, University of Sydney, F07, Sydney, 2006, NSW, Australia
The Journal of Mathematical Neuroscience (JMN) 2015, 5:16 doi:10.1186/s13408-015-0029-2
Published: 6 August 2015
We discuss the notion of excitability in 2D slow/fast neural models from a geometric singular perturbation theory point of view. We focus on the inherent singular nature of slow/fast neural models and define excitability via singular bifurcations. In particular, we show that type I excitability is associated with a novel singular Bogdanov–Takens/SNIC bifurcation while type II excitability is associated with a singular Andronov–Hopf bifurcation. In both cases, canards play an important role in the understanding of the unfolding of these singular bifurcation structures. We also explain the transition between the two excitability types and highlight all bifurcations involved, thus providing a complete analysis of excitability based on geometric singular perturbation theory.
AMS Subject Classification: 34E15, 34E17, 34K18, 37N25, 92B25.
Bifurcation theory; Canards; Excitability; Geometric singular perturbation theory; Neural dynamics
Sign up to receive new article alerts from The Journal of Mathematical Neuroscience
Via: Google Alert for Neuroscience