4.5 Article

Averaging, Folded Singularities, and Torus Canards: Explaining Transitions between Bursting and Spiking in a Coupled Neuron Model

Journal

SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
Volume 14, Issue 4, Pages 1808-1844

Publisher

SIAM PUBLICATIONS
DOI: 10.1137/140981770

Keywords

geometric singular perturbation theory; multiple time scales; averaging; folded singularities; torus canards; bursting; neuronal dynamics

Funding

  1. ARC [FT120100309]
  2. NSF DMS awards [1021701, 1312508]
  3. University of Pittsburgh Center for International Studies
  4. Australian Research Council [FT120100309] Funding Source: Australian Research Council
  5. Direct For Mathematical & Physical Scien
  6. Division Of Mathematical Sciences [1312508] Funding Source: National Science Foundation
  7. Division Of Mathematical Sciences
  8. Direct For Mathematical & Physical Scien [1021701] Funding Source: National Science Foundation

Ask authors/readers for more resources

In this work, we identify generic bifurcation scenarios corresponding to transitions between bursting and tonic spiking solutions in a model for a coupled pair of burst-capable neurons, and we elucidate the central role of folded singularities in these scenarios. The folded singularities in our work arise in the context of fast-slow averaging, and hence our results link with the study of torus canards, a recently identified class of ordinary differential equation (ODE) solutions featuring oscillatory excursions along repelling structures in phase space [J. Burke et al., J. Math. Neurosci., 2 (2012), pp. 1-30]; in particular, our work extends this study to systems featuring two slow variables and symmetry and goes significantly beyond the analysis of activity transitions presented by Best et al. [SIAM J. Appl. Dyn. Syst., 4 (2005), pp. 1107-1139].

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available