Spatiotemporal canards in neural field equations

Abstract : Canards are special solutions to ordinary differential equations that follow invariant repelling slow manifolds for long time intervals. In realistic biophysical single-cell models, canards are responsible for several complex neural rhythms observed experimentally, but their existence and role in spatially extended systems is largely unexplored. We identify and describe a type of coherent structure in which a spatial pattern displays temporal canard behavior. Using interfacial dynamics and geometric singular perturbation theory, we classify spatiotemporal canards and give conditions for the existence of folded-saddle and folded-node canards. We find that spatiotemporal canards are robust to changes in the synaptic connectivity and firing rate. The theory correctly predicts the existence of spatiotemporal canards with octahedral symmetry in a neural field model posed on the unit sphere.
Type de document :
Article dans une revue
Physical Review E , American Physical Society (APS), 2017, 95 (4), pp.042205. 〈〉. 〈10.1103/PhysRevE.95.042205〉
Liste complète des métadonnées
Contributeur : Mathieu Desroches <>
Soumis le : lundi 10 juillet 2017 - 10:44:40
Dernière modification le : jeudi 11 janvier 2018 - 16:54:49




Daniele Avitabile, Mathieu Desroches, Edgar Knobloch. Spatiotemporal canards in neural field equations. Physical Review E , American Physical Society (APS), 2017, 95 (4), pp.042205. 〈〉. 〈10.1103/PhysRevE.95.042205〉. 〈hal-01558887〉



Consultations de la notice