title: A method for detecting false bifurcations in dynamical systems: application to neural-field models.
abstract: In this article, we present a method for tracking changes in curvature of limit cycle solutions that arise due to inflection points. In keeping with previous literature, we term these changes false bifurcations, as they appear to be bifurcations when considering a Poincaré section that is tangent to the solution, but in actual fact the deformation of the solution occurs smoothly as a parameter is varied. These types of solutions arise commonly in electroencephalogram models of absence seizures and correspond to the formation of spikes in these models. Tracking these transitions in parameter space allows regions to be defined corresponding to different types of spike and wave dynamics, that may be of use in clinical neuroscience as a means to classify different subtypes of the more general syndrome.
authors.affiliation: Department of Engineering Mathematics, University of Bristol, Bristol, UK.
authors.forename: Serafim
authors.initials: S
authors.lastname: Rodrigues
authors.forename: David
authors.initials: D
authors.lastname: Barton
authors.forename: Frank
authors.initials: F
authors.lastname: Marten
authors.forename: Moses
authors.initials: M
authors.lastname: Kibuuka
authors.forename: Gonzalo
authors.initials: G
authors.lastname: Alarcon
authors.forename: Mark P
authors.initials: MP
authors.lastname: Richardson
authors.forename: John R
authors.initials: JR
authors.lastname: Terry
mesh_terms: D000465:Algorithms; D001921:Brain / Q000503:physiopathology*; D004569:Electroencephalography; D004832:Epilepsy, Absence / Q000503:physiopathology*; D006801:Humans; D008959:Models, Neurological; D012815:Signal Processing, Computer-Assisted