Mahnaz Asgharpour
Azad university, Iran
Title: A New Bifurcation Parameter in a Modified Huber-Braun Model
Biography
Biography: Mahnaz Asgharpour
Abstract
Thermally sensitive neurons represent a bursting-spiking activity which is characterized by fast repetitive spiking trains of action potentials followed by quiescent periods. Synchronization of this activity in a network of coupled spiking neurons such as the epileptogenic zone in the brain may cause some neurological disorders such as epileptic seizures. The aim of this paper is to introduce a new algorithm for prediction the spiking onset in a model of an epileptic neuron and we try to use some parameters for feature extraction in our simulations which are potentially applicable in the non-invasive brain stimulation techniques such as repetitive transcranial magnetic stimulation (rTMS). In this regard, a modified Huber-Braun model of a thermally sensitive neuron exposed to external rTMS-induced voltages is presented. Applying the Chaos theory, the bifurcation diagram of a modified Huber-Braun model with a novel bifurcation parameter has been represented. Then we used the time at which the period doubling bifurcation is started in order to approximate the seizure onset in the modified model.
