Thesis Sina VARMAGHANI

The current project aims at developing a method that can stimulate different brains region according to behavioral or physiological observable. The ultimate goal will be to develop the close-loop method. Closed-loop methods are based on the detection of a specific signature in EEG (or other physiological or behavioral measurements), the fast computation of a reliable indicator of the signature and the triggering of an event which could be a TMS pulse or a modified visual stimulation.
We evaluate the robustness and the speed of such methods and develop new
indicators of local and distal excitability that will be simple, robust, and computable within short delays. The second step will be to develop a model-selected marker that can trigger events for either a specific pattern of neurostimulation or a specific perturbation of the visual stimulus display. Each
step will be validated offline at first, and then each indicator (trigger) will be estimated and computed online.

Supervisors :

• Alan CHAUVIN - alan.chauvinuniv-grenoble-alpes.fr (alan[dot]chauvin[at]univ-grenoble-alpes[dot]fr)
• Ronald PHLYPO - ronald.phlypogipsa-lab.grenoble-inp.fr (ronald[dot]phlypo[at]gipsa-lab[dot]grenoble-inp[dot]fr)

Keywords : Robotized TMS,Closed-loop EEG,Visual perceptual decision making,multistable visual perception,