Joint analysis of eye-movements and EEGs using coupled hidden Markov and topic models

Doctoral student: 
Brice OLIVIER
Date de soutenance: 
Wednesday, June 26, 2019
Supervisors: 
Name: 
Jean-Baptiste DURAND
Laboratory: 
LJK
Name: 
Anne GUERIN
Laboratory: 
GIPSA-lab
Name: 
Marianne CLAUSEL
Laboratory: 
LJK
Summary: 

In this PhD thesis, which allies cognitive sciences and statistics, we are interested in jointly modeling and analyzing eye-movement and electroencephalogram (EEG) data which have been acquired on a set of subjects for a press review reading task. Therefore, we could be able to characterize different states or reading strategies given eye-movement data in order to highlight different EEG patterns given this state.