RESEARCH TOPICS

One way to better understand brain activities is to be able to analyse a large amount of experimental data such as EEG, MEG, fMRI... More precisely, I develop new techniques to analyse at various scales and in real-time a large amount of noisy physiological data and propose new health solutions (Brain computer-interfaces, sleep disorder...).

NEWS

Organization of CAp 2012 (French conference on Machine Learning).

Organization of NeuroComp 2011 (first French BCI school).

ANR project Keops: Algorithms for modeling the visual system: From natural vision to numerical applications

CNRS NeuroInformatique project 2010-2011: "cortical signals to control a two-finger robotic hand driven by artificial muscles"

Winner of a Brain-Computer Interface competition IV in 2008 on Decoding Finger Flexion from ECoG.

STIC-AmSud project, 2009-2010: Robust single-trial evoked potential detection for brain-computer interfaces using computational intelligence techniques

CNRS NeuroInformatique project 2009-2010: "sensory transduction to perception"

INRIA ADT LOIC 2009-2010: "OpenViBE, a software for Brain-Computer Interfaces and Real Time Neuroscience: interoperability and design of new scenarios"

PRST MISN action 2009-2010: "P300-based BCI for children with motor disabilities"