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Domain Machine Learning-Robotics
Domain - extra Brain Computer Interfaces
Year 2010
Starting sept. 2010
Status Open
Subject Unsupervised Learning for Brain Computer Interfaces (BCI)
Thesis advisor SEBAG Michèle
Co-advisors BCIs measure the electro-magnetic currents induced by neuronal activity, at the surface of the skull, and use them to control electronic or mechanical devices (wheelchair, videogame).
BCIs training is usually handled as a supervised statistical learning problem - see the BCI Challenges.
It faces two bottlenecks: i/ the brain is a black box; ii/ which is evolving rapidly.
Laboratory LRI A&O
Collaborations Projet Digiteo: DigiBrain
Partenaires: CEA List et Neurospin
Abstract see attached pdf
Context see link
Objectives
Work program
Extra information
Prerequisite
  • Statistical Learning
or
  • Signal Processing
or
  • Neurosciences
Details
Expected funding Institutional funding
Status of funding Expected
Candidates
user michele-martine.sebag
Created Wednesday 16 of June, 2010 11:17:26 CEST
LastModif Friday 18 of June, 2010 10:55:38 CEST


Ecole Doctorale Informatique Paris-Sud


Directrice
Nicole Bidoit
Assistante
Stéphanie Druetta
Conseiller aux thèses
Dominique Gouyou-Beauchamps

ED 427 - Université Paris-Sud
UFR Sciences Orsay
Bat 650 - aile nord - 417
Tel : 01 69 15 63 19
Fax : 01 69 15 63 87
courriel: ed-info at lri.fr