L. Avanzino, A. Giannini, A. Tacchino, E. Pelosin, P. Ruggeri et al., Motor imagery influences the execution of repetitive finger opposition movements, Neuroscience Letters, vol.466, issue.1, pp.11-15, 2009.
DOI : 10.1016/j.neulet.2009.09.036

M. Jeannerod, Mental imagery in the motor context, Neuropsychologia, vol.33, issue.11, pp.1419-1451, 1995.
DOI : 10.1016/0028-3932(95)00073-C

URL : https://hal.archives-ouvertes.fr/hal-00655242

M. Lotze and U. Halsband, Motor imagery, Journal of Physiology-Paris, vol.99, issue.4-6, pp.386-95, 2006.
DOI : 10.1016/j.jphysparis.2006.03.012

C. Neuper, R. Scherer, M. Reiner, and G. Pfurtscheller, Imagery of motor actions: Differential effects of kinesthetic and visual???motor mode of imagery in single-trial EEG, Cognitive Brain Research, vol.25, issue.3, pp.668-677, 2005.
DOI : 10.1016/j.cogbrainres.2005.08.014

G. Pfurtscheller, F. H. Lopes, and . Silva, Event-related EEG/MEG synchronization and desynchronization: basic principles, Clinical Neurophysiology, vol.110, issue.11, pp.1842-57, 1999.
DOI : 10.1016/S1388-2457(99)00141-8

G. Pfurtscheller and C. Neuper, Motor imagery and direct brain-computer communication, Proceedings of the IEEE, vol.89, issue.7, pp.1123-1134, 2001.
DOI : 10.1109/5.939829

S. Fok, R. Schwartz, M. Wronkiewicz, C. Holmes, J. Zhang et al., An EEG-based brain computer interface for rehabilitation and restoration of hand control following stroke using ipsilateral cortical physiology, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.6277-6280, 2011.
DOI : 10.1109/IEMBS.2011.6091549

Y. Renard, F. Lotte, G. Gibert, M. Congedo, E. Maby et al., OpenViBE: An Open-Source Software Platform to Design, Test, and Use Brain???Computer Interfaces in Real and Virtual Environments, Presence: Teleoperators and Virtual Environments, vol.2008, issue.3, 2010.
DOI : 10.1016/j.patrec.2007.10.009

URL : https://hal.archives-ouvertes.fr/hal-00477153

J. H. Friedman, Regularized Discriminant Analysis, Journal of the American Statistical Association, vol.33, issue.405, pp.165-175, 1989.
DOI : 10.1080/01621459.1989.10478752

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion et al., Scikit-learn: Machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

B. Blankertz, R. Tomioka, S. Lemm, M. Kawanaba, and K. Müller, Optimizing spatial filters for robust EEG single-trial analysis [revealing tricks of the trade], IEEE Signal processing magazine, 2008.