J. R. Wolpaw, N. Birbaumer, D. J. Mcfarland, G. Pfurtscheller, and T. M. Vaughan, Brain???computer interfaces for communication and control, Clinical Neurophysiology, vol.113, issue.6, pp.767-791, 2002.
DOI : 10.1016/S1388-2457(02)00057-3

G. Schalk, J. Kubanek, K. J. Miller, N. R. Anderson, E. C. Leuthardt et al., Decoding two-dimensional movement trajectories using electrocorticographic signals in humans, Journal of Neural Engineering, vol.4, issue.3, pp.264-275, 2007.
DOI : 10.1088/1741-2560/4/3/012

J. C. Sanchez, A. Gunduz, P. R. Carney, and J. C. Principe, Extraction and localization of mesoscopic motor control signals for human ECoG neuroprosthetics, Journal of Neuroscience Methods, vol.167, issue.1, pp.63-81, 2008.
DOI : 10.1016/j.jneumeth.2007.04.019

C. M. Chin, M. R. Popovic, T. Cameron, A. Lozano, and R. Chen, Identification of Arm Movements using Electrocorticograhpic Signals, 3rd International IEEE/EMBS Conference on Neural Engineering, pp.196-199, 2007.

T. Pistol, T. Ball, A. S. Bonhage, A. Qertsen, and C. Mehring, Prediction of arm movement trajectories from ECoG-recordings in humans, Journal of Neuroscience Methods, vol.167, issue.1, pp.105-114, 2008.
DOI : 10.1016/j.jneumeth.2007.10.001

E. Asano, C. Juhasz, A. Shah, O. Muzik, D. C. Chugani et al., Origin and Propagation of Epileptic Spasms Delineated on Electrocorticography, Epilepsia, vol.45, issue.7, pp.1086-1097, 2005.
DOI : 10.1016/S0387-7604(01)00305-9

K. J. Miller and G. Schalk, Prediction of Finger Flexion: 4th Brain- Computer Interface Data Competition

G. Schalk, D. J. Mcfarland, T. Hinterberger, N. Birbaumer, and J. R. Wolpaw, BCI2000: A General-Purpose Brain-Computer Interface (BCI) System, IEEE Transactions on Biomedical Engineering, vol.51, issue.6, pp.1034-1043, 2004.
DOI : 10.1109/TBME.2004.827072

J. H. Friedman, Multivariate Adaptive Regression Splines, The Annals of Statistics, vol.19, issue.1, pp.1-67, 1991.
DOI : 10.1214/aos/1176347963
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.382.970

M. A. Hall, Correlation-based Feature Selection for Machine Learning, 1999.