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

B. Blankertz, K. R. Müller, G. Curio, T. M. Vaughan, G. Schalk et al., The BCI Competition 2003: Progress and Perspectives in Detection and Discrimination of EEG Single Trials, IEEE Transactions on Biomedical Engineering, vol.51, issue.6, pp.1044-1051, 2004.
DOI : 10.1109/TBME.2004.826692

B. Blankertz, K. Muller, D. Krusienski, G. Schalk, J. Wolpaw et al., The BCI Competition III: Validating Alternative Approaches to Actual BCI Problems, Neural Systems and Rehabilitation Engineering, pp.153-159, 2006.
DOI : 10.1109/TNSRE.2006.875642

A. Capilla, P. Pazo-alvarez, A. Darriba, P. Campo, and J. Gross, Steady-State Visual Evoked Potentials Can Be Explained by Temporal Superposition of Transient Event-Related Responses, PLoS ONE, vol.203, issue.1, p.14543, 2011.
DOI : 10.1371/journal.pone.0014543.s003

G. Pires, U. Nunes, and M. Castelo-branco, Statistical spatial filtering for a P300-based BCI: Tests in able-bodied, and patients with cerebral palsy and amyotrophic lateral sclerosis, Journal of Neuroscience Methods, vol.195, issue.2, pp.270-281, 2011.
DOI : 10.1016/j.jneumeth.2010.11.016

H. Lee and S. Choi, PCA-based linear dynamical systems for multichannel EEG classification, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02., pp.745-749, 2002.
DOI : 10.1109/ICONIP.2002.1198157

C. Guan, M. Thulasidas, and J. Wu, High performance P300 speller for brain-computer interface, Biomedical Circuits and Systems, pp.13-16, 2004.

D. R. Hardoon, S. R. Szedmak, and J. R. Shawe-taylor, Canonical Correlation Analysis: An Overview with Application to Learning Methods, Neural Computation, vol.10, issue.12, pp.2639-2664, 2004.
DOI : 10.1093/biomet/58.3.433

Z. Lin, C. Zhang, W. Wu, and X. Gao, Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs, IEEE Transactions on Biomedical Engineering, vol.54, issue.6, pp.2610-2614, 2006.
DOI : 10.1109/TBME.2006.889197

G. Bin, X. Gao, Z. Yan, B. Hong, and S. Gao, An online multi-channel SSVEP-based brain???computer interface using a canonical correlation analysis method, Journal of Neural Engineering, vol.6, issue.4, 2009.
DOI : 10.1088/1741-2560/6/4/046002

D. Zhang, A. Maye, X. Gao, B. Hong, A. K. Engel et al., An independent brain???computer interface using covert non-spatial visual selective attention, Journal of Neural Engineering, vol.7, issue.1, p.16010, 2010.
DOI : 10.1088/1741-2560/7/1/016010

J. Pan, X. Gao, F. Duan, Z. Yan, and S. Gao, Enhancing the classification accuracy of steady-state visual evoked potential-based brain???computer interfaces using phase constrained canonical correlation analysis, Journal of Neural Engineering, vol.8, issue.3, p.36027, 2011.
DOI : 10.1088/1741-2560/8/3/036027

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, pp.35-53, 2010.
DOI : 10.1016/j.patrec.2007.10.009
URL : https://hal.archives-ouvertes.fr/hal-00477153

Y. Wang and T. Jung, Improving braincomputer interfaces using independent component analysis, Towards Practical Brain-Computer Interfaces, pp.67-83, 2013.