J. Wolpaw and E. Wolpaw, Brain-computer interfaces: principles and practice, 2012.

G. Müller, T. Curio, and . Dickhaus, Neurophysiological predictor of SMR-based BCI performance, NeuroImage, vol.51, issue.4, 2010.

B. Allison and C. Neuper, Could anyone use a BCI? " in Brain- Computer Interfaces, ser. Human-Computer Interaction, pp.35-54, 2010.

C. Neuper and G. Pfurtscheller, Brain-Computer Interfaces. The Frontiers Collection, 2010, ch. Neurofeedback Training for BCI Control

F. Lotte, F. Larrue, and C. Mühl, Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design, Frontiers in Human Neuroscience, vol.7, issue.568, 2013.
DOI : 10.3389/fnhum.2013.00568
URL : https://hal.archives-ouvertes.fr/hal-00862716

J. Keller, An integrative theory of motivation, volition, and performance, Technology, Instruction, Cognition, and Learning, vol.6, issue.2, pp.79-104, 2008.

C. Mühl, R. Scherer, A. Lécuyer, L. Perronnet, M. Grosse-wentrup et al., Which factors drive successful BCI skill learning, 6th International BCI conference, 2014.

C. Jeunet, A. Cellard, S. Subramanian, M. Hachet, B. N-'kaoua et al., How well can we learn with standard bci training approaches? a pilot study, 6th International BCI Conference, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01052692

H. Hwang, K. Kwon, and C. Im, Neurofeedback-based motor imagery training for brain???computer interface (BCI), Journal of Neuroscience Methods, vol.179, issue.1, pp.150-156, 2009.
DOI : 10.1016/j.jneumeth.2009.01.015

F. Lotte, J. Faller, C. Guger, Y. Renard, G. Pfurtscheller et al., Combining BCI with Virtual Reality: Towards New Applications and Improved BCI, Towards Practical Brain-Computer Interfaces, pp.197-220, 2013.
DOI : 10.1007/978-3-642-29746-5_10
URL : https://hal.archives-ouvertes.fr/hal-00735932

A. Kübler, N. Neumann, J. Kaiser, B. Kotchoubey, T. Hinterberger et al., Braincomputer communication: self-regulation of slow cortical potentials for verbal communication, Arch Phys Med Rehabil, vol.82, p.15331539, 2001.

A. Barbero-jimenez and M. Grosse-wentrup, Biased feedback in braincomputer interfaces, Journal of NeuroEngineering and Rehabilitation, vol.7, issue.7 34, pp.1-4, 2010.

D. Mcfarland, W. Sarnacki, and J. Wolpaw, Electroencephalographic (EEG) control of three-dimensional movement, Journal of Neural Engineering, vol.7, issue.3, 2010.
DOI : 10.1088/1741-2560/7/3/036007

C. Vidaurre and B. Blankertz, Towards a Cure for BCI Illiteracy, Brain Topography, vol.113, issue.1, pp.194-198, 2010.
DOI : 10.1007/s10548-009-0121-6
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874052

E. M. Hammer, S. Halder, B. Blankertz, C. Sannelli, T. Dickhaus et al., Psychological predictors of SMR-BCI performance, Biological Psychology, vol.89, issue.1, pp.80-86, 2012.
DOI : 10.1016/j.biopsycho.2011.09.006

E. V. Friedrich, C. Neuper, and R. Scherer, Whatever Works: A Systematic User-Centered Training Protocol to Optimize Brain-Computer Interfacing Individually, PLoS ONE, vol.127, issue.9, p.76214, 2013.
DOI : 10.1371/journal.pone.0076214.t002

C. Jeunet, F. Lotte, M. Hachet, S. Subramanian, and B. N. Kaoua, Determining personality and cognitive profiles to predict mental imagerybased bci performance

R. B. Zajonc, Social facilitation. Research Center for Group Dynamics, 1965.

L. Bonnet, F. Lotte, and A. Lécuyer, Two Brains, One Game: Design and Evaluation of a Multiuser BCI Video Game Based on Motor Imagery, IEEE Transactions on Computational Intelligence and AI in Games, vol.5, issue.2, pp.185-198, 2013.
DOI : 10.1109/TCIAIG.2012.2237173
URL : https://hal.archives-ouvertes.fr/hal-00784886

R. Leeb, K. Gwak, D. Kim, and J. D. Millan, Freeing the visual channel by exploiting vibrotactile BCI feedback, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp.3093-3096, 2013.
DOI : 10.1109/EMBC.2013.6610195

C. Jeunet, C. Vi, D. Spelmezan, B. N-'kaoua, F. Lotte et al., Tactile feedback for motor-imagery based bci

J. Mercier-ganady, F. Lotte, E. Loup-escande, M. Marchal, and A. Lecuyer, The Mind-Mirror: See your brain in action in your head using EEG and augmented reality, 2014 IEEE Virtual Reality (VR), pp.33-38, 2014.
DOI : 10.1109/VR.2014.6802047
URL : https://hal.archives-ouvertes.fr/hal-01052681

J. Frey, R. Gervais, S. Fleck, F. Lotte, and M. Hachet, Teegi, Proceedings of the 27th annual ACM symposium on User interface software and technology, UIST '14, pp.301-308, 2014.
DOI : 10.1145/2642918.2647368
URL : https://hal.archives-ouvertes.fr/hal-01025621

R. Nkambou, J. Bourdeau, and R. Mizoguchi, Advances in intelligent tutoring systems, 2010.
DOI : 10.1007/978-3-642-14363-2
URL : https://hal.archives-ouvertes.fr/hal-00699845