C. J. Bell, P. Shenoy, R. Chalodhorn, and R. P. Rao, Control of a humanoid robot by a noninvasive brain???computer interface in humans, Journal of Neural Engineering, vol.5, issue.2, 2008.
DOI : 10.1088/1741-2560/5/2/012

J. P. Bresciani, M. O. Ernst, K. Drewing, G. Bouyer, V. Maury et al., Feeling what you hear: auditory signals can modulate tactile tap perception, Experimental Brain Research, vol.67, issue.2, pp.172-180, 2005.
DOI : 10.1007/s00221-004-2128-2

URL : https://hal.archives-ouvertes.fr/hal-00342908

G. G. Briggs and R. D. Nebes, Patterns of Hand Preference in a Student Population, Cortex, vol.11, issue.3, pp.230-238, 1975.
DOI : 10.1016/S0010-9452(75)80005-0

B. Choi, J. , and S. , A Low-Cost EEG System-Based Hybrid Brain-Computer Interface for Humanoid Robot Navigation and Recognition, PLoS ONE, vol.167, issue.1, 2013.
DOI : 10.1371/journal.pone.0074583.s001

A. Curtin, H. Ayaz, Y. Liu, P. A. Shewokis, and B. Onaral, A P300-based EEG-BCI for spatial navigation control, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3841-3844, 2012.
DOI : 10.1109/EMBC.2012.6346805

N. David, New frontiers in the neuroscience of the sense of agency, Frontiers in Human Neuroscience, vol.6, 2012.
DOI : 10.3389/fnhum.2012.00161

C. Escolano, J. M. Antelis, and J. Minguez, A Telepresence Mobile Robot Controlled With a Noninvasive Brain–Computer Interface, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol.42, issue.3, pp.793-804, 2011.
DOI : 10.1109/TSMCB.2011.2177968

C. Escolano, R. Murguialday, A. Matuz, T. Birbaumer, N. Minguez et al., A telepresence robotic system operated with a P300-based braincomputer interface: initial tests with ALS patients, Conf. Proc. IEEE Eng. Med. Biol. Soc, pp.4476-4480, 2010.

E. V. Friedrich, C. Neuper, and R. Scherer, Photic-and pattern-induced seizures: a review for the Epilepsy Foundation Frontiers in Neurorobotics www.frontiersin.org of America Working Group Whatever works: a systematic user-centered training protocol to optimize brain-computer interfacing individually, Epilepsia PLoS ONE, vol.46, issue.8, pp.1426-1441, 2013.

E. V. Friedrich, R. Scherer, K. Sonnleitner, and C. Neuper, Impact of auditory distraction on user performance in a brain???computer interface driven by different mental tasks, Clinical Neurophysiology, vol.122, 2003.
DOI : 10.1016/j.clinph.2011.03.019

O. Friman, I. Volosyak, and A. Gräser, Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces, IEEE Transactions on Biomedical Engineering, vol.54, issue.4, pp.742-750, 2006.
DOI : 10.1109/TBME.2006.889160

I. Gallagher, Philosophical conceptions of the self: implications for cognitive science, Trends in Cognitive Sciences, vol.4, issue.1, pp.14-21, 2000.
DOI : 10.1016/S1364-6613(99)01417-5

P. Gergondet, A. Kheddar, and C. Hintermüller, Multitask Humanoid Control with a Brain-Computer Interface: User Experiment with HRP-2, Exp. Robot, vol.88, pp.215-229, 2013.
DOI : 10.1007/978-3-319-00065-7_16

URL : https://hal.archives-ouvertes.fr/lirmm-00781275

C. Guger, B. Z. Allison, B. Großwindhager, R. Prückl, C. Hintermüller et al., How Many People Could Use an SSVEP BCI?, Frontiers in Neuroscience, vol.6, 2012.
DOI : 10.3389/fnins.2012.00169

URL : http://doi.org/10.3389/fnins.2012.00169

C. Guger, S. Daban, E. Sellers, C. Holzner, G. Krausz et al., How many people are able to control a P300-based brain???computer interface (BCI)?, Neuroscience Letters, vol.462, issue.1, pp.94-98, 2009.
DOI : 10.1016/j.neulet.2009.06.045

C. Guger, G. Edlinger, W. Harkam, I. Niedermayer, and G. Pfurtscheller, How many people are able to operate an eeg-based brain-computer interface (bci)?, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.11, issue.2, pp.145-147, 2003.
DOI : 10.1109/TNSRE.2003.814481

P. Haggard, S. Clark, and J. Kalogeras, Voluntary action and conscious awareness, Nature Neuroscience, vol.5, issue.4, pp.382-385, 2002.
DOI : 10.1038/nn827

R. Leeb, D. Friedman, G. R. Müller-putz, R. Scherer, M. Slater et al., Self-Paced (Asynchronous) BCI Control of a Wheelchair in Virtual Environments: A Case Study with a Tetraplegic, Computational Intelligence and Neuroscience, vol.10, issue.2, pp.79642-79652, 2007.
DOI : 10.1109/TBME.2004.827086

R. Leeb, F. Lee, C. Keinrath, R. Scherer, H. Bischof et al., Brain–Computer Communication: Motivation, Aim, and Impact of Exploring a Virtual Apartment, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.15, issue.4, pp.473-482, 2007.
DOI : 10.1109/TNSRE.2007.906956

R. Leeb and G. Pfurtscheller, Walking through a virtual city by thought, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4503-4506, 2004.
DOI : 10.1109/IEMBS.2004.1404251

F. Menzer, A. Brooks, P. Halje, C. Faller, M. Vetterli et al., Feeling in control of your footsteps: Conscious gait monitoring and the auditory consequences of footsteps, Cognitive Neuroscience, vol.43, issue.3, pp.184-192, 1080.
DOI : 10.1002/mds.21720

J. D. Millán, R. Rupp, G. R. Müller-putz, R. Murray-smith, C. Giugliemma et al., Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges, Frontiers in Neuroscience, vol.1, p.161, 2010.
DOI : 10.3389/fnins.2010.00161

M. M. Moore, Real-world applications for brain~computer interface technology, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.11, issue.2, pp.162-165, 2003.
DOI : 10.1109/TNSRE.2003.814433

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.7479

M. Naeem, C. Brunner, R. Leeb, B. Graimann, and G. Pfurtscheller, Seperability of four-class motor imagery data using independent components analysis, Journal of Neural Engineering, vol.3, issue.3, pp.208-216, 2006.
DOI : 10.1088/1741-2560/3/3/003

G. Onose, C. Grozea, A. Anghelescu, C. Daia, C. J. Sinescu et al., On the feasibility of using motor imagery EEG-based brain???computer interface in chronic tetraplegics for assistive robotic arm control: a clinical test and long-term post-trial follow-up, Spinal Cord, vol.67, issue.8, pp.599-608, 2012.
DOI : 10.1097/00001756-200212200-00025

G. Pfurtscheller, R. Leeb, C. Keinrath, D. Friedman, C. Neuper et al., Walking from thought, Brain Research, vol.1071, issue.1, pp.145-152, 2006.
DOI : 10.1016/j.brainres.2005.11.083

R. Prueckl and C. Guger, A brain-computer interface based on steady state visual evoked potentials for controlling a robot Available online at, Bio-Inspired Syst. Comput. Ambient, vol.10, pp.1-8978, 1007.

A. Sato and A. Yasuda, Illusion of sense of self-agency: discrepancy between the predicted and actual sensory consequences of actions modulates the sense of self-agency, but not the sense of self-ownership, Cognition, vol.94, issue.3, pp.241-255, 2005.
DOI : 10.1016/j.cognition.2004.04.003

M. Synofzik, G. Vosgerau, and A. Newen, Beyond the comparator model: A multifactorial two-step account of agency, Consciousness and Cognition, vol.17, issue.1, 2008.
DOI : 10.1016/j.concog.2007.03.010

M. C. Vinding, M. N. Pedersen, and M. Overgaard, Unravelling intention: Distal intentions increase the subjective sense of agency, Consciousness and Cognition, vol.22, issue.3, 2013.
DOI : 10.1016/j.concog.2013.05.003

D. M. Wolpert and M. S. Landy, Motor control is decision-making, Current Opinion in Neurobiology, vol.22, issue.6, 2012.
DOI : 10.1016/j.conb.2012.05.003

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3434279

T. O. Zander, M. Gaertner, C. Kothe, and R. Vilimek, Combining Eye Gaze Input With a Brain???Computer Interface for Touchless Human???Computer Interaction, International Journal of Human-Computer Interaction, vol.21, issue.1, pp.38-51, 1080.
DOI : 10.1016/S1388-2457(02)00057-3