N. Birbaumer, Breaking the silence: Brain-computer interfaces (BCI) for communication and motor control, Psychophysiol, vol.43, pp.517-532, 2006.
DOI : 10.1111/j.1469-8986.2006.00456.x
URL : http://onlinelibrary.wiley.com/doi/10.1111/j.1469-8986.2006.00456.x/pdf

J. R. Wolpaw, N. Birbaumer, D. J. Mcfarland, G. Pfurtscheller, and T. M. Vaughan, Brain-computer interfaces for communication and control, Clin Neurophysiol, vol.113, pp.767-791, 2002.

J. P. Donoghue, Bridging the brain to the world: a perspective on neural interface systems, Neuron, vol.60, pp.511-521, 2008.
DOI : 10.1016/j.neuron.2008.10.037
URL : https://doi.org/10.1016/j.neuron.2008.10.037

N. Gomez-gil and J. , Brain computer interfaces, a review, Sensors, vol.12, pp.1211-1279, 2012.

L. A. Farwell and E. Donchin, Talking off the top of your head: toward a mental prosthesis utilizing eventrelated brain potentials, Electroen Clin Neuro, vol.70, pp.90149-90155, 1988.

J. Stoll, C. Chatelle, O. Carter, C. Koch, S. Laureys et al., Pupil responses allow communication in locked-in syndrome patients, Curr Biol, vol.23, p.23928079, 2013.
DOI : 10.1016/j.cub.2013.06.011
URL : https://doi.org/10.1016/j.cub.2013.06.011

R. Fazel-rezai, B. Z. Allison, C. Guger, E. W. Sellers, S. C. Kleih et al., P300 brain computer interface: current challenges and emerging trends, Front Neuroeng, vol.5, 2012.
DOI : 10.3389/fneng.2012.00014
URL : https://www.frontiersin.org/articles/10.3389/fneng.2012.00014/pdf

M. S. Treder and B. Blankertz, C)overt attention and visual speller design in an ERP-based brain-computer interface, Behav Brain Funct, vol.6, 2010.
DOI : 10.1186/1744-9081-6-28
URL : https://behavioralandbrainfunctions.biomedcentral.com/track/pdf/10.1186/1744-9081-6-28

D. J. Krusienski, E. W. Sellers, F. Cabestaing, S. Bayoudh, D. J. Mcfarland et al., A comparison of classification techniques for the P300 Speller, J Neural Eng, vol.3, p.299, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00521054

P. Brunner, S. Joshi, S. Briskin, J. R. Wolpaw, H. Bischof et al., Does the "P300" speller depend on eye gaze?, J Neural Eng, vol.7, p.56013, 2010.
DOI : 10.1088/1741-2560/7/5/056013
URL : http://europepmc.org/articles/pmc2992970?pdf=render

P. Majaranta, I. S. Mackenzie, A. Aula, and K. Räihä, Effects of feedback and dwell time on eye typing speed and accuracy, Univ Access Inf Soc, vol.5, pp.199-208, 2006.
DOI : 10.1007/s10209-006-0034-z

M. S. Treder, N. M. Schmidt, and B. Blankertz, Gaze-independent brain-computer interfaces based on covert attention and feature attention, J Neural Eng, vol.8, p.66003, 2011.
DOI : 10.1088/1741-2560/8/6/066003
URL : http://iopscience.iop.org/article/10.1088/1741-2560/8/6/066003/pdf

L. Acqualagna and B. Blankertz, Gaze-independent BCI-spelling using rapid serial visual presentation (RSVP), Clin Neurophysiol, vol.124, p.23466266, 2013.
DOI : 10.1016/j.clinph.2012.12.050

A. Riccio, D. Mattia, L. Simione, M. Olivetti, and F. Cincotti, Eye-gaze independent EEG-based brain-computer interfaces for communication, J Neural Eng, vol.9, p.45001, 2012.

P. Yuan, X. Gao, A. B. Wang, Y. Bin, G. Gao et al., A study of the existing problems of estimating the information transfer rate in online brain-computer interfaces, J Neural Eng, vol.10, p.26014, 2013.

V. Gilja, C. Pandarinath, C. H. Blabe, P. Nuyujukian, J. D. Simeral et al., Clinical translation of a high-performance neural prosthesis, Nat Med, 2015.

M. Duvinage, T. Castermans, M. Petieau, T. Hoellinger, G. Cheron et al., Performance of the emotiv epoc headset for P300-based applications, Biomed Eng Online, vol.12, p.56, 2013.

B. Laeng, S. Sirois, and G. Gredebäck, Pupillometry: A window to the preconscious?, Perspect Psychol Sci, vol.7, pp.18-27, 2012.
DOI : 10.1177/1745691611427305

S. Mathôt, L. Van-der-linden, J. Grainger, and F. Vitu, The pupillary response to light reflects the focus of covert visual attention, PLoS ONE, vol.8, p.78168, 2013.

S. Mathôt, E. Dalmaijer, and J. Grainger, Van der Stigchel S. The pupillary light response reflects exogenous attention and inhibition of return, J Vis, vol.14, p.7, 2014.

P. Binda, M. Pereverzeva, and S. O. Murray, Attention to bright surfaces enhances the pupillary light reflex, J Neurosci, vol.33, p.23365255, 2013.

M. Naber, G. A. Alvarez, and K. Nakayama, Tracking the allocation of attention using human pupillary oscillations, Front Psychol, vol.4, 2013.

S. Mathôt and S. Van-der-stigchel, New light on the mind's eye: The pupillary light response as active vision, Curr Dir Psychol Sci, vol.24, pp.374-378, 2015.

E. Astrand, C. Wardak, B. Hamed, and S. , Selective visual attention to drive cognitive brain-machine interfaces: from concepts to neurofeedback and rehabilitation applications, Front Syst Neurosci, vol.8, 2014.

S. Mathôt, J. B. Melmi, and E. Castet, Intrasaccadic perception triggers pupillary constriction, PeerJ, vol.3, pp.1-16, 2015.

J. H. Slooter and D. Van-norren, Visual acuity measured with pupil responses to checkerboard stimuli, Invest Ophth Vis Sci, vol.19, pp.105-108, 1980.

K. Ukai, Spatial pattern as a stimulus to the pupillary system, Journal of the Optical Society of America A, vol.2, pp.1094-1100, 1985.

D. Cousineau, Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method. Tutorial in Quantitative Methods for, Psychology, vol.1, pp.4-45, 2005.

R. Engbert and R. Kliegl, Microsaccades uncover the orientation of covert attention, Vis Res, vol.43, pp.1035-1045, 2003.

B. Laeng and U. Sulutvedt, The eye pupil adjusts to imaginary light, Psychol Sci, vol.25, pp.188-197, 2014.

R. Feinberg and E. Podolak, Latency of pupillary reflex to light stimulation and its relationship to aging. Federal Aviation Agency, 1965.

E. Dalmaijer, Is the low-cost EyeTribe eye tracker any good for research? PeerJ PrePrints, vol.2, 2014.

M. Marchetti, F. Piccione, S. Silvoni, L. Gamberini, and K. Priftis, Covert visuospatial attention orienting in a brain-computer interface for amyotrophic lateral sclerosis patients, Neurorehabil Neural Repair, vol.27, pp.430-438, 2013.

G. Bauer, F. Gerstenbrand, and E. Rumpl, Varieties of the locked-in syndrome, J Neurol, vol.221, pp.77-91, 1979.

S. Mathôt, D. Schreij, J. Theeuwes, and . Opensesame, An open-source, graphical experiment builder for the social sciences, Behav Res Methods, vol.44, pp.314-324, 2012.

J. W. Peirce and . Psychopy, Psychophysics software in Python, J Neurosci Meth, vol.162, pp.8-13, 2007.
DOI : 10.1016/j.jneumeth.2006.11.017
URL : https://doi.org/10.1016/j.jneumeth.2006.11.017

E. Dalmaijer, S. Mathôt, S. Van-der-stigchel, and . Pygaze, An open-source, cross-platform toolbox for minimal-effort programming of eyetracking experiments, Behav Res Methods, vol.46, p.24258321, 2014.
DOI : 10.3758/s13428-013-0422-2
URL : https://hal.archives-ouvertes.fr/hal-01432470

B. Blankertz, G. Dornhege, M. Krauledat, M. Schröder, J. Williamson et al., The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-Spell, Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course, 2006.
DOI : 10.1007/978-3-540-68860-0_4
URL : http://eprints.pascal-network.org/archive/00005094/01/BlaTanPopKraFazDonCurMue08b.pdf

. R-core-team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, 2014.

D. Bates, M. Maechler, B. Bolker, and S. Walker, lme4: Linear mixed-effects models using Eigen and S4, 2015.

A. Kuznetsova, P. B. Brockhoff, R. Christensen, and . Lmertest, Tests in Linear Mixed Effects Models, 2015.