A review of classification algorithms for EEG-based brain–computer interfaces F Lotte, M Congedo, A Lécuyer, F Lamarche, B Arnaldi Journal of neural engineering 4 (2), R1, 2007 | 3444 | 2007 |
A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update F Lotte, L Bougrain, A Cichocki, M Clerc, M Congedo, A Rakotomamonjy, ... Journal of neural engineering 15 (3), 031005, 2018 | 1903 | 2018 |
Regularizing common spatial patterns to improve BCI designs: unified theory and new algorithms F Lotte, C Guan IEEE Transactions on biomedical Engineering 58 (2), 355-362, 2010 | 1136 | 2010 |
Openvibe: An open-source software platform to design, test, and use brain–computer interfaces in real and virtual environments Y Renard, F Lotte, G Gibert, M Congedo, E Maby, V Delannoy, O Bertrand, ... Presence 19 (1), 35-53, 2010 | 955 | 2010 |
Brain-computer interfaces, virtual reality, and videogames A Lécuyer, F Lotte, RB Reilly, R Leeb, M Hirose, M Slater Computer 41 (10), 66-72, 2008 | 484 | 2008 |
Brain-computer interfaces: beyond medical applications J Van Erp, F Lotte, M Tangermann Computer 45 (4), 26-34, 2012 | 471 | 2012 |
Riemannian approaches in brain-computer interfaces: a review F Yger, M Berar, F Lotte IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (10 …, 2016 | 373 | 2016 |
Flaws in current human training protocols for spontaneous brain-computer interfaces: lessons learned from instructional design F Lotte, F Larrue, C Mühl Frontiers in human neuroscience 7, 568, 2013 | 331 | 2013 |
Signal processing approaches to minimize or suppress calibration time in oscillatory activity-based brain–computer interfaces F Lotte Proceedings of the IEEE 103 (6), 871-890, 2015 | 301 | 2015 |
A tutorial on EEG signal-processing techniques for mental-state recognition in brain–computer interfaces F Lotte Guide to brain-computer music interfacing, 133-161, 2014 | 270 | 2014 |
Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist) T Ros, S Enriquez-Geppert, V Zotev, KD Young, G Wood, ... Brain 143 (6), 1674-1685, 2020 | 268 | 2020 |
Brain–computer interfaces handbook: technological and theoretical advances CS Nam, A Nijholt, F Lotte CRC Press, 2018 | 237 | 2018 |
Two brains, one game: design and evaluation of a multiuser BCI video game based on motor imagery L Bonnet, F Lotte, A Lécuyer IEEE Transactions on Computational Intelligence and AI in games 5 (2), 185-198, 2013 | 216 | 2013 |
Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study C Jeunet, E Jahanpour, F Lotte Journal of neural engineering 13 (3), 036024, 2016 | 203 | 2016 |
Predicting mental imagery-based BCI performance from personality, cognitive profile and neurophysiological patterns C Jeunet, B N’Kaoua, S Subramanian, M Hachet, F Lotte PloS one 10 (12), e0143962, 2015 | 194 | 2015 |
EEG-based workload estimation across affective contexts C Mühl, C Jeunet, F Lotte Frontiers in neuroscience 8, 114, 2014 | 191 | 2014 |
Learning from other subjects helps reducing brain-computer interface calibration time F Lotte, C Guan 2010 IEEE International conference on acoustics, speech and signal …, 2010 | 188 | 2010 |
Combining BCI with virtual reality: towards new applications and improved BCI F Lotte, J Faller, C Guger, Y Renard, G Pfurtscheller, A Lécuyer, R Leeb Towards Practical Brain-Computer Interfaces: Bridging the Gap from Research …, 2013 | 177 | 2013 |
Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates C Jeunet, B N’Kaoua, F Lotte Progress in brain research 228, 3-35, 2016 | 149 | 2016 |
Monitoring pilot’s mental workload using ERPs and spectral power with a six-dry-electrode EEG system in real flight conditions F Dehais, A Duprès, S Blum, N Drougard, S Scannella, RN Roy, F Lotte Sensors 19 (6), 1324, 2019 | 142 | 2019 |