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 | 3463 | 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 | 1888 | 2018 |
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 | 962 | 2010 |
Multi-class Brain Computer Interface Classification by Riemannian Geometry A Barachant, S Bonnet, M Congedo, C Jutten IEEE Transactions on Biomedical Engineering, 1-1, 2011 | 833 | 2011 |
Classification of covariance matrices using a Riemannian-based kernel for BCI applications A Barachant, S Bonnet, M Congedo, C Jutten Neurocomputing 112, 172-178, 2013 | 471 | 2013 |
Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review M Congedo, A Barachant, R Bhatia Brain-Computer Interfaces 4 (3), 155-174, 2017 | 433 | 2017 |
The neural correlates of tinnitus-related distress S Vanneste, M Plazier, E Van Der Loo, P Van de Heyning, M Congedo, ... Neuroimage 52 (2), 470-480, 2010 | 430 | 2010 |
Transfer learning: A Riemannian geometry framework with applications to brain–computer interfaces P Zanini, M Congedo, C Jutten, S Said, Y Berthoumieu IEEE Transactions on Biomedical Engineering 65 (5), 1107-1116, 2017 | 318 | 2017 |
Tinnitus intensity dependent gamma oscillations of the contralateral auditory cortex E van Der Loo, S Gais, M Congedo, S Vanneste, M Plazier, T Menovsky, ... PloS one 4 (10), e7396, 2009 | 305 | 2009 |
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 | 270 | 2020 |
Riemannian geometry applied to BCI classification A Barachant, S Bonnet, M Congedo, C Jutten International conference on latent variable analysis and signal separation …, 2010 | 253 | 2010 |
Neurofeedback improves executive functioning in children with autism spectrum disorders MEJ Kouijzer, JMH de Moor, BJL Gerrits, M Congedo, HT van Schie Research in Autism Spectrum Disorders 3 (1), 145-162, 2009 | 196 | 2009 |
Touch increases autonomic coupling between romantic partners J Chatel-Goldman, M Congedo, C Jutten, JL Schwartz Frontiers in behavioral neuroscience 8, 95, 2014 | 195 | 2014 |
Riemannian procrustes analysis: transfer learning for brain–computer interfaces PLC Rodrigues, C Jutten, M Congedo IEEE Transactions on Biomedical Engineering 66 (8), 2390-2401, 2018 | 187 | 2018 |
Low-resolution electromagnetic tomography neurofeedback M Congedo, JF Lubar, D Joffe IEEE Transactions on Neural Systems and Rehabilitation Engineering 12 (4 …, 2004 | 186 | 2004 |
On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics M Congedo, C Gouy-Pailler, C Jutten Clinical Neurophysiology 119 (12), 2677-2686, 2008 | 176 | 2008 |
A plug&play P300 BCI using information geometry A Barachant, M Congedo arXiv preprint arXiv:1409.0107, 2014 | 157 | 2014 |
The distressed brain: a group blind source separation analysis on tinnitus D De Ridder, S Vanneste, M Congedo PloS one 6 (10), e24273, 2011 | 145 | 2011 |
Classification of movement intention by spatially filtered electromagnetic inverse solutions M Congedo, F Lotte, A Lécuyer Physics in Medicine and Biology 51, 1971-1989, 2006 | 138 | 2006 |
Nonstationary brain source separation for multiclass motor imagery C Gouy-Pailler, M Congedo, C Brunner, C Jutten, G Pfurtscheller IEEE Transactions on Biomedical Engineering 57 (2), 469-478, 2010 | 135 | 2010 |