Marco Congedo
Marco Congedo
CNRS (French National Centre for Scientific Research), Grenoble Alpes University, Grenoble INP
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
Riemannian geometry applied to BCI classification
A Barachant, S Bonnet, M Congedo, C Jutten
International conference on latent variable analysis and signal separation …, 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
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
Touch increases autonomic coupling between romantic partners
J Chatel-Goldman, M Congedo, C Jutten, JL Schwartz
Frontiers in behavioral neuroscience 8, 95, 2014
Low-resolution electromagnetic tomography neurofeedback
M Congedo, JF Lubar, D Joffe
IEEE Transactions on Neural Systems and Rehabilitation Engineering 12 (4 …, 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
A plug&play P300 BCI using information geometry
A Barachant, M Congedo
arXiv preprint arXiv:1409.0107, 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
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
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
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