Non-Parametric Synchronization Measures used in EEG and MEG

Marco Congedo. Non-Parametric Synchronization Measures used in EEG and MEG. [Research Report] GIPSA-lab. 2018. 〈hal-01868538〉

The Analysis of Event-Related Potentials

Marco Congedo. The Analysis of Event-Related Potentials. Im C.-H. (eds) Computational EEG Analysis. Methods and Applications. Springer, Singapore , 2018. 〈hal-01867853〉

Multivariate Time-Series Analysis Via Manifold Learning

Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten. Multivariate Time-Series Analysis Via Manifold Learning. IEEE Statistical Signal Processing Workshop (SSP 2018), Jun 2018, Fribourg-en-Brisgau, Germany. IEEE, 2018 IEEE Statistical Signal Processing Workshop (SSP), 2018, 〈https://ssp2018.org/〉. 〈10.1109/SSP.2018.8450771〉. 〈hal-01868167〉

Recommendations for Integrating a P300-Based Brain Computer Interface in Virtual Reality Environments for GamingRecommendation pour Intégrer une Interface Cerveau Machine de type P300 dans un Environnement de Réalité Virtuelle à destination du Jeu Vi

Grégoire Cattan, Cesar Mendoza, Anton Andreev, Marco Congedo. Recommendations for Integrating a P300-Based Brain Computer Interface in Virtual Reality Environments for Gaming. Computers, MDPI, 2018, Special Issue Advances in Mobile Augmented Reality, 7 (2), pp.34. 〈www.mdpi.com〉. 〈10.3390/computers7020034〉. 〈hal-01801151〉

Riemannian Optimization and Approximate Joint Diagonalization for Blind Source Separation

Florent Bouchard, Jerome Malick, Marco Congedo. Riemannian Optimization and Approximate Joint Diagonalization for Blind Source Separation. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2018, 66 (8), pp.2041-2054. 〈10.1109/TSP.2018.2795539〉. 〈hal-01875788〉

A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update

Fabien Lotte, Laurent Bougrain, Andrzej Cichocki, Maureen Clerc, Marco Congedo, et al.. A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update. Journal of Neural Engineering, IOP Publishing, 2018, pp.55. 〈hal-01846433〉

Riemannian Online Algorithms for Estimating Mixture Model Parameters

Paolo Zanini, Salem Said, Yannick Berthoumieu, Marco Congedo, Christian Jutten. Riemannian Online Algorithms for Estimating Mixture Model Parameters. Geometric Science of Information, Nov 2017, Paris, France. Geometric Science of Information, 〈10.1007/978-3-319-68445-1_78〉. 〈hal-01630177〉

Dimensionality Reduction for BCI classification using Riemannian geometry

Pedro Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten. Dimensionality Reduction for BCI classification using Riemannian geometry. 7th Graz Brain-Computer Interface Conference (BCI 2017), Sep 2017, Graz, Austria. 7th Graz Brain-Computer Interface Conference, 〈https://www.tugraz.at/institute/ine/graz-bci-conferences/graz-bci-conference-2017/〉. 〈10.3217/978-3-85125-533-1-16〉. 〈hal-01591258〉

Réduction de dimension pour la Séparation Aveugle de Sources

Florent Bouchard, Pedro Rodrigues, Jérôme Malick, Marco Congedo. Réduction de dimension pour la Séparation Aveugle de Sources. XXVIème colloque GRETSI (GRETSI 2017), Sep 2017, Juan-Les-Pins, France. 2017 - GRETSI - Actes de Colloque. 〈hal-01589766〉

Géométrie Riemannienne appliquée à la réduction de la dimension de signaux EEG pour les interfaces cerveau-machine

Pedro Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten. Géométrie Riemannienne appliquée à la réduction de la dimension de signaux EEG pour les interfaces cerveau-machine. XXVIème colloque GRETSI (GRETSI 2017), Sep 2017, Juan-Les-Pins, France. 2017 - GRETSI - Actes de Colloque, 〈http://gretsi.fr/colloque2017/〉. 〈hal-01591252〉