Marco CONGEDO
Chargé de Recherche CNRS
Equipe Vision and Brain Signal Processing
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : marco.congedo@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1195
Tél.33 (0)4 76 82 62 52
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Rapport sur la stimulation auditive à usage des interfaces cerveau-machinesReport on Auditory Stimulation in Brain-Computer Interfaces

Grégoire Cattan, Anton Andreev, Cesar Mendoza, Marco Congedo. Rapport sur la stimulation auditive à usage des interfaces cerveau-machines. [Rapport de recherche] Gipsa-lab; IHMTEK. 2019. 〈hal-01970139〉

Riemannian Procrustes Analysis : Transfer Learning for Brain-Computer Interfaces

Pedro Luiz Coelho Rodrigues, Christian Jutten, Marco Congedo. Riemannian Procrustes Analysis : Transfer Learning for Brain-Computer Interfaces. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2018. 〈hal-01971856〉

Analysis of tagging latency when comparing event-related potentialsAnalyse de la latence du processus de taggage lors de la comparaison de potentiel evoqué

Grégoire Cattan, Anton Andreev, Bastien Maureille, Marco Congedo. Analysis of tagging latency when comparing event-related potentials. [Technical Report] Gipsa-Lab; IHMTEK. 2018. 〈hal-01947551〉

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〉

The Impact of Passive Head-Mounted Virtual Reality Devices on the Quality of EEG SignalsImpact des casques de réalité virtuel passifs sur la qualité des signaux EEG

Grégoire Cattan, Anton Andreev, C. Mendoza, Marco Congedo. The Impact of Passive Head-Mounted Virtual Reality Devices on the Quality of EEG Signals. Workshop on Virtual Reality Interaction and Physical Simulation, Apr 2018, Delft, Netherlands. 2018, 〈The Eurographics Association〉. 〈10.2312/vriphys.20181064〉. 〈hal-01774915〉

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. 〈10.1088/1741-2552/aab2f2〉. 〈hal-01846433〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal