Congedo, Marco

A review of classification algorithms for EEG-based brain–computer interfaces

Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., & Arnaldi, B. (2007) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 2,665

A review of classification algorithms for EEG-based brain–computer interfaces: A 10 year update

Lotte, F., Bougrain, L., Cichocki, A., Clerc, M., Congedo, M., Rakotomamonjy, A., & Yger, F. (2018) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 2,239

Multiclass Brain–Computer Interface Classification by Riemannian Geometry

Barachant, A., Bonnet, S., Congedo, M., & Jutten, C. (2012) · IEEE Transactions on Biomedical Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 878

OpenViBE: An Open-Source Software Platform to Design, Test, and Use Brain–Computer Interfaces in Real and Virtual Environments

Renard, Y., Lotte, F., Gibert, G., Congedo, M., Maby, E., Delannoy, V., Bertrand, O., & Lécuyer, A. (2010) · Presence: Teleoperators and Virtual Environments

EEG and Brain-Computer InterfacesVirtual Reality Applications and Impacts

Cited by 830

Classification of covariance matrices using a Riemannian-based kernel for BCI applications

Barachant, A., Bonnet, S., Congedo, M., & Jutten, C. (2013) · Neurocomputing

EEG and Brain-Computer InterfacesMuscle activation and electromyography studies

Cited by 493

Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review

Congedo, M., Barachant, A., & Bhatia, R. (2017) · Brain-Computer Interfaces

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 456

Transfer Learning: A Riemannian Geometry framework with applications to Brain-Computer Interfaces

Zanini, P., Congedo, M., Jutten, C., Said, S., & Berthoumieu, Y. (2018) · IEEE Transactions on Biomedical Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 412

Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)

Ros, T., Enriquez-Geppert, S., Zotev, V., Young, K. D., Wood, G., Whitfield-Gabrieli, S., Wan, F., Vuilleumier, P., Vialatte, F., Van De Ville, D., et al. (2020) · Brain

EEG and Brain-Computer InterfacesMeta-analysis and systematic reviews

Cited by 399

Riemannian geometry applied to BCI classification

Barachant, A., Bonnet, S., Congedo, M., & Jutten, C. (2010) · Lecture notes in computer science

EEG and Brain-Computer InterfacesCognitive Computing and Networks

Cited by 233

Touch increases autonomic coupling between romantic partners

Chatel-Goldman, J., Congedo, M., Jutten, C., & Schwartz, J.-L. (2014) · Frontiers in Behavioral Neuroscience

Tactile and Sensory InteractionsAction Observation and Synchronization

Cited by 135

Neurofeedback: One of today's techniques in psychiatry?

Arns, M., Batail, J.-M., Bioulac, S., Congedo, M., Daudet, C., Drapier, D., Fovet, T., Jardri, R., Le-Van-Quyen, M., Lotte, F., et al. (2017) · L'Encéphale

EEG and Brain-Computer InterfacesAttention Deficit Hyperactivity Disorder

Cited by 117

A Plug&Play P300 BCI Using Information Geometry

Barachant, A., & Congedo, M. (2014) · arXiv

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 102

Differentiating a Network of Executive Attention: Loreta Neurofeedback in Anterior Cingulate and Dorsolateral Prefrontal Cortices

Cannon, R., Congedo, M., Lubar, J., & Hutchens, T. (2009) · International Journal of Neuroscience

Neural and Behavioral Psychology StudiesEEG and Brain-Computer Interfaces

Cited by 74

A New Generation of Brain-Computer Interface Based on Riemannian Geometry

Congedo, M., Barachant, A., & Andreev, A. (2013) · arXiv

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 69