Lotte, Fabien

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

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

Riemannian Approaches in Brain-Computer Interfaces: A Review

Yger, F., Berar, M., & Lotte, F. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 420

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

Brain-Computer Interfaces: Beyond Medical Applications

van Erp, J., Lotte, F., & Tangermann, M. (2012) · Computer

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 362

Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces

Lotte, F. (2015) · Proceedings of the IEEE

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 327

Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design

Lotte, F., Larrue, F., & Mühl, C. (2013) · Frontiers in Human Neuroscience

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 307

Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study

Jeunet, C., Jahanpour, E., & Lotte, F. (2016) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 192

A review of rapid serial visual presentation-based brain–computer interfaces

Lees, S., Dayan, N., Cecotti, H., McCullagh, P., Maguire, L., Lotte, F., & Coyle, D. (2018) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 149

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

Heading for new shores! Overcoming pitfalls in BCI design

Chavarriaga, R., Fried-Oken, M., Kleih, S., Lotte, F., & Scherer, R. (2017) · Brain-Computer Interfaces

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 97

AI in the media and creative industries

Amato, G., Behrmann, M., Bimbot, F., Caramiaux, B., Falchi, F., Garcia, A., Geurts, J., Gibert, J., Gravier, G., Holken, H., et al. (2019) · arXiv

Artificial Intelligence ApplicationsTechnology's Impact on Media

Cited by 46