Publications in international journals
- Aline Roc, Léna Kolodzienski, Pauline Dreyer, Aurélien Appriou, Thibaut Monseigne, Fabien Lotte, Evolution of users’ subjective experience over three training sessions with an EEG Motor-Imagery Brain–Computer Interface (MI-BCI), Brain Research, 2026 – pdf
- Thibault de Surrel, Sylvain Chevallier, Fabien Lotte, Florian Yger. Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices. Transactions on Machine Learning Research Journal, 2025 – pdf
- David E Carlson, Ricardo Chavarriaga, Yiling Liu, Fabien Lotte, Bao-Liang Lu. The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering. Journal of Neural Engineering, 2025, 22 (2), pp.021002 – pdf
Publications in international book chapters
- François Cabestaing, Sylvain Chevallier. From signals to decisions in noninvasive neural technologies. Davide Valeriani; Theresa M. Vaughan. Neural Interfaces, Academic Press; Elsevier, pp.77-90, 2025 –pdf
- Fabien Lotte, Pauline Dreyer, Sébastien Rimbert, David Trocellier, Marc Welter. How to build a brain–computer interface from beginning to end. Neural Interfaces, Elsevier, pp.115-141, 2025 – pdf
Publications in international conference
- Thibault de Surrel, Florian Yger, Fabien Lotte, Sylvain Chevallier. A probabilistic view on Riemannian machine learning models for SPD matrices. GSI 2025 – 7th International Conference on Geometric Science of Information, Oct 2025, Saint Malo, France. pdf
- Thibault de Surrel, Tristan Venot, Marie-Constance Corsi, Florian Yger. Interpretability of Riemannian tools used in brain computer interfaces. MLSP 2025 – 35th IEEE International Workshop on Machine Learning for Signal Processing, Aug 2025, Istanbul, Turkey – pdf
- Thibault de Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger. Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices. ICML 2025 – 42nd International Conference on Machine Learning, Jul 2025, Vancouver, Canada. – pdf
- Pauline Dreyer, Raphaëlle N Roy, Fabien Lotte. Building a taxonomy of variability factors in active BCI. BCI 2025 – 11th International BCI Meeting Building Momentum: Fostering Collaboration in BCI, Jun 2025, Banff, Canada – pdf
- David Trocellier, Bernard N’Kaoua, Fabien Lotte. BCI classifiers integrating measures of variability factors: a mini-review. NeuroAdaptive Technology Conference 2025 (NAT’25), Apr 2025, Berlin, Germany – pdf
- Sébastien Velut, Sylvain Chevallier, Marie-Constance Corsi, Frédéric Dehais. “Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface“. ESANN 2024 – European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2024, Bruges (Belgium). pp.571-576, ⟨10.14428/esann/2024.ES2024-112⟩ – pdf
- Jaime Riascos, Marta Molinas, Fabien Lotte. “Machine Learning Methods for BCI: challenges, pitfalls and promises”. ESANN 2024 – European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2024, Bruges, Belgium. – pdf
- Pauline Dreyer, Aline Roc, David Trocellier, Marc Welter, Raphaëlle N Roy, Fabien Lotte, “Exploring EOG markers of fatigue during motor imagery BCI use“. INE – 9th Graz BCI Conference 2024, Sep 2024, Graz, Austria – pdf
- Thibault de Surrel, Sylvain Chevallier, Fabien Lotte, Florian Yger. “Averaging trajectories on the manifold of symmetric positive definite matrices”. EUSIPCO 2024 – 32nd European Signal Processing Conference, Aug 2024, Lyon, France – pdf
- David Trocellier, Bernard N’Kaoua, Fabien Lotte, “Visual cues can bias EEG Deep Learning models“. In Neuroergonomics 2024-The 5th International Conference, Bordeaux, France, 2024 – pdf
Scientific outreach
- Florian Yger, “IA et cerveau : connexion en cours…“, Festival Pint of Science 2025, “IA et santé : comprendre le corps et lire l’esprit“
- Thibault de Surrel, Ma thèse en 180 secondes – finale PSL édition 2025