F
Fabien Lotte
Researcher at L'Abri
Publications - 189
Citations - 11832
Fabien Lotte is an academic researcher from L'Abri. The author has contributed to research in topics: Brain–computer interface & Electroencephalography. The author has an hindex of 42, co-authored 179 publications receiving 9441 citations. Previous affiliations of Fabien Lotte include University of Bordeaux & French Institute for Research in Computer Science and Automation.
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Journal ArticleDOI
A physical learning companion for Mental-Imagery BCI User Training
TL;DR: The first learning companion dedicated to the improvement of MI-BCI user training, PEANUT for Personalized Emotional Agent for Neurotechnology User Training, provided social presence and emotional support, depending on the performance and progress of the user, through interventions combining both pronounced sentences and facial expressions.
Posted ContentDOI
SEREEGA: Simulating Event-Related EEG Activity
TL;DR: SEREEGA is a MATLAB-based open-source toolbox dedicated to the generation of sim-ulated epochs of EEG data that provides a single framework to simulate many different types of EEG recordings, and is modular, extensible, and already includes a number of head models and signals.
Towards a cognitive model of MI-BCI user training
TL;DR: A theoretical model of MI-BCI tasks is proposed, which is the first step towards the design of this full cognitive and computational model that would enable to design adapted and adaptive training protocols, to guide neurophysiological analyses or design informed classi-fiers, among others.
Posted Content
Continuous Mental Effort Evaluation during 3D Object Manipulation Tasks based on Brain and Physiological Signals
Dennis Wobrock,Jérémy Frey,Delphine Graeff,Jean-Baptiste de la Rivière,Julien Castet,Fabien Lotte +5 more
TL;DR: The proposed use of brain and physiological signals to continuously assess the mental effort made by the user to perform 3D object manipulation tasks suggests that this new measure could become a useful addition to the repertoire of available evaluation tools, enabling a finer grain assessment of the ergonomic qualities of a given 3D user interface.
Journal ArticleDOI
Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems : Guidelines Derived from Simulation and Real-World Data.
Andreas Meinel,Sebastián Castaño-Candamil,Benjamin Blankertz,Fabien Lotte,Fabien Lotte,Michael Tangermann +5 more
TL;DR: A generalizable regularization framework for SPoC is provided which may serve as a starting point for implementing advanced techniques in the future and derived operating ranges of regularization hyperparameters for cross-validation based approaches and offer open source code.