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hal-02166934v1  Conference papers
Sébastien Rimbert, Philippe Guerci, Nathalie Gayraud, Claude Meistelman, Laurent Bougrain. Innovative Brain-Computer Interface based on motor cortex activity to detect accidental awareness during general anesthesia
IEEE SMC 2019 - IEEE International Conference on Systems, Man, and Cybernetics, Oct 2019, Bari, Italy
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hal-01287636v1  Conference papers
Cecilia Lindig-León, Nathalie Gayraud, Laurent Bougrain, Maureen Clerc. Comparison of Hierarchical and Non-Hierarchical Classification for Motor Imagery Based BCI Systems
The Sixth International Brain-Computer Interfaces Meeting, May 2016, Pacific Groove, United States
hal-03035415v1  Poster communications
Sébastien Rimbert, Nathalie Gayraud, Laurent Bougrain. Towards a new passive Brain-computer interface to detect accidental awareness during general anesthesia
Journées CORTICO 2019 - COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, Mar 2019, Lille, France
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hal-01407759v1  Conference papers
Nathalie Gayraud, Nathanael Foy, Maureen Clerc. A Separability Marker Based on High-Dimensional Statistics for Classification Confidence Assessment
IEEE International Conference on Systems, Man, and Cybernetics , Oct 2016, Budapest, Hungary
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hal-01737366v2  Conference papers
Nathalie Gayraud, Guillermo Gallardo, Maureen Clerc, Demian Wassermann. Solving the Cross-Subject Parcel Matching Problem: Comparing Four Methods Using Extrinsic Connectivity
OHBM 2018, Jun 2018, Singapore, Singapore
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hal-01878015v1  Conference papers
Federica Turi, Nathalie Gayraud, Maureen Clerc. Zero-calibration cVEP BCI using word prediction: a proof of concept
BCI 2018 - 7th International BCI Meeting, May 2018, Pacific Grove, California, United States
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hal-02844024v1  Preprints, Working Papers, ...
Federica Turi, Nathalie Gayraud, Maureen Clerc. Auto-calibration of c-VEP BCI by word prediction
2020
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hal-01889864v1  Conference papers
Sébastien Rimbert, Nathalie Gayraud, Maureen Clerc, Stéphanie Fleck, Laurent Bougrain. Can the MIQ-RS questionnaire be used to estimate the performance of a MI-based BCI?
2018 Seventh International BCI Meeting, May 2018, Pacific Grove, United States
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tel-02100593v1  Theses
Nathalie Gayraud. Adaptive machine learning methods for event related potential-based brain computer interfaces
Signal and Image processing. Université Côte d'Azur, 2018. English. ⟨NNT : 2018AZUR4231⟩
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hal-01990935v1  Journal articles
Sébastien Rimbert, Nathalie Gayraud, Laurent Bougrain, Maureen Clerc, Stéphanie Fleck. Can a Subjective Questionnaire Be Used as Brain-Computer Interface Performance Predictor?
Frontiers in Human Neuroscience, Frontiers, 2019, 12, pp.11. ⟨10.3389/fnhum.2018.00529⟩
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hal-02159777v1  Journal articles
Sébastien Rimbert, Pierre Riff, Nathalie Gayraud, Denis Schmartz, Laurent Bougrain. Median Nerve Stimulation Based BCI: A New Approach to Detect Intraoperative Awareness During General Anesthesia
Frontiers in Neuroscience, Frontiers, 2019, 13, pp.13. ⟨10.3389/fnins.2019.00622⟩
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hal-01935684v1  Conference papers
Guillermo Gallardo, Nathalie Gayraud, Rachid Deriche, Maureen Clerc, Samuel Deslauriers-Gauthier et al.  Solving the Cross-Subject Parcel Matching Problem using Optimal Transport
International Conference on Medical Image Computing and Computer-Assisted Intervention 2018, Sep 2018, Granada, Spain
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hal-03035377v1  Poster communications
Sébastien Rimbert, Nathalie Gayraud, Maureen Clerc, Stéphanie Fleck, Laurent Bougrain. Can the MIQ-RS questionnaire be used to estimate the performance of a MI-based BCI?
Journées CORTICO 2018 - COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, Apr 2018, Toulouse, France