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Sylvain Chevallier

Showing results (1-10 of 20) with videos related to

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Frontiers in Computational Neuroscience|February 27, 2014
Influence of extracellular oscillations on neural communication: a computational perspectiveZoran Tiganj, Sylvain Chevallier, Eric Monacelli
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyMartin Wimpff, Bruno Aristimunha, Sylvain Chevallier, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEGYuan Yang, Sylvain Chevallier, Joe Wiart, et al.
Journal of Neuroengineering and Rehabilitation|November 8, 2019
SenseJoy, a pluggable solution for assessing user behavior during powered wheelchair driving tasksOlivier Rabreau, Sylvain Chevallier, Luc Chassagne, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary resultsMaria Sayu Yamamoto, Fabien Lotte, Florian Yger, et al.
Neuropsychologia|May 3, 2026
Modality-specific predictive templates in pre-stimulus EEG activityIsabelle Hoxha, Sylvain Chevallier, Arnaud Delorme, et al.
Journal of Neural Engineering|May 22, 2024
A systematic evaluation of Euclidean alignment with deep learning for EEG decodingBruna Junqueira, Bruno Aristimunha, Sylvain Chevallier, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 9, 2020
Riemann-Based Algorithms Assessment for Single- and Multiple-Trial P300 Classification in Non-Optimal EnvironmentsJuan M Chau Delgado, David Achanccaray, Elizabeth R Villota, et al.
Imaging Neuroscience (Cambridge, Mass.)|March 25, 2026
Neurophysiological screening of individual variability for robust decoding in c-VEP-based BCISébastien Velut, Jordy Thielen, Sylvain Chevallier, et al.
The Science of the Total Environment|August 26, 2025
Impact of Surface Ocean CO<sub>2</sub> Atlas (SOCAT) observing network extensions on the quantification of global air-sea CO<sub>2</sub> fluxesThi-Tuyet-Trang Chau, Anna E Dudek, Hernando Ombao, et al.
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Showing results (1-10 of 20) with videos related to

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Pageof 2
Frontiers in Computational Neuroscience|February 27, 2014
Influence of extracellular oscillations on neural communication: a computational perspectiveZoran Tiganj, Sylvain Chevallier, Eric Monacelli
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyMartin Wimpff, Bruno Aristimunha, Sylvain Chevallier, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEGYuan Yang, Sylvain Chevallier, Joe Wiart, et al.
Journal of Neuroengineering and Rehabilitation|November 8, 2019
SenseJoy, a pluggable solution for assessing user behavior during powered wheelchair driving tasksOlivier Rabreau, Sylvain Chevallier, Luc Chassagne, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary resultsMaria Sayu Yamamoto, Fabien Lotte, Florian Yger, et al.
Neuropsychologia|May 3, 2026
Modality-specific predictive templates in pre-stimulus EEG activityIsabelle Hoxha, Sylvain Chevallier, Arnaud Delorme, et al.
Journal of Neural Engineering|May 22, 2024
A systematic evaluation of Euclidean alignment with deep learning for EEG decodingBruna Junqueira, Bruno Aristimunha, Sylvain Chevallier, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 9, 2020
Riemann-Based Algorithms Assessment for Single- and Multiple-Trial P300 Classification in Non-Optimal EnvironmentsJuan M Chau Delgado, David Achanccaray, Elizabeth R Villota, et al.
Imaging Neuroscience (Cambridge, Mass.)|March 25, 2026
Neurophysiological screening of individual variability for robust decoding in c-VEP-based BCISébastien Velut, Jordy Thielen, Sylvain Chevallier, et al.
The Science of the Total Environment|August 26, 2025
Impact of Surface Ocean CO<sub>2</sub> Atlas (SOCAT) observing network extensions on the quantification of global air-sea CO<sub>2</sub> fluxesThi-Tuyet-Trang Chau, Anna E Dudek, Hernando Ombao, et al.
Pageof 2