Boosting Brain-Computer Communication with high Quality User Training

Rezultaty

Some data collected during this project will be made available to the research community as open data

Publikacje

Workshops of the seventh international brain-computer interface meeting: not getting lost in translation

Autorzy: Huggins, Jane E.; Guger, Christoph; Aarnoutse, Erik; Allison, Brendan; Anderson, Charles W.; Bedrick, Steven; Besio, Walter; Chavarriaga, Ricardo; Collinger, Jennifer L.; Do, An H.; Herff, Christian; Hohmann, Matthias; Kinsella, Michelle; Lee, Kyuhwa; Lotte, Fabien; Müller-Putz, Gernot; Nijholt, Anton; Pels, Elmar; Peters, Betts; Putze, Felix; Rupp, Rüdiger; Schalk, Gerwin; Scott, Stephanie; Tan
Opublikowane w: Brain-Computer Interfaces, Numer 2, 2019, ISSN 2326-2621
Wydawca: Taylor & Francis
DOI: 10.1080/2326263x.2019.1697163

Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies

Autorzy: Léa Pillette, Fabien Lotte, Bernard N’Kaoua, Pierre-Alain Joseph, Camille Jeunet, Bertrand Glize
Opublikowane w: NeuroImage: Clinical, Numer 28, 2020, Strona(/y) 102417, ISSN 2213-1582
Wydawca: Elsevier BV
DOI: 10.1016/j.nicl.2020.102417

BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification

Autorzy: Aurélien Appriou, Léa Pillette, David Trocellier, Dan Dutartre, Andrzej Cichocki, Fabien Lotte
Opublikowane w: MDPI Sensors, 2021, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21175740

A review of user training methods in brain computer interfaces based on mental tasks

Autorzy: Aline Roc, Lea Pillette, Jelena Mladenovic, Camille Benaroch, Bernard N’Kaoua, Camille Jeunet, Fabien Lotte
Opublikowane w: Journal of Neural Engineering, Numer 18/1, 2021, Strona(/y) 011002, ISSN 1741-2560
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1741-2552/abca17

Experimenters Influence on Mental-Imagery based Brain-Computer Interface User Training

Autorzy: Pillette, Léa; Roc, Aline; N'Kaoua, Bernard; Lotte, Fabien
Opublikowane w: International Journal of Human-Computer Studies, Numer 4, 2021, ISSN 1071-5819
Wydawca: Academic Press

When should MI-BCI feature optimization include prior knowledge, and which one?

Autorzy: Camille Benaroch; Maria Sayu Yamamoto; Aline Roc; Pauline Dreyer; Camille Jeunet; Fabien Lotte
Opublikowane w: Brain-Computer Interfaces, Numer 2, 2022, ISSN 2326-2621
Wydawca: Taylor & Francis
DOI: 10.1080/2326263x.2022.2033073

Editorial: Long Term User Training and Preparation to Succeed in a Closed-Loop BCI Competition

Autorzy: Gernot R Müller-Putz; Damien Coyle; Fabien Lotte; Jing Jin; David Steyrl
Opublikowane w: Frontiers in Human Neuroscience, 2022, ISSN 1662-5161
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fnhum.2022.869700

Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training

Autorzy: Léa Pillette; Bernard N'Kaoua; Romain Sabau; Bertrand Glize; Fabien Lotte
Opublikowane w: MDPI Multimodal Technologies and Interaction, Numer 11, 2021, ISSN 2414-4088
Wydawca: MDPI
DOI: 10.3390/mti5030012

Grand Challenges in Neurotechnology and System Neuroergonomics

Autorzy: Stephen H. Fairclough; Fabien Lotte; Fabien Lotte
Opublikowane w: Frontiers in Neuroergonomics, Numer 5, 2020, ISSN 2673-6195
Wydawca: Frontiers
DOI: 10.3389/fnrgo.2020.602504

Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI.

Autorzy: Jelena Mladenović; Jérémy Frey; Smeety Pramij; Jérémie Mattout; Fabien Lotte
Opublikowane w: IEEE Transactions on Biomedical Engineering, Numer 8, 2021, ISSN 0018-9294
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbme.2021.3113854

Riemannian channel selection for BCI with between-session non-stationarity reduction capabilities

Autorzy: Fabien Lotte; Khadijeh Sadatnejad
Opublikowane w: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Numer 1, 2022, ISSN 1534-4320
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsre.2022.3167262

Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems

Autorzy: Andreas Meinel, Sebastián Castaño-Candamil, Benjamin Blankertz, Fabien Lotte, Michael Tangermann
Opublikowane w: Neuroinformatics, 2018, ISSN 1539-2791
Wydawca: Humana Press, Inc.
DOI: 10.1007/s12021-018-9396-7

A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

Autorzy: F Lotte, L Bougrain, A Cichocki, M Clerc, M Congedo, A Rakotomamonjy, F Yger
Opublikowane w: Journal of Neural Engineering, Numer 15/3, 2018, Strona(/y) 031005, ISSN 1741-2560
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1741-2552/aab2f2

SEREEGA: Simulating event-related EEG activity

Autorzy: Laurens R. Krol, Juliane Pawlitzki, Fabien Lotte, Klaus Gramann, Thorsten O. Zander
Opublikowane w: Journal of Neuroscience Methods, Numer 309, 2018, Strona(/y) 13-24, ISSN 0165-0270
Wydawca: Elsevier BV
DOI: 10.1016/j.jneumeth.2018.08.001

Defining and quantifying users’ mental imagery-based BCI skills: a first step

Autorzy: Fabien Lotte, Camille Jeunet
Opublikowane w: Journal of Neural Engineering, Numer 15/4, 2018, Strona(/y) 046030, ISSN 1741-2560
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1741-2552/aac577

Using Recent BCI Literature to Deepen our Understanding of Clinical Neurofeedback: A Short Review

Autorzy: Camille Jeunet, Fabien Lotte, Jean-Marie Batail, Pierre Philip, Jean-Arthur Micoulaud Franchi
Opublikowane w: Neuroscience, Numer 378, 2018, Strona(/y) 225-233, ISSN 0306-4522
Wydawca: Elsevier BV
DOI: 10.1016/j.neuroscience.2018.03.013

Editorial: Detection and Estimation of Working Memory States and Cognitive Functions Based on Neurophysiological Measures

Autorzy: Felix Putze, Christian Mühl, Fabien Lotte, Stephen Fairclough, Christian Herff
Opublikowane w: Frontiers in Human Neuroscience, Numer 12, 2018, ISSN 1662-5161
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fnhum.2018.00440

Active inference as a unifying, generic and adaptive framework for a P300-based BCI

Autorzy: Jelena Mladenovic, Jeremy Frey, Mateus Joffily, Emmanuel Maby, Fabien Lotte, Jeremie Mattout
Opublikowane w: Journal of Neural Engineering, Numer 17/1, 2020, Strona(/y) 016054, ISSN 1741-2552
Wydawca: IOP publishing
DOI: 10.1088/1741-2552/ab5d5c

A physical learning companion for Mental-Imagery BCI User Training

Autorzy: Léa Pillette, Camille Jeunet, Boris Mansencal, Roger N’Kambou, Bernard N’Kaoua, Fabien Lotte
Opublikowane w: International Journal of Human-Computer Studies, Numer 136, 2020, Strona(/y) 102380, ISSN 1071-5819
Wydawca: Academic Press
DOI: 10.1016/j.ijhcs.2019.102380

EEG neurofeedback research: A fertile ground for psychiatry?

Autorzy: J.-M. Batail, S. Bioulac, F. Cabestaing, C. Daudet, D. Drapier, M. Fouillen, T. Fovet, A. Hakoun, R. Jardri, C. Jeunet, F. Lotte, E. Maby, J. Mattout, T. Medani, J.-A. Micoulaud-Franchi, J. Mladenovic, L. Perronet, L. Pillette, T. Ros, F. Vialatte
Opublikowane w: L'Encéphale, Numer 45/3, 2019, Strona(/y) 245-255, ISSN 0013-7006
Wydawca: Elsevier Masson
DOI: 10.1016/j.encep.2019.02.001

Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research

Autorzy: Fabien Lotte, Camille Jeunet, Ricardo Chavarriaga, Laurent Bougrain, Dave E. Thompson, Reinhold Scherer, Md Rakibul Mowla, Andrea Kübler, Moritz Grosse-Wentrup, Karen Dijkstra, Natalie Dayan
Opublikowane w: Brain-Computer Interfaces, 2020, Strona(/y) 1-12, ISSN 2326-263X
Wydawca: Taylor & Francis
DOI: 10.1080/2326263x.2019.1697143

Modern machine learning algorithms to classify cognitive and affective states from electroencephalography signals

Autorzy: Aurélien Appriou, Andrzej Cichocki, Fabien Lotte
Opublikowane w: IEEE systems, man, and cybernetics magazine, 2020, ISSN 2333-942X
Wydawca: Institute of Electrical and Electronics Engineers Inc.

Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training.

Autorzy: Camille Benaroch; Camille Benaroch; Khadijeh Sadatnejad; Aline Roc; Aline Roc; Aurélien Appriou; Aurélien Appriou; Thibaut Monseigne; Smeety Pramij; Jelena Mladenovic; Jelena Mladenovic; Léa Pillette; Léa Pillette; Camille Jeunet; Fabien Lotte; Fabien Lotte
Opublikowane w: Frontiers in Human Neuroscience, Vol 15 (2021), Numer 3, 2021, ISSN 1662-5161
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fnhum.2021.635653

Retrospective on the First Passive Brain-Computer Interface Competition on Cross-Session Workload Estimation

Autorzy: Raphaëlle N. Roy; Marcel F. Hinss; Ludovic Darmet; Simon Ladouce; Emilie S. Jahanpour; Bertille Somon; Xiaoqi Xu; Nicolas Drougard; Frédéric Dehais; Fabien Lotte
Opublikowane w: Frontiers in Neuroergonomics, Numer 1, 2022, ISSN 2673-6195
Wydawca: Frontiers
DOI: 10.3389/fnrgo.2022.838342

Simple Probabilistic Data-driven Model for Adaptive BCI Feedback

Autorzy: Jelena Mladenović; Fabien Lotte; Jérémie Mattout; Jérémy Frey
Opublikowane w: NAT 2022 – 3rd Neuroadaptive Technology Conference, 2022
Wydawca: TU Brandenburg

A framework for user training adaptation in Brain-Computer Interfaces based on mental tasks (MT-BCIs)

Autorzy: Aline Roc; Fabien Lotte
Opublikowane w: International BCI meeting, 2021
Wydawca: BCI society

Freedom! Making a case for more options for users during training in BCI

Autorzy: Smeety Pramij; Aline Roc; Fabien Lotte
Opublikowane w: International BCI Meeting, 2021
Wydawca: BCI society

Identifying factors influencing the outcome of BCI-based post stroke motor rehabilitation towards its personalization with Artificial Intelligence

Autorzy: David Trocellier, Bernard N’kaoua, Fabien Lotte
Opublikowane w: MetroXRAINE 2022 – IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering, 2022
Wydawca: IEEE
DOI: 10.1109/metroxraine54828.2022.9967648

Tools for affective, cognitive and conative states estimation from both EEG and physiological signals

Autorzy: Aurélien Appriou, Fabien Lotte
Opublikowane w: Neuroergonomics Conference (NEC), 2021
Wydawca: LMU, Germany

Towards measuring states of epistemic curiosity through electroencephalographic signals

Autorzy: Aurélien Appriou; Jessy Ceha; Smeety Pramij; Dan Dutartre; Edith Law; Pierre-Yves Oudeyer; Fabien Lotte
Opublikowane w: IEEE System Man and Cybernetics Conference, 2020
Wydawca: IEEE

Active Inference for Adaptive BCI: application to the P300 Speller

Autorzy: Jelena Mladenović, Jérémy Frey, Emmanuel Maby, Mateus Joffily, Fabien Lotte, Jeremie Mattout
Opublikowane w: International BCI meeting, 2018
Wydawca: BCI society

MI-BCI Performances correlate with subject-specific frequency band characteristics

Autorzy: Benaroch, Camille; Jeunet, Camille; Lotte, Fabien
Opublikowane w: International BCI Meeting 2021, Numer 9, 2021
Wydawca: BCI society

Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users’ Performance

Autorzy: Eidan Tzdaka; Camille Benaroch; Camille Jeunet; Fabien Lotte
Opublikowane w: IEEE International conference on System, Man and Cybernetics (IEEE SMC), Numer 9, 2020
Wydawca: IEEE
DOI: 10.1109/smc42975.2020.9283307

Towards Robust Neuroadaptive HCI - Exploring Modern Machine Learning Methods to Estimate Mental Workload From EEG Signals

Autorzy: Aurélien Appriou, Andrzej Cichocki, Fabien Lotte
Opublikowane w: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18, 2018, Strona(/y) 1-6, ISBN 9781-450356213
Wydawca: ACM Press
DOI: 10.1145/3170427.3188617

What are the best motor tasks to use and calibrate SensoriMotor Rhythm Neurofeedback and Brain-Computer Interfaces? A preliminary case study

Autorzy: Lotte , Fabien; Cichocki , Andrzej
Opublikowane w: rtFIN 2017 - Real-time functional Imaging and Neurofeedback conference, Numer 1, 2017
Wydawca: RTFIN

Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces

Autorzy: Pillette , Léa; Jeunet , Camille; N 'kambou , R; N'Kaoua , Bernard; Lotte , Fabien
Opublikowane w: WACAI 2018, 2018
Wydawca: WACAI proceedings

Classification of attention types in EEG signals

Autorzy: Léa Pillette, Aurélien Appriou, Andrzej Cichocki, Bernard N'Kaoua, Fabien Lotte
Opublikowane w: International BCI Meeting, 2018
Wydawca: BCI Society

BCPy, an open-source python platform for offline EEG signals decoding and analysis

Autorzy: Appriou , Aurélien; Pillette , Léa; Cichocki , Andrzej; Lotte , Fabien
Opublikowane w: International BCI Meeting, Numer 1, 2018
Wydawca: International BCI society

Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces

Autorzy: Satyam Kumar, Florian Yger, Fabien Lotte
Opublikowane w: IEEE International Winter Conference on Brain-Computer Interfaces, 2019
Wydawca: IEEE

Can transfer learning across motor tasks improve motor imagery BCI?

Autorzy: Lotte , Fabien; Cichocki , Andrzej
Opublikowane w: International BCI Meeting 2018, Numer 1, 2018
Wydawca: International BCI society

Would Motor-Imagery based BCI user training benefit from more women experimenters?

Autorzy: Roc, Aline; Pillette, Léa; N'Kaoua, B.; Lotte, Fabien
Opublikowane w: 8th Graz Brain-Computer Interface Conference 2019, 2019
Wydawca: TU Graz

Are users' traits informative enough to predict/explain their mental-imagery based BCI performances ?

Autorzy: Benaroch, Camille; Jeunet, Camille; Lotte, Fabien
Opublikowane w: 8th Graz BCI Conference 2019, Sep 2019, Graz, Austria, 2019
Wydawca: TU Graz

Channel selection over riemannian manifold with non-stationarity consideration for brain-computer interface applications

Autorzy: Khadijeh Sadatnejad, Aline Roc, Léa Pillette, Aurélien Appriou, Thibaut Monseigne, Fabien Lotte
Opublikowane w: Proceedings of ICASSP 2020, 2020
Wydawca: IEEE

Biased feedback influences learning of Motor Imagery BCI

Autorzy: Jelena Mladenović, Jérémy Frey, Jeremie Mattout, Fabien Lotte
Opublikowane w: International BCI Meeting, 2021
Wydawca: BCI society

Assessing a new form of BCI user learning

Autorzy: Khadijeh Sadatnejad; Fabien Lotte
Opublikowane w: International BCI Meeting, 2021
Wydawca: BCI society

Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results

Autorzy: Yamamoto, Maria Sayu; Lotte, Fabien; Yger, Florian; Chevallier, Sylvain
Opublikowane w: EMBC 2022- 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Numer 1, 2022
Wydawca: IEEE
DOI: 10.1109/embc48229.2022.9871820

Autorzy: Sébastien Rimbert; David Trocellier; Fabien Lotte
Opublikowane w: MetroXRAINE 2022 – IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering, 2022
Wydawca: IEEE
DOI: 10.1109/metroxraine54828.2022.9967551

Reliable outlier detection by spectral clustering on Riemannian manifold of EEG covariance matrix

Autorzy: Maria Sayu Yamamoto; Khadijeh Sadatnejad; Md Rabiul Islam; Fabien Lotte; Toshihisa Tanaka
Opublikowane w: International BCI meeting, 2021
Wydawca: BCI society

Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study

Autorzy: Laurent Bougrain; Sébastien Rimbert; Pedro Rodrigues; Geoffrey Canron; Fabien Lotte
Opublikowane w: NER 2021 - 10th International IEEE/EMBS Conference on Neural Engineering, Numer 11, 2021
Wydawca: IEEE
DOI: 10.1109/ner49283.2021.9441254

Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering

Autorzy: Yamamoto, Maria,; Sadatnejad, Khadijeh; Tanaka, Toshihisa; Islam, Md. Rabiul; Tanaka, Yuichi; Lotte, Fabien
Opublikowane w: EMBC'2020 - 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, Jul 2020, Montréal, Canada, Numer 14, 2020
Wydawca: IEEE

ERD modulations during motor imageries relate to users’ traits and BCI performances

Autorzy: Sébastien Rimbert; Fabien Lotte
Opublikowane w: EMBC 2022 – 44th International Engineering in Medicine and Biology Conference, 2022
Wydawca: IEEE
DOI: 10.1109/embc48229.2022.9871411

Interfaces cerveau-machine (Les)

Autorzy: Frédéric Dehais, Fabien Lotte
Opublikowane w: Dictionnaire du numérique, 2022
Wydawca: ISTE

Apprendre à contrôler une interface cerveau-ordinateur

Autorzy: Fabien Lotte; Camille Jeunet-Kelway
Opublikowane w: Vers le cyber-monde : Humain et numérique en interaction, 2020
Wydawca: CNRS edition

A BCI challenge for the signal processing community: considering the user in the loop

Autorzy: Lotte , Fabien; Jeunet , Camille; Mladenovic , Jelena; N 'kaoua , Bernard; Pillette , Léa
Opublikowane w: Signal Processing and Machine Learning for Brain-Machine Interfaces, Numer 1, 2018
Wydawca: IET

Apprendre à contrôler une interface cerveau-ordinateur : le projet BrainConquest

Autorzy: Lotte, Fabien; Appriou, Aurélien; Benaroch, Camille; Dreyer, Pauline; Er, Alper; Monseigne, Thibaut; Pillette, Léa; Pramij, Smeety; Rimbert, Sébastien; Roc, Aline
Opublikowane w: Neurotechnologies et innovation responsable, Numer 8, 2021
Wydawca: Annales des Mines
DOI: 10.3917/rindu1.213.0016

Introduction: Evolution of Brain-Computer Interfaces

Autorzy: Fabien Lotte; Nam, Chang S.; Anton Nijholt
Opublikowane w: Brain-Computer Interfaces Handbook: Technological and Theoretical Advance, Numer 3, 2018
Wydawca: Taylor & Francis

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