Boosting Brain-Computer Communication with high Quality User Training

Risultati finali

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

Pubblicazioni

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

Autori: 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
Pubblicato in: Brain-Computer Interfaces, Numero 2, 2019, ISSN 2326-2621
Editore: 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

Autori: Léa Pillette, Fabien Lotte, Bernard N’Kaoua, Pierre-Alain Joseph, Camille Jeunet, Bertrand Glize
Pubblicato in: NeuroImage: Clinical, Numero 28, 2020, Pagina/e 102417, ISSN 2213-1582
Editore: Elsevier BV
DOI: 10.1016/j.nicl.2020.102417

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

Autori: Aurélien Appriou, Léa Pillette, David Trocellier, Dan Dutartre, Andrzej Cichocki, Fabien Lotte
Pubblicato in: MDPI Sensors, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21175740

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

Autori: Aline Roc, Lea Pillette, Jelena Mladenovic, Camille Benaroch, Bernard N’Kaoua, Camille Jeunet, Fabien Lotte
Pubblicato in: Journal of Neural Engineering, Numero 18/1, 2021, Pagina/e 011002, ISSN 1741-2560
Editore: Institute of Physics Publishing
DOI: 10.1088/1741-2552/abca17

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

Autori: Pillette, Léa; Roc, Aline; N'Kaoua, Bernard; Lotte, Fabien
Pubblicato in: International Journal of Human-Computer Studies, Numero 4, 2021, ISSN 1071-5819
Editore: Academic Press

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

Autori: Camille Benaroch; Maria Sayu Yamamoto; Aline Roc; Pauline Dreyer; Camille Jeunet; Fabien Lotte
Pubblicato in: Brain-Computer Interfaces, Numero 2, 2022, ISSN 2326-2621
Editore: Taylor & Francis
DOI: 10.1080/2326263x.2022.2033073

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

Autori: Gernot R Müller-Putz; Damien Coyle; Fabien Lotte; Jing Jin; David Steyrl
Pubblicato in: Frontiers in Human Neuroscience, 2022, ISSN 1662-5161
Editore: 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

Autori: Léa Pillette; Bernard N'Kaoua; Romain Sabau; Bertrand Glize; Fabien Lotte
Pubblicato in: MDPI Multimodal Technologies and Interaction, Numero 11, 2021, ISSN 2414-4088
Editore: MDPI
DOI: 10.3390/mti5030012

Grand Challenges in Neurotechnology and System Neuroergonomics

Autori: Stephen H. Fairclough; Fabien Lotte; Fabien Lotte
Pubblicato in: Frontiers in Neuroergonomics, Numero 5, 2020, ISSN 2673-6195
Editore: Frontiers
DOI: 10.3389/fnrgo.2020.602504

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

Autori: Jelena Mladenović; Jérémy Frey; Smeety Pramij; Jérémie Mattout; Fabien Lotte
Pubblicato in: IEEE Transactions on Biomedical Engineering, Numero 8, 2021, ISSN 0018-9294
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbme.2021.3113854

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

Autori: Fabien Lotte; Khadijeh Sadatnejad
Pubblicato in: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Numero 1, 2022, ISSN 1534-4320
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsre.2022.3167262

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

Autori: Andreas Meinel, Sebastián Castaño-Candamil, Benjamin Blankertz, Fabien Lotte, Michael Tangermann
Pubblicato in: Neuroinformatics, 2018, ISSN 1539-2791
Editore: 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

Autori: F Lotte, L Bougrain, A Cichocki, M Clerc, M Congedo, A Rakotomamonjy, F Yger
Pubblicato in: Journal of Neural Engineering, Numero 15/3, 2018, Pagina/e 031005, ISSN 1741-2560
Editore: Institute of Physics Publishing
DOI: 10.1088/1741-2552/aab2f2

SEREEGA: Simulating event-related EEG activity

Autori: Laurens R. Krol, Juliane Pawlitzki, Fabien Lotte, Klaus Gramann, Thorsten O. Zander
Pubblicato in: Journal of Neuroscience Methods, Numero 309, 2018, Pagina/e 13-24, ISSN 0165-0270
Editore: Elsevier BV
DOI: 10.1016/j.jneumeth.2018.08.001

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

Autori: Fabien Lotte, Camille Jeunet
Pubblicato in: Journal of Neural Engineering, Numero 15/4, 2018, Pagina/e 046030, ISSN 1741-2560
Editore: Institute of Physics Publishing
DOI: 10.1088/1741-2552/aac577

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

Autori: Camille Jeunet, Fabien Lotte, Jean-Marie Batail, Pierre Philip, Jean-Arthur Micoulaud Franchi
Pubblicato in: Neuroscience, Numero 378, 2018, Pagina/e 225-233, ISSN 0306-4522
Editore: 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

Autori: Felix Putze, Christian Mühl, Fabien Lotte, Stephen Fairclough, Christian Herff
Pubblicato in: Frontiers in Human Neuroscience, Numero 12, 2018, ISSN 1662-5161
Editore: Frontiers Research Foundation
DOI: 10.3389/fnhum.2018.00440

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

Autori: Jelena Mladenovic, Jeremy Frey, Mateus Joffily, Emmanuel Maby, Fabien Lotte, Jeremie Mattout
Pubblicato in: Journal of Neural Engineering, Numero 17/1, 2020, Pagina/e 016054, ISSN 1741-2552
Editore: IOP publishing
DOI: 10.1088/1741-2552/ab5d5c

A physical learning companion for Mental-Imagery BCI User Training

Autori: Léa Pillette, Camille Jeunet, Boris Mansencal, Roger N’Kambou, Bernard N’Kaoua, Fabien Lotte
Pubblicato in: International Journal of Human-Computer Studies, Numero 136, 2020, Pagina/e 102380, ISSN 1071-5819
Editore: Academic Press
DOI: 10.1016/j.ijhcs.2019.102380

EEG neurofeedback research: A fertile ground for psychiatry?

Autori: 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
Pubblicato in: L'Encéphale, Numero 45/3, 2019, Pagina/e 245-255, ISSN 0013-7006
Editore: Elsevier Masson
DOI: 10.1016/j.encep.2019.02.001

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

Autori: 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
Pubblicato in: Brain-Computer Interfaces, 2020, Pagina/e 1-12, ISSN 2326-263X
Editore: Taylor & Francis
DOI: 10.1080/2326263x.2019.1697143

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

Autori: Aurélien Appriou, Andrzej Cichocki, Fabien Lotte
Pubblicato in: IEEE systems, man, and cybernetics magazine, 2020, ISSN 2333-942X
Editore: Institute of Electrical and Electronics Engineers Inc.

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

Autori: 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
Pubblicato in: Frontiers in Human Neuroscience, Vol 15 (2021), Numero 3, 2021, ISSN 1662-5161
Editore: Frontiers Research Foundation
DOI: 10.3389/fnhum.2021.635653

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

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

Simple Probabilistic Data-driven Model for Adaptive BCI Feedback

Autori: Jelena Mladenović; Fabien Lotte; Jérémie Mattout; Jérémy Frey
Pubblicato in: NAT 2022 – 3rd Neuroadaptive Technology Conference, 2022
Editore: TU Brandenburg

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

Autori: Aline Roc; Fabien Lotte
Pubblicato in: International BCI meeting, 2021
Editore: BCI society

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

Autori: Smeety Pramij; Aline Roc; Fabien Lotte
Pubblicato in: International BCI Meeting, 2021
Editore: BCI society

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

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

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

Autori: Aurélien Appriou, Fabien Lotte
Pubblicato in: Neuroergonomics Conference (NEC), 2021
Editore: LMU, Germany

Towards measuring states of epistemic curiosity through electroencephalographic signals

Autori: Aurélien Appriou; Jessy Ceha; Smeety Pramij; Dan Dutartre; Edith Law; Pierre-Yves Oudeyer; Fabien Lotte
Pubblicato in: IEEE System Man and Cybernetics Conference, 2020
Editore: IEEE

Active Inference for Adaptive BCI: application to the P300 Speller

Autori: Jelena Mladenović, Jérémy Frey, Emmanuel Maby, Mateus Joffily, Fabien Lotte, Jeremie Mattout
Pubblicato in: International BCI meeting, 2018
Editore: BCI society

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

Autori: Benaroch, Camille; Jeunet, Camille; Lotte, Fabien
Pubblicato in: International BCI Meeting 2021, Numero 9, 2021
Editore: BCI society

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

Autori: Eidan Tzdaka; Camille Benaroch; Camille Jeunet; Fabien Lotte
Pubblicato in: IEEE International conference on System, Man and Cybernetics (IEEE SMC), Numero 9, 2020
Editore: IEEE
DOI: 10.1109/smc42975.2020.9283307

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

Autori: Aurélien Appriou, Andrzej Cichocki, Fabien Lotte
Pubblicato in: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18, 2018, Pagina/e 1-6, ISBN 9781-450356213
Editore: 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

Autori: Lotte , Fabien; Cichocki , Andrzej
Pubblicato in: rtFIN 2017 - Real-time functional Imaging and Neurofeedback conference, Numero 1, 2017
Editore: RTFIN

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

Autori: Pillette , Léa; Jeunet , Camille; N 'kambou , R; N'Kaoua , Bernard; Lotte , Fabien
Pubblicato in: WACAI 2018, 2018
Editore: WACAI proceedings

Classification of attention types in EEG signals

Autori: Léa Pillette, Aurélien Appriou, Andrzej Cichocki, Bernard N'Kaoua, Fabien Lotte
Pubblicato in: International BCI Meeting, 2018
Editore: BCI Society

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

Autori: Appriou , Aurélien; Pillette , Léa; Cichocki , Andrzej; Lotte , Fabien
Pubblicato in: International BCI Meeting, Numero 1, 2018
Editore: International BCI society

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

Autori: Satyam Kumar, Florian Yger, Fabien Lotte
Pubblicato in: IEEE International Winter Conference on Brain-Computer Interfaces, 2019
Editore: IEEE

Can transfer learning across motor tasks improve motor imagery BCI?

Autori: Lotte , Fabien; Cichocki , Andrzej
Pubblicato in: International BCI Meeting 2018, Numero 1, 2018
Editore: International BCI society

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

Autori: Roc, Aline; Pillette, Léa; N'Kaoua, B.; Lotte, Fabien
Pubblicato in: 8th Graz Brain-Computer Interface Conference 2019, 2019
Editore: TU Graz

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

Autori: Benaroch, Camille; Jeunet, Camille; Lotte, Fabien
Pubblicato in: 8th Graz BCI Conference 2019, Sep 2019, Graz, Austria, 2019
Editore: TU Graz

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

Autori: Khadijeh Sadatnejad, Aline Roc, Léa Pillette, Aurélien Appriou, Thibaut Monseigne, Fabien Lotte
Pubblicato in: Proceedings of ICASSP 2020, 2020
Editore: IEEE

Biased feedback influences learning of Motor Imagery BCI

Autori: Jelena Mladenović, Jérémy Frey, Jeremie Mattout, Fabien Lotte
Pubblicato in: International BCI Meeting, 2021
Editore: BCI society

Assessing a new form of BCI user learning

Autori: Khadijeh Sadatnejad; Fabien Lotte
Pubblicato in: International BCI Meeting, 2021
Editore: BCI society

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

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

Autori: Sébastien Rimbert; David Trocellier; Fabien Lotte
Pubblicato in: MetroXRAINE 2022 – IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering, 2022
Editore: IEEE
DOI: 10.1109/metroxraine54828.2022.9967551

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

Autori: Maria Sayu Yamamoto; Khadijeh Sadatnejad; Md Rabiul Islam; Fabien Lotte; Toshihisa Tanaka
Pubblicato in: International BCI meeting, 2021
Editore: BCI society

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

Autori: Laurent Bougrain; Sébastien Rimbert; Pedro Rodrigues; Geoffrey Canron; Fabien Lotte
Pubblicato in: NER 2021 - 10th International IEEE/EMBS Conference on Neural Engineering, Numero 11, 2021
Editore: IEEE
DOI: 10.1109/ner49283.2021.9441254

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

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

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

Autori: Sébastien Rimbert; Fabien Lotte
Pubblicato in: EMBC 2022 – 44th International Engineering in Medicine and Biology Conference, 2022
Editore: IEEE
DOI: 10.1109/embc48229.2022.9871411

Interfaces cerveau-machine (Les)

Autori: Frédéric Dehais, Fabien Lotte
Pubblicato in: Dictionnaire du numérique, 2022
Editore: ISTE

Apprendre à contrôler une interface cerveau-ordinateur

Autori: Fabien Lotte; Camille Jeunet-Kelway
Pubblicato in: Vers le cyber-monde : Humain et numérique en interaction, 2020
Editore: CNRS edition

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

Autori: Lotte , Fabien; Jeunet , Camille; Mladenovic , Jelena; N 'kaoua , Bernard; Pillette , Léa
Pubblicato in: Signal Processing and Machine Learning for Brain-Machine Interfaces, Numero 1, 2018
Editore: IET

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

Autori: Lotte, Fabien; Appriou, Aurélien; Benaroch, Camille; Dreyer, Pauline; Er, Alper; Monseigne, Thibaut; Pillette, Léa; Pramij, Smeety; Rimbert, Sébastien; Roc, Aline
Pubblicato in: Neurotechnologies et innovation responsable, Numero 8, 2021
Editore: Annales des Mines
DOI: 10.3917/rindu1.213.0016

Introduction: Evolution of Brain-Computer Interfaces

Autori: Fabien Lotte; Nam, Chang S.; Anton Nijholt
Pubblicato in: Brain-Computer Interfaces Handbook: Technological and Theoretical Advance, Numero 3, 2018
Editore: Taylor & Francis

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