F. Lotte

F. Lotte, Sébastien Rimbert, David Trocellier, 2022, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

Improving EEG Neurofeedback with Advanced Machine Learning and Signal Processing tools from Brain-Computer Interfaces Research

Andrzej Cichocki, Fabien Lotte, A. Cichocki, 2017 .

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

F. Lotte, B. N'Kaoua, David Trocellier, 2022, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

A physical learning companion for Mental-Imagery BCI User Training

Fabien Lotte, Boris Mansencal, Camille Jeunet, 2020, Int. J. Hum. Comput. Stud..

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

Marcel F. Hinss, F. Dehais, F. Lotte, 2022, Frontiers in Neuroergonomics.

Monitoring Pilot’s Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions

Fabien Lotte, Frédéric Dehais, Sébastien Scannella, 2019, Sensors.

SEREEGA: Simulating event-related EEG activity

Fabien Lotte, Thorsten O. Zander, Klaus Gramann, 2018, Journal of Neuroscience Methods.

Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design

Christian Mühl, Fabien Lotte, Florian Larrue, 2013, Front. Hum. Neurosci..

Brain-Computer Interfaces, Virtual Reality, and Videogames

Michitaka Hirose, Anatole Lécuyer, Mel Slater, 2008, Computer.

Active Inference for Adaptive BCI: application to the P300 Speller pdf

Jelena Mladenovic, Jérémy Frey, Emmanuel Maby, 2018, ArXiv.

Endowing the Machine with Active Inference: A Generic Framework to Implement Adaptive BCI

Jérémy Frey, Mateus Joffily, Fabien Lotte, 2017 .

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

Fabien Lotte, Léa Pillette, Bernard N'Kaoua, 2018 .

Brain Training with Neurofeedback

Anatole Lécuyer, Maureen Clerc, Fabien Lotte, 2016 .

Towards Explanatory Feedback for User Training in Brain-Computer Interfaces

Fabien Lotte, Camille Jeunet, Julia Schumacher, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Towards improved BCI based on human learning principles

Fabien Lotte, Camille Jeunet, F. Lotte, 2015, The 3rd International Winter Conference on Brain-Computer Interface.

The Mind-Mirror: See your brain in action in your head using EEG and augmented reality

Maud Marchal, Anatole Lécuyer, Fabien Lotte, 2014, 2014 IEEE Virtual Reality (VR).

On the need for alternative feedback training approaches for BCI

Fabien Lotte, F. Lotte, 2012 .

Using scalp electrical biosignals to control an object by concentration and relaxation tasks: Design and evaluation

Anatole Lécuyer, Fabien Lotte, Laurent George, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Neural Mechanisms of Social Emotion Perception: An EEG Hyper-Scanning Study

Andrzej Cichocki, Fabien Lotte, Junhua Li, 2018, 2018 International Conference on Cyberworlds (CW).

Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces

Fabien Lotte, F. Lotte, 2015, Proceedings of the IEEE.

Grand Challenges in Neurotechnology and System Neuroergonomics

Stephen H. Fairclough, Fabien Lotte, S. Fairclough, 2020, Frontiers in Neuroergonomics.

AI in the media and creative industries pdf

Sylvain Lefebvre, Emmanuel Vincent, Frédéric Bimbot, 2019, ArXiv.

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

Fabien Lotte, Léa Pillette, Aline Roc, 2021, Int. J. Hum. Comput. Stud..

OpenViBE: An Open-Source Software Platform to Design, Test, and Use BrainComputer Interfaces in Real and Virtual Environments

Guillaume Gibert, Anatole Lécuyer, Emmanuel Maby, 2010, PRESENCE: Teleoperators and Virtual Environments.

EEG-based workload estimation across affective contexts

Christian Mühl, Fabien Lotte, Camille Jeunet, 2014, Front. Neurosci..

Brain-Computer Interfaces: Beyond Medical Applications

Fabien Lotte, Michael Tangermann, Jan B. F. van Erp, 2012, Computer.

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

Toshihisa Tanaka, Md. Rabiul Islam, Fabien Lotte, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Brain–Computer Interface Contributions to Neuroergonomics

Fabien Lotte, Raphaëlle N. Roy, F. Lotte, 2019, Neuroergonomics.

Scientific and Technical Prospects

Anatole Lécuyer, Fabien Lotte, Philippe Guillotel, 2018 .

Mind the Traps! Design Guidelines for Rigorous BCI Experiments

Reinhold Scherer, Fabien Lotte, Jérémie Mattout, 2018 .

Heading for new shores! Overcoming pitfalls in BCI design.

Ricardo Chavarriaga, Reinhold Scherer, Fabien Lotte, 2017, Brain computer interfaces.

Classifying EEG Signals during Stereoscopic Visualization to Estimate Visual Comfort

Jérémy Frey, Fabien Lotte, Martin Hachet, 2015, Comput. Intell. Neurosci..

Electroencephalography (EEG)‐Based Brain–Computer Interfaces

Maureen Clerc, Fabien Lotte, Laurent Bougrain, 2015 .

Continuous Mental Effort Evaluation During 3D Object Manipulation Tasks Based on Brain and Physiological Signals

Jérémy Frey, Fabien Lotte, Jean-Baptiste de la Rivière, 2015, INTERACT.

Teegi: tangible EEG interface

Jérémy Frey, Fabien Lotte, Martin Hachet, 2014, UIST.

A Tutorial on EEG Signal Processing Techniques for Mental State Recognition in Brain-Computer Interfaces

Fabien Lotte, F. Lotte, 2014 .

Brain-computer interfaces for 3D games: hype or hope?

Fabien Lotte, F. Lotte, 2011, FDG.

Study of Electroencephalographic Signal Processing and Classification Techniques towards the use of Brain-Computer Interfaces in Virtual Reality Applications

Fabien Lotte, F. Lotte, 2008 .

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

Andrzej Cichocki, Fabien Lotte, Léa Pillette, 2021, Sensors.

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

M Congedo, F Lotte, L Bougrain, 2018, Journal of neural engineering.

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

F. Lotte, C. Jeunet, A. Roc, 2022, Brain-Computer Interfaces.

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

Fabien Lotte, Camille Benaroch, Léa Pillette, 2020, Journal of neural engineering.

Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns

Sriram Subramanian, Fabien Lotte, Martin Hachet, 2015, PloS one.

Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms

Cuntai Guan, Fabien Lotte, Cuntai Guan, 2011, IEEE Transactions on Biomedical Engineering.

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

Fabien Lotte, Léa Pillette, Bernard N'Kaoua, 2021, Multimodal Technol. Interact..

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

F. Lotte, C. Jeunet, A. Roc, 2021, Frontiers in Human Neuroscience.

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

Fabien Lotte, Roger Nkambou, Léa Pillette, 2018, ArXiv.

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

Fabien Lotte, Camille Jeunet, F. Lotte, 2018, Journal of neural engineering.

Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study

Fabien Lotte, Camille Jeunet, Emilie Jahanpour, 2016, Journal of neural engineering.

Author manuscript, published in "IEEE Transactions on Computational Intelligence and AI in games (2013)" Two Brains, One Game: Design and Evaluation of a Multi-User BCI Video Game Based on Motor Imagery

Anatole Lécuyer, Fabien Lotte, Laurent Bonnet, 2022 .

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

Emmanuel Maby, Fabien Lotte, Jeremie Mattout, 2019, Journal of neural engineering.

Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Ricardo Chavarriaga, Clemens Brunner, Fabien Lotte, 2014, Brain computer interfaces.

FuRIA: An Inverse Solution Based Feature Extraction Algorithm Using Fuzzy Set Theory for Brain–Computer Interfaces

Anatole Lécuyer, Bruno Arnaldi, Fabien Lotte, 2009, IEEE Transactions on Signal Processing.

FuRIA: A Novel Feature Extraction Algorithm for Brain-Computer Interfaces using Inverse Models and Fuzzy Regions of Interest

B. Arnaldi, A. Lecuyer, F. Lotte, 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.

The Impact of Flow in an EEG-based Brain Computer Interface pdf

Jérémy Frey, Fabien Lotte, Jérémie Mattout, 2017, GBCIC.

Towards a Cognitive Model of MI-BCI User Training

Fabien Lotte, Bernard N'Kaoua, Camille Jeunet, 2017, GBCIC.

Framework for Electroencephalography-based Evaluation of User Experience

Jérémy Frey, Fabien Lotte, Martin Hachet, 2016, CHI.

Review of the Use of Electroencephalography as an Evaluation Method for Human-Computer Interaction pdf

Christian Mühl, Jérémy Frey, Fabien Lotte, 2013, PhyCS.

A review of classification algorithms for EEG-based brain–computer interfaces

M Congedo, F Lotte, A Lécuyer, 2007, Journal of neural engineering.

Toward understanding the influence of the experimenter on BCI performance

Fabien Lotte, Léa Pillette, Aline Roc, 2018 .

Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals

Andrzej Cichocki, Fabien Lotte, Aurelien Appriou, 2020, IEEE Systems, Man, and Cybernetics Magazine.

Towards ambulatory brain-computer interfaces: a pilot study with P300 signals

Michitaka Hirose, Anatole Lécuyer, Fabien Lotte, 2009, Advances in Computer Entertainment Technology.

Pattern rejection strategies for the design of self-paced EEG-based Brain-Computer Interfaces

Harold Mouchère, Anatole Lécuyer, Fabien Lotte, 2008, 2008 19th International Conference on Pattern Recognition.

A new feature and associated optimal spatial filter for EEG signal classification: Waveform Length

Fabien Lotte, F. Lotte, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Workshops of the Seventh International Brain-Computer Interface Meeting: Not Getting Lost in Translation.

Ricardo Chavarriaga, Anton Nijholt, Matthias Hohmann, 2019, Brain computer interfaces.

Speed of Rapid Serial Visual Presentation of Pictures, Numbers and Words Affects Event-Related Potential-Based Detection Accuracy

Damien Coyle, Fabien Lotte, Liam Maguire, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Learning from other subjects helps reducing Brain-Computer Interface calibration time

Cuntai Guan, Fabien Lotte, Cuntai Guan, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Optimizing spatial filter pairs for EEG classification based on phase-synchronization

Stefano Ramat, Fabien Lotte, Nicoletta Caramia, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Fabien Lotte, Eidan Tzdaka, Camille Benaroch, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Learning 2-in-1: towards integrated EEG-fMRI-neurofeedback

Anatole Lécuyer, Maureen Clerc, Fabien Lotte, 2018, bioRxiv.

Recreational Applications of OpenViBE: Brain Invaders and Use-the-Force

Fabien Lotte, Alexandre Barachant, Marco Congedo, 2016 .

Brain–Computer Interfaces Handbook Technological and Theoretical Advances

A. Nijholt, J. Mattout, F. Lotte, 2023 .

Combining BCI with Virtual Reality: Towards New Applications and Improved BCI

Anatole Lécuyer, Gert Pfurtscheller, Josef Faller, 2012 .

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

Karen Dijkstra, Ricardo Chavarriaga, Moritz Grosse-Wentrup, 2019, Brain-Computer Interfaces.

User-Centred BCI Videogame Design

Anatole Lécuyer, Fabien Lotte, Emilie Loup-Escande, 2015 .

Unimodal Versus Bimodal EEG-fMRI Neurofeedback of a Motor Imagery Task

Anatole Lécuyer, Maureen Clerc, Fabien Lotte, 2016, Front. Hum. Neurosci..

Towards measuring states of epistemic curiosity through electroencephalographic signals

Pierre-Yves Oudeyer, Fabien Lotte, Edith Law, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Exploring Large Virtual Environments by Thoughts Using a BrainComputer Interface Based on Motor Imagery and High-Level Commands

Anatole Lécuyer, Bruno Arnaldi, Fabien Lotte, 2010, PRESENCE: Teleoperators and Virtual Environments.

A Review of Rapid Serial Visual Presentation-based Brain-1 Computer Interfaces 2

Damien Coyle, Fabien Lotte, Hubert Cecotti, 2017 .

Comparative study of band-power extraction techniques for Motor Imagery classification

Anatole Lécuyer, Fabien Lotte, Nicolas Brodu, 2011, 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB).

Neurofeedback: A challenge for integrative clinical neurophysiological studies

F. Lotte, Jean-Arthur Micoulaud Franchi, C. Jeunet, 2020, Neurophysiologie Clinique.

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

Fabien Lotte, Camille Jeunet, Pierre Philip, 2018, Neuroscience.

On assessing neurofeedback effects: should double-blind replace neurophysiological mechanisms?

Fabien Lotte, Jérémie Mattout, Guilherme Wood, 2017, Brain : a journal of neurology.

Comparison of designs towards a subject-independent brain-computer interface based on motor imagery

Cuntai Guan, Kai Keng Ang, Fabien Lotte, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

TOBE: Tangible Out-of-Body Experience

Jérémy Frey, Fabien Lotte, Martin Hachet, 2015, TEI.

EEG neurofeedback research: A fertile ground for psychiatry?

F. Cabestaing, T. Medani, J. Mattout, 2019, L'Encephale.

Why and How to Use Intelligent Tutoring Systems to Adapt MI-BCI Training to Each User

Fabien Lotte, Bernard N'Kaoua, Camille Jeunet, 2016 .

Averaging covariance matrices for EEG signal classification based on the CSP: An empirical study

Masashi Sugiyama, Florian Yger, Fabien Lotte, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Using computational modelling to better understand and predict Mental-Imagery based BCI (MI-BCI) users' performance

Fabien Lotte, Camille Benaroch, Camille Jeunet, 2018 .

Brain-Computer Interfaces 1: Foundations and Methods

Maureen Clerc, Fabien Lotte, Laurent Bougrain, 2016 .

Exploring two novel features for EEG-based brain-computer interfaces: Multifractal cumulants and predictive complexity

Anatole Lécuyer, Fabien Lotte, Nicolas Brodu, 2010, Neurocomputing.

An EEG dataset for cross-session mental workload estimation: Passive BCI competition of the Neuroergonomics Conference 2021

Fabien Lotte, Bertille Somon, Simon Ladouce, 2021 .

Classification of movement intention by spatially filtered electromagnetic inverse solutions

M Congedo, F Lotte, A Lécuyer, 2006, Physics in medicine and biology.

The Use of Fuzzy Inference Systems for Classification in EEG-based Brain-Computer Interfaces

Fabien Lotte, F. Lotte, 2006 .

Riemannian Channel Selection for BCI With Between-Session Non-Stationarity Reduction Capabilities

F. Lotte, Khadijeh Sadatnejad, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A generic framework for adaptive EEG-based BCI training and operation pdf

Jelena Mladenovic, Fabien Lotte, Jérémie Mattout, 2017, ArXiv.

Continuous Tactile Feedback for Motor-Imagery Based Brain-Computer Interaction in a Multitasking Context

Chi Thanh Vi, Fabien Lotte, Daniel Spelmezan, 2015, INTERACT.

OpenViBE: An Open-Source Software Platform to Design, Test and Use Brain-Computer Interfaces in Real and Virtual Environments

M. Congedo, O. Bertrand, F. Lotte, 2018 .

Towards Identifying Optimal Biased Feedback for Various User States and Traits in Motor Imagery BCI

Fabien Lotte, Jeremie Mattout, Jelena Mladenovic, 2021, IEEE Transactions on Biomedical Engineering.

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

Fabien Lotte, Laurent Bougrain, Sébastien Rimbert, 2021, 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER).

Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications

Fabien Lotte, Léa Pillette, Aline Roc, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploring adaptive BCI methods to favour user learning and flow state

Fabien Lotte, Jérémie Mattout, Jelena Mladenović, 2017 .

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

Fabien Lotte, Camille Benaroch, Camille Jeunet, 2019, GBCIC.

Design and Preliminary Study of a neurofeedback Protocol to Self-Regulate an EEG Marker of Drowsiness

Fabien Lotte, Jean-Arthur Micoulaud-Franchi, Thibaut Monseigne, 2019, GBCIC.

A large EEG database with users’ profile information for motor imagery brain-computer interface research

F. Lotte, Sébastien Rimbert, A. Roc, 2023, Scientific data.

EEG Neurofeedback research: a fertile ground for psychiatry?

D. Drapier, J. Mattout, R. Jardri, 2020 .

A review of classification algorithms for EEG-based brain–computer interfaces

M. Congedo, F. Lotte, A. Lécuyer, 2007, Journal of neural engineering.

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

A. Cichocki, M. Congedo, A. Rakotomamonjy, 2018, Journal of neural engineering.

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

F. Lotte, B. N'Kaoua, P. Joseph, 2020, NeuroImage: Clinical.

16 ECoG-Based BCIs Aysegul Gunduz and Gerwin Schalk

F. Lotte, A. Nijholt, 2023 .

Towards a Cognitive Model of MI-BCI User Training

F. Lotte, B. N'Kaoua, C. Jeunet, 2017, GBCIC.

Monitoring auditory attention with a 6 dry-electrode EEG system in real flight conditions

Fabien Lotte, Frédéric Dehais, Sébastien Scannella, 2018 .

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

Andrzej Cichocki, Fabien Lotte, Aurélien Appriou, 2018, CHI Extended Abstracts.

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

G. Müller-Putz, F. Lotte, D. Coyle, 2022, Frontiers in Human Neuroscience.

Synthetic Evidential Study as Augmented Collective Thought Process - Preliminary Report

Atsushi Nakazawa, Sutasinee Thovutikul, Toyoaki Nishida, 2015, ACIIDS.

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

Florian Yger, Fabien Lotte, Satyam Kumar, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

SEREEGA: Simulating event-related EEG activity

T. Zander, K. Gramann, F. Lotte, 2018, Journal of Neuroscience Methods.

A review of rapid serial visual presentation-based brain–computer interfaces

F. Lotte, D. Coyle, L. Maguire, 2018, Journal of neural engineering.