| EEG-based workload estimation across affective contexts C Mühl, C Jeunet, F Lotte Frontiers in neuroscience 8, 114, 2014 | 105 | 2014 |
| Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns C Jeunet, B N'Kaoua, S Subramanian, M Hachet, F Lotte PLoS ONE 10 (12), e0143962, 2015 | 84 | 2015 |
| Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study C Jeunet, E Jahanpour, F Lotte Journal of neural engineering 13 (3), 036024, 2016 | 81 | 2016 |
| Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates C Jeunet, B N’Kaoua, F Lotte Progress in brain research 228, 3-35, 2016 | 60 | 2016 |
| Towards improved BCI based on human learning principles F Lotte, C Jeunet The 3rd International Winter Conference on Brain-Computer Interface, 1-4, 2015 | 50 | 2015 |
| Continuous tactile feedback for motor-imagery based brain-computer interaction in a multitasking context C Jeunet, C Vi, D Spelmezan, B N’Kaoua, F Lotte, S Subramanian IFIP Conference on Human-Computer Interaction, 488-505, 2015 | 38 | 2015 |
| Using recent BCI literature to deepen our understanding of clinical neurofeedback: A short review C Jeunet, F Lotte, JM Batail, P Philip, JAM Franchi Neuroscience 378, 225-233, 2018 | 20 | 2018 |
| Towards explanatory feedback for user training in brain-computer interfaces J Schumacher, C Jeunet, F Lotte 2015 IEEE International Conference on Systems, Man, and Cybernetics, 3169-3174, 2015 | 19 | 2015 |
| How Well Can We Learn With Standard BCI Training Approaches? A Pilot Study. C Jeunet, A Cellard, S Subramanian, M Hachet, B N'Kaoua, F Lotte | 19 | 2014 |
| “Do You Feel in Control?”: Towards Novel Approaches to Characterise, Manipulate and Measure the Sense of Agency in Virtual Environments C Jeunet, L Albert, F Argelaguet, A Lécuyer IEEE transactions on visualization and computer graphics 24 (4), 1486-1495, 2018 | 16 | 2018 |
| Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist) T Ros, S Enriquez-Geppert, V Zotev, KD Young, G Wood, ... Brain, 2019 | 15 | 2019 |
| Towards BCI-based interfaces for augmented reality: Feasibility, design and evaluation H Si-Mohammed, J Petit, C Jeunet, F Argelaguet, F Spindler, A Evain, ... IEEE transactions on visualization and computer graphics, 2018 | 14 | 2018 |
| Defining and quantifying users’ mental imagery-based BCI skills: a first step F Lotte, C Jeunet Journal of neural engineering 15 (4), 046030, 2018 | 13 | 2018 |
| Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects C Jeunet, B Glize, A Mcgonigal, JM Batail, JA Micoulaud-Franchi Neurophysiologie Clinique 49 (2), 125-136, 2019 | 11 | 2019 |
| Peanut: Personalised emotional agent for neurotechnology user-training L Pillette, C Jeunet, B Mansencal, R N'Kambou, B N'Kaoua, F Lotte | 11 | 2017 |
| Online classification accuracy is a poor metric to study mental imagery-based bci user learning: an experimental demonstration and new metrics F Lotte, C Jeunet | 10 | 2017 |
| Towards a cognitive model of MI-BCI user training C Jeunet, B N'Kaoua, F Lotte | 9 | 2017 |
| Towards a spatial ability training to improve Mental Imagery based Brain-Computer Interface (MI-BCI) performance: A Pilot study S Teillet, F Lotte, B N'Kaoua, C Jeunet 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 9 | 2016 |
| Why and how to use intelligent tutoring systems to adapt mi-bci training to each user C Jeunet, B N'Kaoua, R N'Kambou, F Lotte | 8 | 2016 |
| Mind the traps! Design guidelines for rigorous BCI experiments C Jeunet, S Debener, F Lotte, J Mattout, R Scherer, C Zich Brain–Computer Interfaces Handbook, 639-660, 2018 | 7 | 2018 |
Fabien LotteInria Bordeaux Sud-Ouest / LaBRI (Univ. Bordeaux - CNRS - Bordeaux INP)Verified email at inria.fr
