Camille Jeunet
Scientific articles
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A BCI challenge for the signal-processing community: Considering the user in the loop
Signal Processing and Machine Learning for Brain-Machine Interfaces. . : 143-172.
10.1049/PBCE114E_ch8 -
Brain-Computer Interaction and Neuroergonomics
Integrated Science. 2024-01-01. : 141-156.
10.1007/978-3-031-58363-6_10 -
The sense of embodiment in Virtual Reality and its assessment methods
Front. Virtual Real.. 2023-12-05. 4
10.3389/frvir.2023.1141683 -
Editorial: Women in brain-computer interfaces
Front. Hum. Neurosci.. 2023-08-22. 17
10.3389/fnhum.2023.1260479 -
Conscious awareness of others’ actions during observational learning does not benefit motor skill performance
Consciousness and Cognition. 2023-08-01. 113 : 103553.
10.1016/j.concog.2023.103553 -
Erratum: Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns (PLoS ONE (2015) 10:12 (e0143962) DOI: 10.1371/journal.pone.0143962)
PLoS ONE. 2023-02-23. 18(2) : e0282281.
10.1371/journal.pone.0282281 -
Modelling the acceptability of BCIs for motor rehabilitation after stroke: a large scale study on the general public
Front. Neuroergonomics. 2023-02-01. 3
10.3389/fnrgo.2022.1082901 -
Editorial: Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-Being) Applications
Front. Comput. Sci.. 2022-02-25. 4
10.3389/fcomp.2022.860619 -
When should MI-BCI feature optimization include prior knowledge, and which one?
Brain-Computer Interfaces. 2022-02-14. 9(2) : 115-128.
10.1080/2326263X.2022.2033073 -
EEG Neurofeedback for anxiety disorders and post-traumatic stress disorders: a blueprint for a promising brain based therapy
Curr Psychiatry Rep. 2021-10-29. 23(12)
10.1007/s11920-021-01299-9 -
Influence of the visuo-proprioceptive illusion of movement and motor imagery of the wrist on EEG cortical excitability among healthy participants
PLoS ONE. 2021-09-02. 16(9) : e0256723.
10.1371/journal.pone.0256723 -
Heading for motor imagery brain-computer interfaces (MI-BCIs) usable out-of-the-lab: Impact of dry electrode setup on classification accuracy
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER). 2021-05-04.
10.1109/NER49283.2021.9441410 -
Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training
Front. Hum. Neurosci.. 2021-03-18. 15
10.3389/fnhum.2021.635653 -
Grand Field Challenges for Cognitive Neuroergonomics in the Coming Decade
Front. Neuroergonomics. 2021-03-08. 2
10.3389/fnrgo.2021.643969 -
A review of user training methods in brain computer interfaces based on mental tasks
J. Neural Eng.. 2021-02-01. 18(1) : 011002.
10.1088/1741-2552/abca17 -
Assessing the Relevance of Neurophysiological Patterns to Predict Motor Imagery-based BCI Users’ Performance
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2020-10-11.
10.1109/SMC42975.2020.9283307 -
A physical learning companion for Mental-Imagery BCI User Training
International Journal of Human-Computer Studies. 2020-04-01. 136 : 102380.
10.1016/j.ijhcs.2019.102380 -
Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)
Brain. 2020-03-16. 143(6) : 1674-1685.
10.1093/brain/awaa009 -
Detecting System Errors in Virtual Reality Using EEG Through Error-Related Potentials
2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 2020-03-01.
10.1109/VR46266.2020.00088 -
Towards BCI-Based Interfaces for Augmented Reality: Feasibility, Design and Evaluation
IEEE Trans. Visual. Comput. Graphics. 2020-03-01. 26(3) : 1608-1621.
10.1109/TVCG.2018.2873737 -
Sport Psychology: Technologies Ahead
Front. Sports Act. Living. 2020-02-13. 2
10.3389/fspor.2020.00010 -
Uncovering EEG Correlates of Covert Attention in Soccer Goalkeepers: Towards Innovative Sport Training Procedures
Sci Rep. 2020-02-03. 10(1)
10.1038/s41598-020-58533-2 -
Editorial – Neurofeedback: a challenge for integrative clinical neurophysiological studies
Neurophysiologie Clinique. 2020-02-01. 50(1) : 1-3.
10.1016/j.neucli.2020.01.001 -
Working Memory Resource Depletion Effect in Academic Learning: Steps to an Integrated Approach
Communications in Computer and Information Science. 2020-01-01. : 13-26.
10.1007/978-3-030-62302-9_2 -
Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies
NeuroImage: Clinical. 2020-01-01. 28 : 102417.
10.1016/j.nicl.2020.102417 -
Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research
Brain-Computer Interfaces. 2019-10-02. 6(4) : 178-189.
10.1080/2326263X.2019.1697143 -
Modélisation des processus cognitifs et neurophysiologiques sous-tendant l’apprentissage neurofeedback : le rôle de l’attention
Neurophysiologie Clinique. 2019-06-01. 49(3) : 198.
10.1016/j.neucli.2019.05.048 -
EEG neurofeedback research: A fertile ground for psychiatry?
L'Encéphale. 2019-06-01. 45(3) : 245-255.
10.1016/j.encep.2019.02.001 -
Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects
Neurophysiologie Clinique. 2019-04-01. 49(2) : 125-136.
10.1016/j.neucli.2018.10.068 -
Defining and Quantifying Users’ Mental Imagery-based BCI skills: a first step
J. Neural Eng.. 2018-06-19. 15(4) : 046030.
10.1088/1741-2552/aac577 -
Using Recent BCI Literature to Deepen our Understanding of Clinical Neurofeedback: A Short Review
Neuroscience. 2018-05-01. 378 : 225-233.
10.1016/j.neuroscience.2018.03.013 -
” Do you feel in control? ” : Towards Novel Approaches to Characterise, Manipulate and Measure the Sense of Agency in Virtual Environments
IEEE Trans. Visual. Comput. Graphics. 2018-04-01. 24(4) : 1486-1495.
10.1109/TVCG.2018.2794598 -
Mind the Traps! Design Guidelines for Rigorous BCI Experiments
Brain–Computer Interfaces Handbook. 2018-01-09. : 613-634.
10.1201/9781351231954-32 -
When HCI meets neurotechnologies: What you should know about Brain-Computer Interfaces
Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. 2017-05-06.
10.1145/3027063.3027100 -
Towards a spatial ability training to improve Mental Imagery based Brain-Computer Interface (MI-BCI) performance: A Pilot study
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2016-10-01.
10.1109/SMC.2016.7844803 -
Human Learning for Brain-Computer Interfaces
Brain–Computer Interfaces 1. 2016-07-29. : 233-250.
10.1002/9781119144977.ch11 -
Why standard brain-computer interface (BCI) training protocols should be changed: An experimental study
J. Neural Eng.. 2016-05-11. 13(3) : 036024.
10.1088/1741-2560/13/3/036024 -
Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates
Progress in Brain Research. 2016-01-01. : 3-35.
10.1016/bs.pbr.2016.04.002 -
Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns
PLoS ONE. 2015-12-01. 10(12) : e0143962.
10.1371/journal.pone.0143962 -
Towards Explanatory Feedback for User Training in Brain-Computer Interfaces
2015 IEEE International Conference on Systems, Man, and Cybernetics. 2015-10-01.
10.1109/SMC.2015.550 -
Continuous Tactile Feedback for Motor-Imagery based Brain-Computer Interaction in a Multitasking Context
Human-Computer Interaction – INTERACT 2015. 2015-01-01. : 488-505.
10.1007/978-3-319-22701-6_36 -
Towards improved BCI based on human learning principles
The 3rd International Winter Conference on Brain-Computer Interface. 2015-01-01.
10.1109/IWW-BCI.2015.7073024 -
EEG-based workload estimation across affective contexts
Front. Neurosci.. 2014-06-12. 8
10.3389/fnins.2014.00114 -
Design and validation of a mental and social stress induction protocol: Towards load-invariant physiology-based stress detection
Proceedings of the International Conference on Physiological Computing Systems. 2014-01-01.
10.5220/0004724100980106