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Léa Pillette

French Institute for Research in Computer Science and Automation

23

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51

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

2021 International Journal of Human-computer Studies \/ International Journal of Man-machine Studies
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Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training.

2021 Frontiers in Human Neuroscience
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Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies

2020 NeuroImage: Clinical
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A review of user training methods in brain computer interfaces based on mental tasks.

2020 Journal of Neural Engineering
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Channel selection over riemannian manifold with non-stationarity consideration for brain-computer interface applications

2020 ICASSP | International Conference on Acoustics, Speech, and Signal Processing
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A user-centred approach to unlock the potential of non-invasive BCIs: an unprecedented international translational effort

2020
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Redefining and Adapting Feedback for Mental-Imagery based Brain-Computer Interface User Training to the Learners’ Traits and States

2019
- Léa Pillette
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Do experimenters have an influence on MI-BCI user training?

2019
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Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces. (arXiv:1905.09658v1 [cs.HC])

2019
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Would Motor-Imagery based BCI user training benefit from more women experimenters?

2019
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