Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users’ Performance
Author:
Funder
European Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9282733/9282811/09283307.pdf?arnumber=9283307
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces;Brain-Computer Interfaces;2024-05-04
2. Prediction of Motor-Imagery-BCI performance using Median Nerve Stimulation;2024 12th International Winter Conference on Brain-Computer Interface (BCI);2024-02-26
3. Analyzing and computing humans by means of the brain using Brain-Computer Interfaces - understanding the user – previous evidence, self-relevance and the user’s self-concept as potential superordinate human factors of relevance;Frontiers in Human Neuroscience;2024-02-16
4. Individual Differences in Motor Imagery BCIs: a Study of Gender, Mental States and Mu Suppression;2022 10th International Winter Conference on Brain-Computer Interface (BCI);2022-02-21
5. When should MI-BCI feature optimization include prior knowledge, and which one?;Brain-Computer Interfaces;2022-02-14
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