Individual Differences in Motor Imagery BCIs: a Study of Gender, Mental States and Mu Suppression-Reference-Cited by-同舟云学术

Individual Differences in Motor Imagery BCIs: a Study of Gender, Mental States and Mu Suppression

Published:2022-02-21 Issue: Volume: Page:
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Container-title:2022 10th International Winter Conference on Brain-Computer Interface (BCI)
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Author:

Alimardani Maryam¹,Gherman Diana-Eliza²

Affiliation:

1. Tilburg University,Department of Cognitive Science and AI,Tilburg,the Netherlands

2. Brandenburg University of Technology Cottbus-Senftenberg,Chair of Lichtenberg Professorship Neuroadaptive Human-Computer Interaction,Cottbus,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9734304/9734309/09735067.pdf?arnumber=9735067

Reference39 articles.

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

2. Functional Connectivity Analysis in Motor-Imagery Brain Computer Interfaces

3. Mindfulness Improves Brain–Computer Interface Performance by Increasing Control Over Neural Activity in the Alpha Band

4. Effects of Long-Term Meditation Practices on Sensorimotor Rhythm Based BCI Learning;jiang;Frontiers in Neuroscience,2020

5. Effect of mindfulness meditation on brain–computer interface performance

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