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Data from: Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
- 负责人:
- DOI:
- doi:10.5061/dryad.v46p2jh
- 摘要:
- and the spatial resolution of noninvasive neural data through EEG source imaging. In all, our unique framework enhanced BCI learning by nearly 60% for traditional center
Data from: Noninvasive electroencephalogram based control of a robotic arm for reach and grasp tasks
- 负责人:
- DOI:
- doi:10.5061/dryad.nh109
- 摘要:
- Brain-computer interface (BCI) technologies aim to provide a bridge between the human brain and external devices. Prior research using non-invasive
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