SOURCE RECORD / S0127
Deep Learning in EEG-Based BCIs: Transformer Models Advantages Challenges and Applications
Deep Learning in EEG-Based BCIs: Transformer Models Advantages Challenges and Applications
- Authors or organization
- Roy et al.
- Published date
- 2024
- Source type
- peer_reviewed_review
- Technology route
- noninvasive EEG
- Function or setting
- algorithm review
- Rights status
- metadata_only
Legacy aliases
—
Related topics
- BCI 最优方案
Evidence summary
Evidence: Transformer advantages and limitations. Key figures: not_public. Limitations: Review is not performance endorsement.
Key figures
not_public
Limitations
Review is not performance endorsement
This source currently has a local metadata record only. No public mirror is provided because redistribution permission has not been confirmed; use the original source above for verification.