SOURCE RECORD / S0102
BENDR: Using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
BENDR: Using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
- Authors or organization
- Kostas et al.
- Published date
- 2021
- Source type
- peer_reviewed_methods_paper
- Technology route
- EEG
- Function or setting
- representation learning
- Rights status
- manual_review / CC BY (version unspecified)
Evidence summary
Evidence: Self-supervised EEG pretraining. Key figures: not_public. Limitations: Clinical time series not online BCI; transfer and contamination require checking.
Key figures
not_public
Limitations
Clinical time series not online BCI; transfer and contamination require checking