2020 BCI competition, track 3
…This dataset was designed for brain-computer interface research focused on decoding…
- Participants
- 15
- Channels
- 64 (10-10)
- Size
- 585 MB
- Version
- v1.0.0
- Updated
- Mar 14, 2026
…This dataset was designed for brain-computer interface research focused on decoding…
…motor imagery, brain-computer interface, EEG, BCI illiteracy, user training, personality profile…
…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
…A resource for assessing dynamic binary choices in the adult brain using…
[ demonstrating transfer learning for brain-computer interface skill acquisition. The study…
…A generic non-invasive neuromotor interface for human-computer interaction. Nature, 645…
High-density (127-channel) EEG recordings from 30 healthy, right-handed, native Chinese-speaking adults performing imagined and executed vocalization and writing tasks. Stimuli were four Chinese strokes (heng, shu, pie, na) and four English letters (a, b, c, d). The factorial design crossed task mode, action, script and token identity, yielding 32 event-coded conditions and 15,360 task events. The release also includes EEGLAB preprocessing derivatives and subject-level machine-learning exports.