BNCI 2015-009 AMUSE (Auditory Multi-class Spatial ERP) dataset
The BNCI 2015-009 AMUSE dataset comprises EEG recordings from 21 healthy subjects performing an auditory oddball task using spatial hearing cues for brain-computer interface applications. Participants discriminated target and non-target stimuli presented from five spatially distributed speakers with varying inter-stimulus intervals, yielding preprocessed data suitable for P300-based BCI research and offline classification studies.
- Participants
- 21
- Channels
- 60 (10-10)
- Citations
- 160
- HED
- v8.4.0
- Size
- 16.5 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026