nm000259
Speier et al. 2017 — A comparison of stimulus types in online classification of the P300 speller using language models
EEG
This dataset comprises EEG recordings from 10 healthy participants performing a P300 speller task using a 6×6 character matrix. The study compares two stimulus conditions—famous faces and inverted faces—to evaluate their effects on online P300 classification performance using language models. Data were collected across 2 sessions per subject with 3 runs per session, sampled at 256 Hz from 32 EEG channels.
- Participants
- 10
- Channels
- 32 (10-10)
- Citations
- 28
- HED
- v8.4.0
- Size
- 773 MB
- Version
- v1.0.2
- Updated
- Aug 11, 2026