Speier et al. 2017 — A comparison of stimulus types in online classification of the P300 speller using language models
Year: 2026
Type: dataset
Abstract: 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 using language models. Data were collected across 2 sessions per subject with 3 runs per session, recorded at 256 Hz from 32 EEG channels using a g.tec amplifier.
Source: UC San Diego
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7202204284