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Kojima et al. 2024 (Dataset A) — An auditory brain-computer interface based on selective attention to multiple tone streams

This dataset comprises 64-channel EEG recordings from 11 healthy participants performing an auditory P300-based brain-computer interface task using selective attention to multiple tone streams. Participants attended to one of three auditory streams of musical tones and counted target stimuli while P300 event-related potentials were recorded. Classification using Riemannian geometry achieved >80% accuracy for 5 subjects and >75% for 9 subjects, demonstrating the feasibility of multi-class auditory BCIs based on auditory stream segregation.

Participants: 11
Channels: 64 (10-10)
Citations: 11
HED: v8.4.0
Size: 6.31 GB
Version: v1.0.4
Updated: Aug 18, 2026

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Kojima et al. 2024 (Dataset A) — An auditory brain-computer interface based on selective attention to multiple tone streams

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