Audio-Tactile Syllables EEG Dataset from 16 Subjects

Sixteen subjects participated in a syllable discrimination task while receiving tactile pulses at a 5Hz rhythm. The dataset contains behavioral responses and EEG recordings from an hour-long session at 1kHz sampling rate, collected by Pierre Guilleminot at Imperial College London. It includes trial-level data on syllable type, tactile condition, and subject performance.

Use Cases

• Analyze neural entrainment patterns based on EEG responses to rhythmic audio-tactile stimuli.
• Model behavioral performance in syllable discrimination based on tactile condition and phase.
• Investigate individual differences in multisensory processing based on data from 16 distinct subjects.

Strengths

• Includes data from 16 subjects, each with a unique identifier.
• Combines high-temporal-resolution EEG (1kHz) with detailed trial-by-trial behavioral logs.
• Specifies precise audio-tactile phase delays (150ms, 200ms, 250ms, 300ms) used in the experiment.

Limitations

• Row count and total dataset size are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the description.
• Last update date is unknown; freshness unverified.

Provenance

Source

Pierre Guilleminot, Imperial College London

Collection Method

Recorded during a controlled experiment involving a syllable discrimination task with tactile stimulation.