The BMI-HDEEG dataset 3
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 22
- Channels
- 129 (egi-geodesic)
- Size
- 20.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "rhythm perception" · page 3 of 10 · ranked by relevance
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
This dataset comprises EEG recordings from 27 participants listening to original and chimeric music stimuli, designed to investigate pitch-time interactions in music encoding. Chimeric music pairs two distinct melodies with exchanged pitch contours and note onset-times, thereby dissociating pitch and temporal information while preserving marginal statistics. The study employs electrophysiological recordings to characterize how the brain encodes musical patterns when pitch and temporal sequences are decorrelated.
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
…Data collected from 2019-2021 in Cognitive Rhythms and Computation Lab at…
This dataset comprises EEG recordings from elderly dementia patients during 40Hz auditory entrainment sessions designed to investigate the effects of gamma-band brain stimulation on neural oscillations. Participants underwent either short (6 trials) or long (10 trials) sessions of auditory stimulation while 19-channel EEG was recorded at 250Hz. The study examines whether auditory entrainment enhances default mode network connectivity through non-invasive acoustic brain stimulation.
This dataset comprises electroencephalography (EEG) recordings from 21 participants learning to perform two distinct drumming patterns at three different tempos using keyboard responses. Participants received real-time visual feedback indicating response timing accuracy (early, on-time, or late) relative to target durations. The study investigates motor learning and timing control during sequential pattern acquisition, with detailed event markers capturing metronome beats, response types, and feedback outcomes across 72 trials per participant.
…Data collected in 2014 in the Cognitive Rhythms and Computation Lab, University…
…Pathology**: Healthy - **Modality**: Auditory - **Type**: Perception, Attention ## Documentation - **Description**: Multi-streamed musical…
…Data collected from 2019-2021 in Cognitive Rhythms and Computation Lab at…