on007454
A common neural mechanism underlies experiences of passage of time
EEG
[
- Size
- 29.6 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
Discover datasets
100 results for "Pitch Perception" · page 8 of 10 · ranked by relevance
-
- nm000272
Romani et al. 2025 — BrainForm: a Serious Game for BCI Training and Data Collection (P300 ERP, University of Trento)
EEGThis dataset comprises scalp EEG recordings from 22 participants who used BrainForm, a gamified brain-computer interface (BCI) designed for P300 event-related potential (ERP) training and scalable data collection with consumer hardware. Participants performed repeated runs of a P300 spelling/selection task, allowing analysis of BCI skill acquisition across sessions and the effects of different visual stimulation textures on performance. The dataset supports research on BCI training, human factors, and machine learning applications on ERP data.
- Participants
- 22
- Channels
- 8 (10-10)
- Citations
- 1
- HED
- v8.4.0
- Size
- 237 MB
- Version
- v1.0.6
- Updated
- Aug 20, 2026
- nm000173
Motor Imagery ataset from Ofner et al 2017
EEG…far, middle_near, middle_ring, pitch, ring_far, ring_little, ring_near…
- Participants
- 15
- Channels
- 61 (10-05)
- Citations
- 94
- HED
- v8.4.0
- Size
- 34.0 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000174
Imagined Speech EEG dataset comparing paradigm designs (Aguilera-Rodriguez et al. 2025)
EEG Zarr verifiedAn EEG dataset of imagined speech from 15 healthy participants comparing traditional cue-based and gamified paradigm designs for brain-computer interface applications. The dataset comprises 1,800 trials of four Spanish directional commands recorded at 500 Hz from 24 electrodes using the mBrainTrain Smarting system. This derivative dataset enables systematic evaluation of paradigm design effects on imagined speech decoding performance.
- Participants
- 15
- Channels
- 24 (10-10)
- Citations
- 1
- HED
- v8.4.0
- Size
- 1.52 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004995
The Time-Course of Food Representation in the Human Brain
EEG[. The study investigates how the brain constructs hierarchical syntactic structure and generates rapid linguistic predictions during continuous speech comprehension. Each word event is annotated with linguistic predictors including lexical frequency, acoustic properties, and surprisal estimates from n-gram, recurrent neural network, and context-free grammar models.
- Participants
- 45
- Channels
- 60 (other)
- Citations
- 127
- Size
- 3.81 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005291
65 By ANT
EEG[
- Size
- 42.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002722
A dataset recorded during development of an affective brain-computer music interface: calibration session
EEGThis dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 19 healthy adult participants during a calibration session of an affective brain-computer music interface system. Participants listened to 40-second synthetic music clips designed to induce specific affective states defined by valence and arousal dimensions across 5 runs of 18 trials each. The synthetic music was generated in real-time based on target emotional states and could be modified online to induce target emotional states. The dataset includes self-reported affective state ratings and auxiliary variables, serving as calibration data for the brain-computer music interface system. This dataset is part of a three-dataset collection that includes offline training and online real-time control sessions.
- Participants
- 19
- Channels
- 32 (10-10)
- Size
- 6.10 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004356
Subcortical responses to music and speech are alike while cortical responses diverge
EEGThis dataset comprises Auditory Brainstem Response (ABR) recordings from 22 healthy young adults (ages 22.7 ± 5.1 years) obtained during continuous presentation of music and speech stimuli. Using a deconvolution method applied to EEG data collected from June to August 2021, the study investigates subcortical and cortical neural responses to different acoustic categories. The dataset includes raw EEG recordings in BrainVision format, stimulus files, and detailed event metadata enabling analysis of neural differentiation between music and speech processing. Two subjects (014 and 021) were excluded due to self-withdrawal and technical data collection issues, respectively.
- Participants
- 22
- Channels
- 34 (10-10)
- Citations
- 21
- Size
- 213 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005280
223 By BP
EEG[
- Size
- 137 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026