on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005241-blue…
- Participants
- 24
- Size
- 140 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neural representations" · page 5 of 10 · ranked by relevance
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- nm000134
Alljoined-1.6M
EEG…The dataset was designed to evaluate whether deep neural network-based brain…
- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000133
Alljoined1
EEG…2. **No Warranties:** Alljoined makes no representations or warranties regarding the Dataset…
- Participants
- 8
- Citations
- 6
- Size
- 7.74 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEG- Participants
- 13
- Citations
- 46
- HED
- v8.4.0
- Size
- 5.14 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000104
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
EMG…100+ users needed for meaningful representations 2. **Personalization essential**: Generic model alone…
- Participants
- 108
- Size
- 223 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- on006107
iEEG_Neural_spatial_volatility
iEEG[
- HED
- v8.4.0
- Size
- 5.42 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002336
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP1
ANAT EEG FUNCThis dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
- Participants
- 10
- Size
- 18.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006802
Collaborative rule learning promotes interbrain information alignment
EEGThis dataset comprises EEG recordings from 24 dyads of participants engaged in collaborative rule learning and categorization tasks. Participants first negotiated rules for a 4-way categorization task, then performed the task while EEG was recorded, with pre- and post-test assessments on identical stimuli. The study investigates information alignment between interacting brains during collaborative learning.
- Participants
- 24
- Size
- 62.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005410
Semantic_conditioning
EEG…Contingency awareness shapes neural responses in fear conditioning. https://doi.org/10…
- Participants
- 81
- Channels
- 63 (10-10)
- Size
- 19.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026