on003694
MEGMEM
MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003694-blue…
- Participants
- 28
- Citations
- 3
- Size
- 218 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "encoding model" · page 5 of 10 · ranked by relevance
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- on004752
Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task
EEG iEEG…Subjects performed a modified Sternberg task in which the encoding of memory…
- Participants
- 15
- Channels
- 19 (10-20)
- Citations
- 47
- Size
- 11.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000241
CerebroVoice: Bilingual sEEG Speech Dataset
iEEG- Participants
- 2
- Size
- 1.87 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005189
Search Superiority Recollection Familiarity
BEH EEG…Behavioral data is split into encoding (Encode_beh) and memory testing (Test…
- Participants
- 30
- Channels
- 61
- Citations
- 1
- Size
- 17.0 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000146
Motor Imagery dataset from Weibo et al 2014
EEG Zarr verifiedThis dataset contains EEG recordings from 10 healthy, right-handed participants performing simple and compound limb motor imagery tasks, including imagined movements of the left hand, right hand, both hands, feet, and combined hand-foot movements, as well as rest periods. The data were collected using a 60-channel EEG system (plus EOG channels) at Tianjin University to study EEG oscillatory patterns and cognitive processes underlying motor imagery, and have been converted to BIDS format with HED event annotations by the MOABB project.
- Participants
- 10
- Channels
- 60 (10-10)
- Citations
- 94
- HED
- v8.4.0
- Size
- 5.64 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on004256
Encoding of Sound Source Elevation in Human Cortex
BEH EEG[
- Size
- 18.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEGThis dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 46
- HED
- v8.4.0
- Size
- 5.15 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on004521
Changes in behavioral priority influence the accessibility of working memory content - Experiment 1
EEG[
- Size
- 10.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006392
HED schema library for SCORE annotations example
iEEGThis BIDS example dataset contains intracranial EEG (iEEG) recordings from a single subject collected during clinical photic stimulation at Mayo Clinic. It demonstrates the use of the HED-SCORE (Standardized Computer-based Organized Reporting of EEG) schema library for annotating events in a machine-readable, BIDS- and HED-validated format, supporting standardized event annotation practices in EEG/iEEG research.
- Participants
- 1
- Citations
- 2
- HED
- vscore_2.0.0
- Size
- 32.0 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006735
Chimeric music reveals an interaction of pitch and time in electrophysiological signatures of music encoding
EEG[
- Size
- 193 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026