on005558
Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG
…The classifier ouput for each presented item on the first 4 lists…
- Participants
- 9
- Size
- 12.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "classifier" · page 1 of 10 · ranked by relevance
-
- 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
- on005557
Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG…If the classifier output is below the median classifier output from the…
- Participants
- 18
- Size
- 34.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
EEGTHINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 82
- Size
- 198 GB
- Version
- v1.1.0
- Updated
- Jul 10, 2026
- on004706
Spatial memory and non-invasive closed-loop stimulus timing
BEH EEG…In read-only sessions, there is no classifier-based timing manipulation and…
- Participants
- 34
- Channels
- 128 (biosemi)
- Citations
- 5
- Size
- 1.30 TB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000182
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO)
iEEGA multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.
- Participants
- 24
- Size
- 15.0 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- nm000192
BNCI 2015-006 Music BCI dataset
EEG…91.0% - **Binary Classifier Accuracy Synth Pop**: 69.25 - **Binary Classifier Accuracy…
- Participants
- 11
- Channels
- 64 (10-10)
- Citations
- 83
- HED
- v8.4.0
- Size
- 11.8 GB
- Version
- v1.0.1
- Updated
- Aug 18, 2026
- nm000216
P300 dataset BI2015a from a "Brain Invaders" experiment
EEG…visual (game interface with real-time adaptive Riemannian RMDM classifier) - **Stimulus type…
- Participants
- 43
- Channels
- 32 (10-10)
- Citations
- 39
- HED
- v8.4.0
- Size
- 6.19 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000264
Vaineau, Barachant & Andreev 2013 — Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset (BI2013a)
EEG…In Non-Adaptive mode, Training data calibrated the MDM classifier for Online…
- Participants
- 24
- Channels
- 16 (10-10)
- Citations
- 6
- HED
- v8.4.0
- Size
- 3.00 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- nm000177
Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)
EEG…processed with Riemannian geometry-based classifiers. ## Dataset Summary | Property | Value | |---|---| | Subjects | 18…
- Participants
- 18
- Channels
- 22 (10-10)
- Citations
- 49
- HED
- v8.4.0
- Size
- 14.4 GB
- Version
- v1.0.4
- Updated
- Aug 20, 2026