on004745
8-Channel SSVEP EEG Dataset with Artifact Trials
EEG
Imported from OpenNeuro ds004745
- Participants
- 6
- Channels
- 8 (other)
- Citations
- 27
- Size
- 242 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "unsupervised learning" · page 2 of 10 · ranked by relevance
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- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEGThis dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
- Participants
- 20
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 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
- nm000177
Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)
EEG…The study compares two domain adaptation frameworks—Generic Recentering (unsupervised) and Personally…
- Participants
- 18
- Channels
- 22 (10-10)
- Citations
- 49
- HED
- v8.4.0
- Size
- 14.4 GB
- Version
- v1.0.4
- Updated
- Aug 20, 2026
- on004809
Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories
BEH iEEGThis dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.
- Participants
- 258
- Citations
- 1
- Size
- 477 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004295
Reward gain and punishment avoidance reversal learning
EEG…82901/nemar.on004295) Two reversal learning tasks with different reinforcer (monetary reward…
- Participants
- 26
- Channels
- 66 (10-10)
- Citations
- 20
- Size
- 31.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004315
Mood Manipulation and PST, Experiment 1
EEG…10.82901/nemar.on004315) Reinforcement learning task with 50 healthy controls (25…
- Participants
- 50
- Channels
- 66 (10-10)
- Citations
- 1
- Size
- 9.81 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006459
High-DensityvSparsefNIRS_WordColorStroop_Sparse_Anderson_2025
NIRSThis dataset comprises high-density and sparse functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study investigates whether high-density multi-distance fNIRS configurations enhance detection of brain activity compared to conventional sparse probe arrangements. Raw neuroimaging data from multiple participants are provided in BIDS format to support reproducible analysis of cognitive control mechanisms.
- Participants
- 17
- Size
- 169 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004147
Average Task Value
BEH EEG…Value Twelve participants completed three learning tasks. In each task the goal…
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 4
- Size
- 4.00 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003506
EEG: Reinforcement Learning in Parkinson's
EEG…10.82901/nemar.on003506) Reinforcement learning task with 28 Parkinson patients and…
- Participants
- 56
- Channels
- 67 (10-10)
- Citations
- 2
- Size
- 16.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026