FACED - Finer-grained Affective Computing EEG Dataset
- Participants
- 123
- Channels
- 32 (10-10)
- Citations
- 97
- Size
- 31.4 GB
- Version
- v1.1.3
- Updated
- Jul 10, 2026
100 results for "unsupervised learning" · page 3 of 10 · ranked by relevance
…Motor Imagery Dataset B — transfer learning benchmark ## Overview Beetl2021-B is a…
This dataset comprises intracranial EEG recordings and behavioral events from a categorized free recall task with closed-loop electrical stimulation applied during encoding. Participants studied word lists organized by semantic category, performed arithmetic distractor tasks, and freely recalled words, while a classifier trained on prior encoding data determined stimulation delivery based on predicted memory encoding success. Data were collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, as part of the DARPA Restoring Active Memory (RAM) project.
…For learning trial 1, participants are placed at a random location at…
Imported from OpenNeuro ds003801
…nemar.on004515) Affective state reinforcement learning task in N=54 Community participants…
…For learning trial 1, participants are placed at a random location at…
This dataset contains behavioral events and intracranial electrophysiology recordings from a delayed free recall task with closed-loop electrical stimulation delivered during encoding, guided by a classifier trained on encoding data. Participants studied lists of visually presented words, performed arithmetic distractor tasks, and then freely recalled the words. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, and represent a closed-loop stimulation extension of the FR1 and FR2 free recall datasets.
…In the active learning group, participants completed a review session using the…
Imported from OpenNeuro ds002718