on003458
EEG: Three armed bandit gambling task
EEG
…This makes the task great for investigating reward processing & reward prediction error…
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 4.72 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "Somatosensory Processing" · page 6 of 10 · ranked by relevance
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- on004980
EEG data set for a architectural affordances task
EEG[
- Size
- 15.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005964
FRESH Audio Dataset
NIRS[ # Continuous Feedback Processing Twenty-one participants learned to predict…
- Participants
- 21
- Channels
- 31 (10-10)
- Size
- 3.48 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on002034
Real-time EEG feedback on alpha power lateralization leads to behavioral improvements in a covert attention task
EEGThis dataset contains EEG recordings from 14 healthy participants performing a covert attention task with real-time neurofeedback based on alpha power lateralization. The study investigates whether real-time EEG feedback on alpha power lateralization can lead to behavioral improvements in a covert attention task, employing a single-blinded crossover design comparing real versus sham feedback conditions across three recording sessions.
- Participants
- 14
- Channels
- 64 (10-10)
- Size
- 10.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004706
Spatial memory and non-invasive closed-loop stimulus timing
BEH EEGThis dataset contains behavioral events and electrophysiological recordings from a hybrid spatial-navigation and free recall experiment conducted at the University of Pennsylvania (2021-2022). Participants performed a virtual courier task delivering items across a town, followed by recall testing. The experiment comprised two phases: read-only sessions for generating classifier training data, and closed-loop sessions where stimulus presentation timing was optimized based on real-time neural predictions of memory encoding. The dataset supports investigation of spatial memory dynamics and the efficacy of classifier-based closed-loop stimulation for memory enhancement.
- Participants
- 34
- Channels
- 128 (biosemi)
- Size
- 1.30 TB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000134
Alljoined-1.6M
EEG- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026