EEG: Probabilistic Selection Task (PST) + PST with Cabergoline Challenge
…For example. Joe Smith would have been 305 on visit 1, then…
- Participants
- 110
- Channels
- 64 (10-10)
- Citations
- 58
- Size
- 22.1 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
…For example. Joe Smith would have been 305 on visit 1, then…
…MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data…
This dataset contains behavioral events and intracranial EEG recordings from a delayed free recall task with closed-loop electrical stimulation delivered during word encoding. A logistic regression classifier trained on participants' prior free recall sessions predicts subsequent recall from encoding-period neural activity, and stimulation is triggered when predicted recall is low. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
…For example: ``<hfo_type>_<channel_name>`` is the form. Reference Dataset -------------------------- The…
…University of Reading Research Data Archive - **Data URL**: https://researchdata.reading.ac…
…data. ## Sessions Sessions are labeled by recording date in YYYYMMDD format. - Example…
…Used as a BIDS-example data set for EEG + motion : https://github…
EEG recordings from fifteen healthy participants who executed and imagined six sustained upper limb movements (elbow flexion/extension, forearm supination/pronation, hand open/close) plus a rest condition, in two separate sessions. The dataset supports decoding of single upper limb movements from the time-domain of low-frequency EEG. It is relevant to non-invasive control of motor neuroprostheses and robotic arms. This BIDS version was generated from the original BNCI Horizon 2020 data using MOABB.
…The dataset is therefore labelled DatasetType "derivative". sub-04, sub-07 and…
A calibrated task subset of Kai J. Miller's library of human electrocorticographic (ECoG) data, comprising 111 recordings from 24 epilepsy patients with subdural electrode grids. Tasks include finger flexion, hand gestures, motor movement and imagery, and verb generation and noun reading. Data were recorded at 1 kHz and converted to BIDS in BrainVision format with source-documented amplitude calibration.