…102 signals (100 sEEG contacts labelled `EEG <electrode><contact>`, 2 marker inputs…
This dataset contains stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task in the epilepsy monitoring unit at Oregon Health & Science University. The data were analyzed in collaboration with the University of Oregon and were used to characterize movement-related oscillations in intracranial recordings. It is organized in BIDS format.
…DC1`–`DC16` (Nicolet DC auxiliary inputs); TRIG for `TRIG`; MISC for `OSAT…
…Inpt_RZ2_chnNNN` = analog TTL inputs (TRIG) that carry the task triggers…
This dataset contains EEG recordings from 20 healthy participants in Study G of the bigP3BCI collection, a large open P300-based brain-computer interface resource. Participants used a 9x8 character grid speller with checkerboard/dynamic stimulus presentation. Data were recorded with 16 EEG channels at 256 Hz, and target and non-target events are annotated with HED tags. The recordings support machine learning development for P300 speller BCIs.
…bids; mne_bids.anonymize_dataset("<input>", "<output>", random_state=<number>, daysback=<number…
This dataset contains simultaneously recorded scalp EEG and intracranial EEG (depth electrodes) from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Encoding, maintenance, and recall are temporally separated. It includes electrode MNI coordinates with anatomical labels, trial-level behavioral information, and LCMV beamforming-reconstructed virtual sensor data for several cortical regions. The data support studies of working memory, connectivity, and replay of memory items.
…These inputs and the code are included under `sourcedata/`, but no `events…
Study P of the bigP3BCI collection, an open, machine-learning-ready P300-based brain-computer interface dataset. It contains 32-channel EEG recorded at 256 Hz from 19 participants with ALS, each over two sessions, while they used a 9x8 character grid speller with predictive and non-predictive spelling paradigms. Target and non-target flash events are annotated with HED tags, and the data are reformatted from the original PhysioNet release into BIDS.
…to a common average, and input to independent component analysis (ICA) to…