EEG: Simon Conflict in Parkinson's
…Data collected circa 2015 in Cognitive Rhythms and Computation Lab at University…
- Participants
- 56
- Channels
- 67 (10-10)
- Citations
- 1
- Size
- 22.3 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
…Data collected circa 2015 in Cognitive Rhythms and Computation Lab at University…
AJILE12 is a long-term naturalistic intracranial dataset of electrocorticography (ECoG) recorded opportunistically from 12 epilepsy patients during clinical monitoring at Harborview Medical Center. Recordings cover 55 full monitoring days (days 3-7 after implantation) with simultaneous video, from which upper-body pose, validated wrist-movement initiation events and coarse behavioural state labels were derived. This iEEG-BIDS representation converts the original NWB release from DANDI without altering signal values.
…Data collected circa 2015 in Cognitive Rhythms and Computation Lab at University…
This dataset contains 62-channel EEG recorded at 500 Hz from 15 healthy participants across two sessions. It combines resting-state recordings with three difficulty levels (easy, medium, difficult) of the MATB-II multitasking paradigm, and was designed for passive brain-computer interface research on cross-session mental workload estimation. The BIDS version is a MOABB-derived conversion of the COG-BCI database, with HED event annotations.
…Data collected circa 2015 in Cognitive Rhythms and Computation Lab at University…
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.
…Electrical spinal cord stimulation promotes focal sensorimotor activation that accelerates brain-computer…
Stereo-EEG (intracerebral) recordings from 28 patients with refractory epilepsy during fast periodic visual stimulation, with natural object images presented at 6 Hz and faces as every fifth image (1.2 Hz) in the periodic condition, or at random positions in a non-periodic control condition. The dataset is a derivative release of the authors' Letswave files, low-pass filtered at 30 Hz and segmented into sequences, repackaged in BIDS (BrainVision) format. It supports mapping of face-selective responses in the human ventral occipito-temporal cortex.
…Data collected circa 2015 in Cognitive Rhythms and Computation Lab at University…
A mobile brain/body imaging (MoBI) dataset of 18 participants walking on a treadmill at constant speed while stepping in time to an auditory tone sequence. Participants adapted step length and rate to occasional shifts in the tempo of the pacing stimulus, to a faster or slower tempo. The dataset supports study of cortical dynamics during gait adaptation.