BCIT Speed Control
…wheel and brake / foot pedals (Real Time Technologies; Dearborn, MI); Video Refresh…
- Participants
- 32
- Channels
- 64 (10-10)
- Citations
- 41
- HED
- v8.0.0
- Size
- 36.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "real-time neurofeedback" · page 9 of 10 · ranked by relevance
…wheel and brake / foot pedals (Real Time Technologies; Dearborn, MI); Video Refresh…
This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.
…wheel and brake / foot pedals (Real Time Technologies; Dearborn, MI); Video Refresh…
…EEG, real-time decoding of difficulty, closed-loop adaptation, (simulated) flying, workload…
This open-access EEG dataset comprises multi-session, multi-task recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface research and mental workload estimation in neuroergonomic applications.
Imported from OpenNeuro ds003380
…wheel and brake / foot pedals (Real Time Technologies; Dearborn, MI); Video Refresh…
…Note we have since made minor adjustments to the task which really…
…and EEG recordings during playing real MOBA game with 23 participants. # Dataset…
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a P300-based speller task across three sessions. The dataset comprises 2,520 trials of visual event-related potential data acquired at 1000 Hz using a 64-channel Neuroscan system (64 EEG channels + 1 EOG + 1 stimulus channel), designed to enable analysis of ocular activity patterns and their relationship to brain-computer interface performance across multiple BCI paradigms.