Visual Occlusions with Treadmill Walking Speeds EEG
…All participants reported normal vision (20/20) with or without corrective contact…
- Participants
- 15
- Channels
- 120 (other)
- Size
- 3.31 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
100 results for "high-level vision" · page 6 of 10 · ranked by relevance
…All participants reported normal vision (20/20) with or without corrective contact…
This dataset comprises simultaneous EEG-fMRI recordings from 22 participants (ages 23-51) during naturalistic viewing, collected at the Nathan Kline Institute. The 64-channel EEG data (61 cortical channels, 2 EOG, 1 ECG) was acquired concurrently with fMRI, supplemented by eye-tracking and respiratory recordings. The dataset includes demographic information and behavioral assessments (sleep quality, caffeine intake) to investigate correlations between electrical brain activity and hemodynamic fluctuations during naturalistic stimulation.
…All participants reported normal or corrected to normal vision and no history…
This dataset contains EEG recordings from 23 participants performing a passive viewing task involving partially occluded and uncovered visual scenes containing varying numbers of game pieces. The study investigates how the brain processes numerosity information under conditions of occlusion and disocclusion. Participants viewed scenes with 4 or 32 initially visible game pieces, followed by uncovering to reveal different numbers of additional pieces, across 640 trials.
…Self-reported normal or correctable to normal vision. **Subject exclusion criteria** 1…
…low pain) and 3.5J (high pain), while participants 136-142 received…
…https://doi.org/10.5281/zenodo.10797803 ## Phenotype data note Session-level…
Beetl2021-B is a preprocessed EEG dataset from the NeurIPS 2021 BEETL competition, focused on transfer learning for motor imagery decoding. It contains 32-channel EEG recordings from 2 healthy subjects performing a 4-class motor imagery task (left hand, right hand, feet, rest) sampled at 200 Hz. The dataset is designed to benchmark transfer learning and domain adaptation algorithms addressing cross-subject and cross-dataset generalization challenges in brain-computer interfaces.
…pain) and 3.5J / 4J (high pain). Each participant underwent stimulation in…
…All had normal or adjusted to normal vision and hearing (none wore…