BCIT Calibration Driving
…was demonstrated and lack of motion sickness was reported. Subjects were then…
- Participants
- 156
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 124 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "motion visually evoked potentials" · page 10 of 10 · ranked by relevance
…was demonstrated and lack of motion sickness was reported. Subjects were then…
This BIDS-formatted derivative dataset comprises EEG recordings from 15 healthy participants performing a visual P300 oddball task during treadmill walking at 1.6 m/s. The study includes simultaneous scalp-EEG (46 channels), ear-EEG (14 channels), electrooculography (4 channels), and inertial measurement unit recordings (6 channels) sampled at 100 Hz. Data were collected as part of BCI Competition 2020 Track 5 to evaluate brain-computer interface performance under ambulatory conditions. Trials are temporally divided into training, validation, and test sets.
…Overt speech production task - Participants vocalize visually presented text ## File Format Notes…
This dataset contains non-invasive spinal cord recordings from 30 healthy young subjects performing an auditory-somatosensory expectation task. Participants received electric median nerve stimulations preceded by auditory cues at either fixed (1100 ms) or variable (100-2100 ms) intervals, while counting rare double-stimulus trials. The study investigates whether temporal expectation modulates initial sensory processing in the human spinal cord using high-frequency electrophysiological recordings from three electrode rings positioned around the cervical spine.
Imported from OpenNeuro ds007315
…Diffusion Modeling and event-related potentials. Psychophysiology, e14406. https://doi. org/10…
This dataset comprises high-density electroencephalography (EEG) recordings acquired during a visual stimulation task. Raw data are organized according to the EEG-BIDS specification and stored in BrainVision format. The dataset represents a single session of data collection and serves as a resource for investigating neural responses to visual stimuli.
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
…braille letter representations in the visually deprived brain". Please cite the above…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000240-blue…