Driving with Autonomous Aids
…State measures will be derived from EEG, EOG (electrooculography), ECG, EDA, and…
- Participants
- 24
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 43.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
21 results for "electrooculography" · page 2 of 3 · ranked by relevance
…State measures will be derived from EEG, EOG (electrooculography), ECG, EDA, and…
This dataset contains EEG recordings from participants performing a novel instruction-following task and an accompanying 1-back localizer task, designed to investigate how complex task instructions are represented and implemented in the brain. Each participant completed a single session including 16 blocks of the main instruction-following task, requiring integration or selection of visual features across sequential instruction screens, and 8 blocks of a localizer task. The dataset is intended to support research on instruction-based cognitive control and rule representation.
[, electrocardiogram (ECG), and pupillography recordings from 75 participants (36 young and 39 older adults) during auditory cued reaction time tasks and passive listening conditions. Participants performed a simple reaction time task and a go/no-go task, with EEG acquired at 500 Hz using 64 scalp electrodes, ECG recorded bipolarly from chest electrodes, and pupil data sampled at 240 Hz. The dataset is designed to investigate age-related differences in neural, cardiac, and pupillary responses during cognitive and perceptual decision-making tasks.
…O1, PSG_O2). - **PSG_EOG**: Electrooculography signals recorded with the PSG system…
VEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks (face vs. scrambled faces, coherent vs. incoherent motion). The dataset includes preprocessed EEG single trials, individual brain parcellations at five spatial resolutions, structural connectomes derived from diffusion data, and EEG source imaging solutions based on individual anatomy. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.
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.
This dataset comprises intracranial EEG (iEEG) recordings from 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing 41 instances of high-frequency cortical stimulation that evoked negative motor responses. Each recording includes pre- and post-stimulation epochs used for connectivity analysis, along with detailed stimulation parameters. The dataset supports research into the cortical networks underlying negative motor phenomena elicited by direct electrical stimulation.
This dataset contains laser-evoked potential recordings capturing neural responses in the human spinal cord and cortex following nociceptive laser stimulation. It was collected to investigate the neurophysiological processing of pain-related signals across spinal and cortical levels. The dataset is organized according to the BIDS standard for electrophysiological data.
This dataset comprises intracranial EEG (iEEG) recordings from 22 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing responses to 115 high-frequency cortical stimulations that evoked visual hallucinations. Each recording includes 21 seconds of iEEG data surrounding each stimulation event, with detailed annotations of stimulation parameters and 14 categories of evoked clinical visual phenomena. The dataset supports investigation of brain networks underlying stimulation-evoked visual symptoms and enables construction of symptom-related activation and connectivity maps.