Motor Imagery dataset from Weibo et al 2014
- Participants
- 10
- Channels
- 60 (10-10)
- HED
- v8.4.0
- Size
- 1.60 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "Broad-Band Visually Evoked Potentials" · page 10 of 10 · ranked by relevance
…HGA: High-gamma activity - BBS: Broadband signal Tasks: Chinese reading, English reading…
…Brain-computer interfaces based on code-modulated visual evoked potentials (c-VEP…
…MAMEM Steady State Visually Evoked Potential EEG Database `<https://archive.physionet.org…
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.
…The experiment consists of participants studying a list of words, presented visually…
BigP3BCI Study C is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects performing a visual speller task using a 6x6 checkerboard paradigm. The dataset contains single-session recordings with 32-channel EEG data sampled at 256 Hz, annotated with target and non-target event labels. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is formatted according to BIDS standards with HED event annotations for machine learning applications.
…Overt speech production task - Participants vocalize visually presented text ## File Format Notes…
A P300 brain-computer interface EEG dataset comprising recordings from 19 healthy participants across 3 sessions. The study investigates the effects of visual stimulation conditions (standard flash versus cartoon face stimuli) on P300-BCI performance using an 8-channel montage sampled at 256 Hz, with data collected using a P300 paradigm across 5 grid sizes and including target and non-target event classifications. This is a BIDS-formatted derivative dataset converted from OpenNeuro ds003190 using the MOABB pipeline.