38 results for "BNCI" · page 3 of 4 · ranked by relevance
…nm000249) # BNCI 2022-001 EEG Correlates of Difficulty Level dataset BNCI 2022…
…BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients BNCI…
…nemar.nm000162) # BNCI 2025-001 Motor Kinematics Reaching dataset BNCI 2025-001…
…1.2.0 See Also BNCI2015_008 : Center Speller P300 dataset (gaze…
This dataset contains EEG recordings from a collaborative brain-computer interface (BCI) study using rapid serial visual presentation (RSVP) for target image detection. Fourteen healthy subjects, organized into seven pairs, performed synchronized RSVP tasks distinguishing human from non-human images, generating p300-like event-related potentials. The dataset is a BIDS-formatted derivative converted using the MOABB toolbox from the original data by Zheng et al. (2020).
BigP3BCI Study A is a derivative P300 brain-computer interface dataset containing 32-channel EEG recordings from 13 healthy subjects performing a visual speller task using a 6×6 checkerboard stimulus paradigm. The dataset comprises EEG data sampled at 256 Hz with binary classification of target and non-target events, annotated using HED 8.4.0 schema and processed through the MOABB framework.
…Data are available from the BNCI Horizon 2020 database at http://bnci…
A multi-day motor imagery brain-computer interface (MI-BCI) dataset comprising EEG recordings from 51 healthy subjects performing left and right hand motor imagery tasks across three sessions. The dataset includes 59-channel EEG data (plus 1 ECG and 4 EOG channels) sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials with visual and auditory cues. This resource supports the development and benchmarking of BCI algorithms for motor control applications.
…from multiple source datasets (Cho2017, BNCI2014, PhysionetMI) to target datasets with different…
This dataset contains EEG, eye-tracking, and behavioral data from the Basic Guard Duty study, part of a larger project examining sustained vigilance in realistic task settings. Participants performed a two-alternative forced-choice ID verification task, judging the validity of replica identification cards presented at varying rates, while high-density EEG (256+8 channels) and eye-tracking data were recorded. The task was designed to probe attentional and vigilance dynamics under varying cognitive load, complementing companion driving tasks not included in this release.