100 results for "Sternberg task" · page 10 of 10 · ranked by relevance
…Finally, marker numbers 101, 102, 103, and 104, indicated the task detected…
This dataset is a BIDS-standardized version of simultaneously collected EEG and eye-tracking data from one subject, derived from the larger EEGEyeNet dataset. It provides a resource for studying the relationship between neural activity and eye movements, supporting benchmarking of eye movement prediction models. The data were originally collected as part of a study approved by the Institutional Review Board of Canton Zurich.
…Raw EEG data for 6 task paradigms (yielding 7 ERP components) from…
A high-gamma EEG dataset comprising 14 healthy subjects performing motor imagery tasks (left hand, right hand, feet, and rest) recorded at 500 Hz with 128 channels. This is a BIDS-formatted derivative of the original dataset described in Schirrmeister et al. 2017, which was used to develop and validate deep convolutional neural networks for end-to-end EEG decoding. The derivative demonstrates that deep learning approaches can match or exceed traditional feature-based methods (FBCSP) while learning interpretable spectral power modulations in alpha, beta, and high-gamma frequency bands.
…The task was performed in conjunction with two other tasks a calibration…
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 66-channel recordings (64 EEG + 1 EOG + 1 stim) at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.
A multi-joint upper-limb motor imagery EEG dataset comprising 18 healthy subjects performing eight distinct imagery tasks involving hand, wrist, elbow, and shoulder movements. The dataset contains 320 trials per subject acquired at 1000 Hz using 62-channel EEG with visual cue-based paradigm, designed for brain-computer interface research and motor rehabilitation applications.
…Raw EGI MFF files were imported with EEGLAB, task-specific events were…
…task-movie_run-xx_channels.tsv |---sub-xx_ses-movie_task-movie…