A BIDS-standardized example dataset of simultaneously recorded EEG and eye-tracking data from a single subject, drawn from the EEGEyeNet resource. EEGEyeNet was designed as a dataset and benchmark for eye movement prediction from EEG. This version reformats the original Open Science Framework data to the BIDS standard.
…Low-frequency cortical entrainment to speech reflects phoneme-level processing. Current Biology…
VEPCON is a multimodal BIDS dataset with high-density EEG, structural MRI and diffusion-weighted imaging from 20 participants. Visual evoked potentials were recorded during face versus scrambled-face discrimination and coherent versus incoherent motion discrimination. Derivatives include preprocessed single-trial EEG, FreeSurfer outputs, multi-scale brain parcellations (83 to 1015 regions), structural connectomes, and EEG source-imaging inverse solutions, supporting multimodal methods development and structure-function studies.
…Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 32-46…
…360.0 Hz ## Signal Processing - **Classifiers**: template matching, CCA - **Feature extraction**: correlation…
…standard/hed-examples/tree/main/hedcode/jupyter_notebooks/dataset_specific_processing/sternberg
…source for anonymity). - No other processing is stated; the data are the…
…up to the stage of processing that their data reached. Due to…
…150 grasping + 100 twisting) Signal Processing ----------------- Classifiers: CSP+RLDA Feature extraction: CSP…
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