Neural sources of prediction errors detect unrealistic VR interactions
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac69bc
Abstract: Objective. Neural interfaces hold significant promise to implicitly track user experience. Their application in virtual and augmented reality (VR/AR) simulations is especially favorable as it allows user assessment without breaking the immersive experience. In VR,… read more here.
Keywords: neural sources; prediction errors; eeg sources; sources prediction ... See more keywords
A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources.
Sign Up to like & getrecommendations! Published in 2021 at "International journal of neural systems"
DOI: 10.1142/s0129065721500386
Abstract: In this paper, a hybrid-domain deep learning (DL)-based neural system is proposed to decode hand movement preparation phases from electroencephalographic (EEG) recordings. The system exploits information extracted from the temporal-domain and time-frequency-domain, as part of… read more here.
Keywords: hybrid domain; hand; eeg; eeg sources ... See more keywords