Fusing highly dimensional energy and connectivity features to identify affective states from EEG signals
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.03.027
Abstract: In this paper, a novel method for affect detection is presented. The method combines both connectivity-based and channel-based features with a selection method that considerably reduces the dimensionality of the data and allows for an… read more here.
Keywords: highly dimensional; dimensional energy; fusing highly; energy ... See more keywords
Brain Decoding Using fMRI Images for Multiple Subjects through Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/1124927
Abstract: Substantial information related to human cerebral conditions can be decoded through various noninvasive evaluating techniques like fMRI. Exploration of the neuronal activity of the human brain can divulge the thoughts of a person like what… read more here.
Keywords: fmri images; training time; brain; deep learning ... See more keywords