Brain Network Analysis by Stable and Unstable EEG Components.
Link – Brain Network Analysis by Stable and Unstable EEG Components. Abstract OBJECTIVE: Previous studies have already shown that electroencephalography (EEG) brain network (BN) can
Link – Brain Network Analysis by Stable and Unstable EEG Components. Abstract OBJECTIVE: Previous studies have already shown that electroencephalography (EEG) brain network (BN) can
Link – Decoding kinetic features of hand motor preparation from single-trial EEG using convolutional neural networks. Abstract Building accurate movement decoding models from brain signals
Link – All talk? Challenging the use of left-temporal EEG alpha oscillations as valid measures of verbal processing and conscious motor control. Abstract This study
Link – Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network. Abstract In recent years, deep learning (DL) techniques, and in particular convolutional
Link – Random Subspace Ensemble Learning for Functional Near-Infrared Spectroscopy Brain-Computer Interfaces. Abstract The feasibility of the random subspace ensemble learning method was explored to
Link – Frontoparietal Networks Mediate the Behavioral Impact of Alpha Inhibition in Visual Cortex. Abstract Alpha oscillations are known to play a central role in
Link – Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy. Abstract Speech perception is mediated by both left and right auditory cortices but
Link – Decoding personality trait measures from resting EEG: An exploratory report. Abstract Can personality be predicted from oscillatory patterns produced by the brain at
Link – EEG reactivity testing for prediction of good outcome in patients after cardiac arrest. Abstract OBJECTIVE: To determine the additional value of EEG reactivity
Link – Connectome spectral analysis to track EEG task dynamics on a subsecond scale. Abstract We present an approach for tracking fast spatiotemporal cortical dynamics
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