Sensing Brain Activity Using Eeg And Machine Learning

This special issue aims to collect papers presenting recent research on brain activity sensing, analysis, and recognition using machine learning techniques on EEG data. This includes various applications of machine learning to EEG analysis such as noise reduction, artefact detection, brain connectivity, and limited spatial resolution. Submitted manuscripts should not have been published previously and will be peer-reviewed.