EEG time-warping to study non-strictly-periodic EEG signals related to the production of rhythmic movements
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2018.07.016
Abstract: BACKGROUND Many sensorimotor functions are intrinsically rhythmic, and are underlined by neural processes that are functionally distinct from neural responses related to the processing of transient events. EEG frequency tagging is a technique that is… read more here.
Keywords: strictly periodic; eeg time; time; time warping ... See more keywords
A systematic comparison of deep learning methods for EEG time series analysis
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2023.1067095
Abstract: Analyzing time series data like EEG or MEG is challenging due to noisy, high-dimensional, and patient-specific signals. Deep learning methods have been demonstrated to be superior in analyzing time series data compared to shallow learning… read more here.
Keywords: time; time series; eeg time; learning methods ... See more keywords