Unsupervised EEG feature extraction based on echo state network
Unsupervised EEG feature extraction based on echo state network is a scholarly work, published in 2019 in ''Information Sciences''. The main subjects of the publication include electroencephalography, reservoir computing, artificial intelligence, feature extraction, artificial neural network, feature, speech recognition, brain–computer interface, pattern recognition, cluster analysis, and computer science. The authors develop a fully data-driven EEG feature extraction method by applying recurrent autoencoders on multivariate EEG signals.