Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG
Interpreting EEG measurements is of great relevance, both for developing underlying neuroscientific theory and improving existing applications. In this study, two networks with different approaches to time-frequency analysis and feature selection are compared on simulated and real data for semantic and emotional perception. The first network uses the Morlet wavelet transform to achieve adaptable f