Analysis of Neural Correlates of Different Music Genres using Machine Learning
We apply SVM-based classification to fMRI data, analyzing superior temporal gyrus (STG) activity across ten music genres. Preprocessing is done in SPM12, with feature extraction using an STG mask and classification via PRONTO V3.0. Results reveal distinct genre-specific neural patterns, enabling accurate decoding of music perception and bridging neuroscience with AI.