Music Cognition

Music cognition research investigates how the brain processes and responds to music, aiming to understand the neural mechanisms underlying music perception, emotion, and creativity. Current research employs computational models, including deep learning architectures like LSTMs and transformers, to analyze musical features and predict neural responses (e.g., EEG data), correlate musical characteristics with social indices, and model music structure and composition. These studies contribute to a deeper understanding of human cognition and emotion, with potential applications in fields such as music therapy, social science, and the development of more sophisticated AI systems for music generation and analysis.