Music Stimulus

Music stimulus research investigates how the brain processes and represents music, aiming to understand the neural mechanisms underlying music perception and cognition. Current research employs machine learning models, including convolutional neural networks and large language models, to decode music from brain activity (using fMRI and EEG) and even reconstruct musical stimuli from neural data. This work has implications for personalized music recommendations, therapeutic interventions, and a deeper understanding of auditory perception, bridging the gap between subjective experience and objective neural correlates. Furthermore, research is exploring the use of objective metrics to assess the impact of soundscapes, including wind turbine noise, on human perception and annoyance.