Pulse Coding: Emotional Coupling and Cultural Plasticity of Neuromimetic Music

In this study, the impulsive neural network (SNN) model with auditory neurophysiological constraints is constructed, and the neural coding mechanism of music emotional perception is analyzed from the new perspective of "time sequence regularity". The EEG, functional near infrared spectrum data and behavioral scores of 60 healthy adults were collected simultaneously, and three core findings were obtained: 1. The model pulse timing is strongly coupled with the synchronization of the prefrontal α-band (r=0.74, p<0.001), and the "regularity of timing" is the core of coding-the variation coefficient of pulse interval in major scales is significantly lower than that in minor scales (t=19.27, p<0.001), and the difference is positively correlated with pleasure (r=0.68, P < 0.01). 2. The recognition accuracy of the model for musical pleasure is 89.2%, which is significantly better than that of CNN model (76.5%, p<0.001), and the parameters can be adjusted within 50ms, which is highly biological. 3. Cross-cultural verification shows that the recognition accuracy of the model for different cultural music decreases by 18.6%-21.2%, which is consistent with human behavior data by ICC=0.71(p<0.001), which proves that the cultural plasticity of the neural coding stems from the experience-dependent synaptic remodeling. This study provides quantitative evidence for the "time binding theory" and puts forward the mapping law of "time sequence regularity-emotional valence" to promote the application of neuromimetic technology in music intervention and cross-cultural communication.