Brain Research Of Music Cognition And Mathematic Analysis

The research of Artificial Intelligence meets great challenge. A new way of AI is to simulate the natural mechanism by computational method. Under this background, this thesis focuses on the brain mechanism of cross-cultural musical effect on attention, which is one of the most important topics of cognitive neuroscience.Our research is original and by far there is not similar report in this field. This thesis consists of two parts.In the first study, both long-term and short-term effects of Guqin and piano music on Chinese were investigated[1]. The results show that there are different effects of guqin and piano on attention. And the difference can be found on there aspect: long-term vs. short-term effect, auditory vs. visual attention, and early vs. late processing stage.In the second study, the Mozart effect on voluntary and involuntary attention were investigated in Chinese subjects[2].The results show that there is same Mozart effect of voluntary attention between Chinese and eastern. And Mozart music influence both involuntary attention and voluntary attention, but their effects work on different mechanisms.The Electroencephalography (EEG) and Event-related Potentials (ERP) technology and statistical calculation and analysis are primary methods in our study. Besides classical analysis of ERP, we use ICA cluster to do some explore. By these methods, we get many important results. Base on these found, we provide some advanced propose, for example cross-culture music effect on emotional control, face cognition and so on.The research of Music cognition involved a great deal of topics, we should go on studying in this field. The research of cognition is just a beginning of the AI, and the realization of true AI, which including intelligence, emotion and mind, need more study in the future.