Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks

Sheng Fu Liang, Chi Sheng Liu, Wan Lin Chang, Yu Hsiang Tsao, Li Wei Ko, Chin Teng Lin

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Music provides a tool to study numerous aspects of neuroscience from motion-skill to emotion since listening to and producing music involves many brain functions. The musician's brain is also regarded as an ideal model to investigate plasticity of the human brain. In this paper, an EEG-based neural network is proposed to assess neuroplasticity induced by musical training. A musical chord perception experiment is designed to acquire and compare the behavioral and neural responses of musicians and non-musicians. The ERPs elicited by the consonant and dissonant chords are combined together as the features of the model. The principle component analysis (PCA) is used to reduce feature dimensions and the dimension-reduced features are input to a feedforward neural network to recognize the brain potentials belong to a musician or a non-musician. The accuracy can reach 97% in average for leave-one-out cross validation of six subjects in this experiment. It demonstrates the feasibility of assessing effects of musical training by ERP signals elicited by musical chord perception.

原文English
主出版物標題2009 International Joint Conference on Neural Networks, IJCNN 2009
頁面1797-1801
頁數5
DOIs
出版狀態Published - 2009 十一月 18
事件2009 International Joint Conference on Neural Networks, IJCNN 2009 - Atlanta, GA, United States
持續時間: 2009 六月 142009 六月 19

出版系列

名字Proceedings of the International Joint Conference on Neural Networks

Other

Other2009 International Joint Conference on Neural Networks, IJCNN 2009
國家/地區United States
城市Atlanta, GA
期間09-06-1409-06-19

All Science Journal Classification (ASJC) codes

  • 軟體
  • 人工智慧

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