Methods of Predicting the Brain Activity Based on Noun

摘要：

　　Over the last decade,functional magnetic resonance imaging (fMRI) has become a primary tool to predict the brain activity.During the past research,researchers transfer the focus from the picture to the word.The results of these researches are relatively successful.In this paper,several typical methods which are machine learning methods are introduced.And most of the methods are by using fMRI data associated with words features.The semantic features (properties or factors) support words neural representation,and have a certain commonality in the people.The purpose of the application of these methods is used for prediction or classification.

关键词： fMRI semantic features machine learning classification prediction

作者: Jianhua Jiang Xu Yu Zhixing Huang

作者单位: School of Computer and Information Science,Southwest University Chongqing 400715,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2354-2357

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）