Decoding Human Actions in Human Brain by Searchlight MVPA Method

摘要：

　　Humans can identify actions performed by others rapidly and accurately.Here we applied machine learning techniques in functional magnetic resonance imaging(fMRI)data to reveal the neural mechanism underlying such neural activity.We used searchlight multi-voxel pattern analysis method based on support vector machine classifier to identify the regions that can discriminate different actions significantly,so as to clarify the brain regions recruited for action identifications.Our results indicated that part of the regions in occipito-temporal and frontal cortex hold the ability to identify different human actions.

关键词： Machine learning Support vector machine Functional magnetic resonance imaging Multi-voxel pattern analysis

作者: Xiaolin Sun Baolin Liu

作者单位: College of Intelligence and Computing,Tianjin Key Laboratory of Cognitive Computing and Application,Tianjin University,Tianjin 300350,P.R.China

会议类型: 国际会议

会议名称: 2019 2nd International Conference on Mechanical Engineering, Industrial Materials and Industrial Electronics (MEIMIE 2019)2019年第二届机械工程、工业材料和工业电子国际会议(Meimie 2019)

会议地点: 大连

会议语种:英文

页码: 25-28

在线出版日期: 2019-03-29（万方平台首次上网日期，不代表论文的发表时间）