Exploring the Asymmetrical Cortical Activity in Motor Areas Using Support Vector Machines
A linear SVM with different inputs, i.e., the average volume within a task block and a single volume of a task block was used to explore the asymmetrical cortical activity in motor areas based on a vivo fMRI data of hand-grip experiment. Our results showed that a SVM with different inputs could get the discriminative activations between the left and right hand grips.
Functional magnetic resonance imaging Support vector machine Pattern recognition methods Maximum-margin hyperplane
Guangxin Huang Huafu Chen Weishuai Lv Qian Dai
Key laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, China
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
311-314
2009-11-15(万方平台首次上网日期,不代表论文的发表时间)