Behavior-Constrained Support Vector Machines for fMRI Data Analysis
Chen, Danmei ; Li, Sheng ; Kourtzi, Zoe ; Wu, Si
刊名IEEE TRANSACTIONS ON NEURAL NETWORKS
2010
卷号21期号:10页码:1680-1685
关键词Functional magnetic resonance imaging (fMRI) pattern classification psychometric function support vector machine (SVM) HUMAN VISUAL-CORTEX PREFRONTAL CORTEX HUMAN BRAIN CLASSIFICATION SHAPES MODEL
ISSN号1045-9227
通讯作者Wu, S (reprint author), Chinese Acad Sci, Lab Neural Informat Proc, Inst Neurosci, Shanghai 200031, Peoples R China,siwu@ion.ac.cn
英文摘要Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that are typically recorded from functional brain imaging experiments pose a challenge for the application of statistical learning methods in the analysis of brain data. To overcome this difficulty, we propose using prior knowledge based on the behavioral performance of human observers to enhance the training of support vector machines (SVMs). We collect behavioral responses from human observers performing a categorization task during functional magnetic resonance imaging scanning. We use the psychometric function generated based on the observers behavioral choices as a distance constraint for training an SVM. We call this method behavior-constrained SVM (BCSVM). Our findings confirm that BCSVM outperforms SVM consistently.
学科主题Computer Science ; Engineering
收录类别SCI
资助信息BBSRC[BB/E027436/1]
语种英语
公开日期2012-07-13
内容类型期刊论文
源URL[http://ir.sibs.ac.cn/handle/331001/1570]  
专题上海神经科学研究所_神经所(总)
推荐引用方式
GB/T 7714
Chen, Danmei,Li, Sheng,Kourtzi, Zoe,et al. Behavior-Constrained Support Vector Machines for fMRI Data Analysis[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2010,21(10):1680-1685.
APA Chen, Danmei,Li, Sheng,Kourtzi, Zoe,&Wu, Si.(2010).Behavior-Constrained Support Vector Machines for fMRI Data Analysis.IEEE TRANSACTIONS ON NEURAL NETWORKS,21(10),1680-1685.
MLA Chen, Danmei,et al."Behavior-Constrained Support Vector Machines for fMRI Data Analysis".IEEE TRANSACTIONS ON NEURAL NETWORKS 21.10(2010):1680-1685.
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