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Mean mutual information ratio: a new method for ranking components of ICA
Zuo Xinian; Zhu Chaozhe; Zang Yufeng
2007
发表期刊PROGRESS IN NATURAL SCIENCE
卷号17页码:154-160
文章类型Article
摘要This paper aims to develop a more robust measure of independency called mean mutual information ratio and propose a new way for ranking components with this measure. In order to evaluate the advantage of mean mutual information ratio, independent component analysis has been performed on task-related and resting-state functional magnetic resonance imaging data. And then, mean mutual information ratio was compared to kurtosis in ranking components. The result demonstrated that mean mutual information ratio gives more accurate and robust measure of independency.
关键词Independent Component Analysis Mutual Information Default Mode Fmri
WOS标题词Science & Technology ; Technology
关键词[WOS]DEFICIT HYPERACTIVITY DISORDER ; RESTING-STATE NETWORKS ; FUNCTIONAL MRI DATA ; BRAIN-FUNCTION ; DEFAULT MODE ; BLIND SEPARATION ; COCKTAIL PARTY ; FMRI DATA ; CONNECTIVITY ; FLUCTUATIONS
收录类别ISTP ; SCI
语种英语
WOS研究方向Materials Science ; Science & Technology - Other Topics
WOS类目Materials Science, Multidisciplinary ; Multidisciplinary Sciences
WOS记录号WOS:000250510000026
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9459
专题09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
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Zuo Xinian,Zhu Chaozhe,Zang Yufeng. Mean mutual information ratio: a new method for ranking components of ICA[J]. PROGRESS IN NATURAL SCIENCE,2007,17:154-160.
APA Zuo Xinian,Zhu Chaozhe,&Zang Yufeng.(2007).Mean mutual information ratio: a new method for ranking components of ICA.PROGRESS IN NATURAL SCIENCE,17,154-160.
MLA Zuo Xinian,et al."Mean mutual information ratio: a new method for ranking components of ICA".PROGRESS IN NATURAL SCIENCE 17(2007):154-160.
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