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Mean mutual information ratio: a new method for ranking components of ICA
Zuo Xinian; Zhu Chaozhe; Zang Yufeng
Source PublicationPROGRESS IN NATURAL SCIENCE
2007
Volume17Pages:154-160
SubtypeArticle
AbstractThis 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.
KeywordIndependent Component Analysis Mutual Information Default Mode Fmri
WOS HeadingsScience & Technology ; Technology
WOS KeywordDEFICIT HYPERACTIVITY DISORDER ; RESTING-STATE NETWORKS ; FUNCTIONAL MRI DATA ; BRAIN-FUNCTION ; DEFAULT MODE ; BLIND SEPARATION ; COCKTAIL PARTY ; FMRI DATA ; CONNECTIVITY ; FLUCTUATIONS
Indexed ByISTP ; SCI
Language英语
WOS Research AreaMaterials Science ; Science & Technology - Other Topics
WOS SubjectMaterials Science, Multidisciplinary ; Multidisciplinary Sciences
WOS IDWOS:000250510000026
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9459
Collection09年以前成果
Affiliation1.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
Recommended Citation
GB/T 7714
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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