Mean mutual information ratio: a new method for ranking components of ICA
文献类型：期刊论文
| 作者 | Zuo Xinian; Zhu Chaozhe; Zang Yufeng |
| 刊名 | PROGRESS IN NATURAL SCIENCE
 |
| 出版日期 | 2007 |
| 卷号 | 17页码:154-160 |
| 关键词 | independent component analysis mutual information default mode fMRI |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Materials Science, Multidisciplinary ; Multidisciplinary Sciences |
| 研究领域[WOS] | Materials Science ; Science & Technology - Other Topics |
| 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记录号 | WOS:000250510000026 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9459]  |
| 专题 | 自动化研究所_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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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