Evaluating functional connectivity in alcoholics based on maximal weight matching
Article
Article Title | Evaluating functional connectivity in alcoholics based on maximal weight matching |
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ERA Journal ID | 40120 |
Article Category | Article |
Authors | Zhu, Guohun (Author), Li, Yan (Author) and Wen, Peng (Author) |
Journal Title | Journal of Advanced Computational Intelligence and Intelligent Informatics |
Journal Citation | 15 (9), pp. 1221-1227 |
Number of Pages | 7 |
Year | 2011 |
Place of Publication | Tokyo, Japan |
ISSN | 1343-0130 |
1883-8014 | |
Web Address (URL) | http://www.fujipress.jp/finder/search_main.php |
Abstract | EEG-based applications have faced the challenge of |
Keywords | EEG; greedy maximal weight matching; synchronization; repeated and unrepeated stimuli |
ANZSRC Field of Research 2020 | 320602. Medical biotechnology diagnostics (incl. biosensors) |
490102. Biological mathematics | |
520203. Cognitive neuroscience | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Department of Mathematics and Computing |
Centre for Systems Biology | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1147/evaluating-functional-connectivity-in-alcoholics-based-on-maximal-weight-matching
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