Studies in Neural Data Science StartUp Research 2017, Siena, Italy, June 25-27 /
This volume presents a collection of peer-reviewed contributions arising from StartUp Research: a stimulating research experience in which twenty-eight early-career researchers collaborated with seven senior international professors in order to develop novel statistical methods for complex brain ima...
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| Médium: | Elektronický zdroj E-kniha |
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| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing,
2018.
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| Vydání: | 1st ed. 2018. |
| Edice: | Springer Proceedings in Mathematics & Statistics,
257 |
| Témata: | |
| ISBN: | 9783030000394 |
| ISSN: | 2194-1009 ; |
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| Shrnutí: | This volume presents a collection of peer-reviewed contributions arising from StartUp Research: a stimulating research experience in which twenty-eight early-career researchers collaborated with seven senior international professors in order to develop novel statistical methods for complex brain imaging data. During this meeting, which was held on June 25-27, 2017 in Siena (Italy), the research groups focused on recent multimodality imaging datasets measuring brain function and structure, and proposed a wide variety of methods for network analysis, spatial inference, graphical modeling, multiple testing, dynamic inference, data fusion, tensor factorization, object-oriented analysis and others. The results of their studies are gathered here, along with a final contribution by Michele Guindani and Marina Vannucci that opens new research directions in this field. The book offers a valuable resource for all researchers in Data Science and Neuroscience who are interested in the promising intersections of these two fundamental disciplines. |
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| Popis jednotky: | Mathematics and Statistics |
| Fyzický popis: | XI, 156 p. 62 illus., 26 illus. in color. online resource. |
| ISBN: | 9783030000394 |
| ISSN: | 2194-1009 ; |