Studies in Neural Data Science

StartUp Research 2017, Siena, Italy, June 25–27

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Springer


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Springer Proceedings in Mathematics & Statistics

Paru le : 2018-12-28



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Description
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.

Pages
156 pages
Collection
Springer Proceedings in Mathematics & Statistics
Parution
2018-12-28
Marque
Springer
EAN papier
9783030000387
EAN PDF
9783030000394

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
9902 Ko
Prix
94,94 €
EAN EPUB
9783030000394

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
12329 Ko
Prix
94,94 €