Studies in Neural Data Science - StartUp Research 2017, Siena, Italy, June 25-27 (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Mathematics & Statistics, 257
Release date:	2019
First published:	2018
Editors:	Antonio Canale • Daniele Durante • Lucia Paci • Bruno Scarpa
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	156
Edition:	1st ed. 2018
ISBN-13:	978-3-03-000038-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Promotions
LSN:	3-03-000038-9
Barcode:	9783030000387

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