Format:
Online-Ressource (XI, 156 p. 62 illus., 26 illus. in color, online resource)
Edition:
Springer eBook Collection. Mathematics and Statistics
ISBN:
9783030000394
Series Statement:
Springer Proceedings in Mathematics & Statistics 257
Content:
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
Content:
1 S. Ranciati et al, Understanding Dependency Patterns in Structural and Functional Brain Connectivity through fMRI and DTI Data -- 2 E. Aliverti et al, Hierarchical Graphical Model for Learning Functional Network Determinants -- 3 A. Cabassi et al, Three Testing Perspectives on Connectome Data -- 4 A. Cappozzo et al, An Object Oriented Approach to Multimodal Imaging Data in Neuroscience -- 5 G. Bertarelli et al, Curve Clustering for Brain Functional Activity and Synchronization -- 6 F. Gasperoni and A. Luati, Robust Methods for Detecting Spontaneous Activations in fMRI Data -- 7 A. Caponera et al, Hierarchical Spatio-Temporal Modeling of Resting State fMRI Data -- 8 M. Guindani and M. Vannucci, Challenges in the Analysis of Neuroscience Data
Additional Edition:
ISBN 9783030000387
Additional Edition:
ISBN 9783030000400
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 978-3-030-00038-7
Additional Edition:
Printed edition ISBN 9783030000387
Additional Edition:
Printed edition ISBN 9783030000400
Additional Edition:
Erscheint auch als Druck-Ausgabe Start up Research (Veranstaltung : 2017 : Siena) Studies in neural data science Cham : Springer, 2018 ISBN 3030000389
Additional Edition:
ISBN 9783030000387
Language:
English
DOI:
10.1007/978-3-030-00039-4
URL:
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