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Studies in Neural Data Science

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

  • Antonio Canale
  • Daniele Durante
  • Lucia Paci
  • Bruno Scarpa
Conference proceedings START UP RESEARCH 2017

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 257)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Marta Crispino, Silvia D’Angelo, Saverio Ranciati, Antonietta Mira
    Pages 1-22
  3. Emanuele Aliverti, Laura Forastiere, Tullia Padellini, Sally Paganin, Ernst Wit
    Pages 23-36
  4. Alessandra Cabassi, Alessandro Casa, Matteo Fontana, Massimiliano Russo, Alessio Farcomeni
    Pages 37-55
  5. Andrea Cappozzo, Federico Ferraccioli, Marco Stefanucci, Piercesare Secchi
    Pages 57-73
  6. Gaia Bertarelli, Alice Corbella, Jacopo Di Iorio, Anastasia Gorshechnikova, Marian Scott
    Pages 75-90
  7. Francesca Gasperoni, Alessandra Luati
    Pages 91-110
  8. Alessia Caponera, Francesco Denti, Tommaso Rigon, Andrea Sottosanti, Alan Gelfand
    Pages 111-130
  9. Michele Guindani, Marina Vannucci
    Pages 131-156

About these proceedings

Introduction

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.

Keywords

Data Science Neuroscience Multimodality Imaging Data Statistics Complex Data Open Access

Editors and affiliations

  • Antonio Canale
    • 1
  • Daniele Durante
    • 2
  • Lucia Paci
    • 3
  • Bruno Scarpa
    • 4
  1. 1.Department of Statistical SciencesUniversity of PadovaPaduaItaly
  2. 2.Department of Decision SciencesBocconi UniversityMilanItaly
  3. 3.Department of Statistical SciencesUniversità Cattolica del Sacro CuoreMilanItaly
  4. 4.Department of Statistical SciencesUniversity of PadovaPaduaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-00039-4
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-030-00038-7
  • Online ISBN 978-3-030-00039-4
  • Series Print ISSN 2194-1009
  • Series Online ISSN 2194-1017
  • Buy this book on publisher's site
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