Studies in Neural Data Science StartUp Research 2017, Siena, Italy, June 25-27 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Canale, Antonio (Editor, http://id.loc.gov/vocabulary/relators/edt), Durante, Daniele (Editor, http://id.loc.gov/vocabulary/relators/edt), Paci, Lucia (Editor, http://id.loc.gov/vocabulary/relators/edt), Scarpa, Bruno (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Proceedings in Mathematics & Statistics, 257
• Subjects: Statistics .; Neurosciences.; Biostatistics.; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.

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...

Table of Contents:

• 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.