Studies in Neural Data Science
StartUp Research 2017, Siena, Italy, June 25–27
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Outlines novel contributions on the statistical modeling of recent multimodality imaging data from Neuroscience Includes a contribution by experts on Statistics for Neuroscience, discussing new and relevant research directions Provides findings and new research questions to stimulate future promising research in Neural Data Science
Autor*in
Antonio Canale
Themen in »Studies in Neural Data Science«
Data Science Multimodality Imaging Data Statistics Complex Data Open Access
Stimmen zu »Studies in Neural Data Science«
“The book is clearly written, easy to read, and enables the expedient comprehension of the various discussed issues relating to the analysis and interpretation of neuro-imaging data. … This book may generally be useful to anyone who is dealing with neural data, particularly to biostatisticians involved in related research teams.” (Sada Nand Dwivedi, ISCB News, Vol. 68, December, 2019)
“This book and provides an outlook over trends and new research directions in the analyses of brain imaging data. An excellent book! Congratulations for the way research has been done!” (Claudia Simionescu-Badea, zbMATH 1415.92006, 2019)
()