| 书目名称 | Studies in Neural Data Science |
| 副标题 | StartUp Research 201 |
| 编辑 | Antonio Canale,Daniele Durante,Bruno Scarpa |
| 视频video | |
| 概述 | 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 re |
| 丛书名称 | Springer Proceedings in Mathematics & Statistics |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Conference proceedings 2018 |
| 关键词 | Data Science; Neuroscience; Multimodality Imaging Data; Statistics; Complex Data; Open Access |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-00039-4 |
| isbn_ebook | 978-3-030-00039-4Series ISSN 2194-1009 Series E-ISSN 2194-1017 |
| issn_series | 2194-1009 |
| copyright | Springer Nature Switzerland AG 2018 |
发表于 2025-3-21 16:54:41
