國立高雄大學圖資館 |

Language: English

Back

Studies in neural data scienceStartU...

(1998 :)

Studies in neural data scienceStartUp Research 2017, Siena, Italy, June 25-27 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Studies in neural data scienceedited by Antonio Canale ... [et al.].
Reminder of title:	StartUp Research 2017, Siena, Italy, June 25-27 /
other author:	Canale, Antonio.
corporate name:
Published:	Cham :Springer International Publishing :2018.
Description:	xi, 156 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	NeurosciencesCongresses.Mathematical models
Online resource:	https://doi.org/10.1007/978-3-030-00039-4
ISBN:	9783030000394$q(electronic bk.)

Studies in neural data scienceStartUp Research 2017, Siena, Italy, June 25-27 /
Studies in neural data scienceStartUp Research 2017, Siena, Italy, June 25-27 /[electronic resource] :edited by Antonio Canale ... [et al.]. - Cham :Springer International Publishing :2018. - xi, 156 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v.2572194-1009 ;. - Springer proceedings in mathematics & statistics ;v.19..

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.

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.

ISBN: 9783030000394$q(electronic bk.)

Standard No.: 10.1007/978-3-030-00039-4doiSubjects--Topical Terms:

825956
Neurosciences
--Mathematical models--Congresses.

LC Class. No.: QP351 / .S783 2017

Dewey Class. No.: 612.8233

Studies in neural data scienceStartUp Research 2017, Siena, Italy, June 25-27 /
LDR:02904nmm a2200337 a 4500 001 546864
003 DE-He213
005 20190510150620.0
006 m d
007 cr nn 008maaau
008 190627s2018 gw s 0 eng d
020 $a 9783030000394$q(electronic bk.)
020 $a 9783030000387$q(paper)
024 7 $a 10.1007/978-3-030-00039-4 $2 doi
035 $a 978-3-030-00039-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QP351 $b .S783 2017
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 612.8233 $2 23
090 $a QP351 $b .S796 2017
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Studies in neural data science $h [electronic resource] : $b StartUp Research 2017, Siena, Italy, June 25-27 / $c edited by Antonio Canale ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xi, 156 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer proceedings in mathematics & statistics, $x 2194-1009 ; $v v.257
505 0 $a 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.
520 $a 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.
650 0 $a Neurosciences $x Mathematical models $v Congresses. $3 825956
650 1 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 274067
650 2 4 $a Neurosciences. $3 211508
650 2 4 $a Biostatistics. $3 339693
700 1 $a Canale, Antonio. $3 825955
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer proceedings in mathematics & statistics ; $v v.19. $3 569116
856 4 0 $u https://doi.org/10.1007/978-3-030-00039-4
950 $a Mathematics and Statistics (Springer-11649)