The Resource Studies in Neural Data Science : StartUp Research 2017, Siena, Italy, June 25–27, edited by Antonio Canale, Daniele Durante, Lucia Paci, Bruno Scarpa, (electronic resource)

Studies in Neural Data Science : StartUp Research 2017, Siena, Italy, June 25–27, edited by Antonio Canale, Daniele Durante, Lucia Paci, Bruno Scarpa, (electronic resource)

Label
Studies in Neural Data Science : StartUp Research 2017, Siena, Italy, June 25–27
Title
Studies in Neural Data Science
Title remainder
StartUp Research 2017, Siena, Italy, June 25–27
Statement of responsibility
edited by Antonio Canale, Daniele Durante, Lucia Paci, Bruno Scarpa
Contributor
Editor
Editor
Provider
Subject
Language
eng
Summary
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
Member of
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • nd5d2bFR5ds
  • E__8ZRZqKfs
  • kMCiy6z4cH0
  • dzXeHeVjc0k
Image bit depth
0
LC call number
QA276-280
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Canale, Antonio.
  • Durante, Daniele.
  • Paci, Lucia.
  • Scarpa, Bruno.
  • SpringerLink
Series statement
Springer Proceedings in Mathematics & Statistics,
Series volume
257
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Statistics
  • Neurosciences
  • Statistical methods
  • Statistical Theory and Methods
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Neurosciences
  • Biostatistics
Label
Studies in Neural Data Science : StartUp Research 2017, Siena, Italy, June 25–27, edited by Antonio Canale, Daniele Durante, Lucia Paci, Bruno Scarpa, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Extent
XI, 156 p. 62 illus., 26 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783030000394
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-030-00039-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-030-00039-4
Label
Studies in Neural Data Science : StartUp Research 2017, Siena, Italy, June 25–27, edited by Antonio Canale, Daniele Durante, Lucia Paci, Bruno Scarpa, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Extent
XI, 156 p. 62 illus., 26 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783030000394
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-030-00039-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-030-00039-4

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