Proceedings of the Workshop on Brain Analysis using COnnectivity
Networks - BACON 2016
Networks - BACON 2016
OA Location
Author(s)
Parisot, Sarah
Passerat-Palmbach, Jonathan
Schirmer, Markus D
Gutman, Boris
Type
Conference Paper
Abstract
Understanding brain connectivity in a network-theoretic context has shown
much promise in recent years. This type of analysis identifies brain
organisational principles, bringing a new perspective to neuroscience. At the
same time, large public databases of connectomic data are now available.
However, connectome analysis is still an emerging field and there is a crucial
need for robust computational methods to fully unravelits potential. This
workshop provides a platform to discuss the development of new analytic
techniques; methods for evaluating and validating commonly used approaches; as
well as the effects of variations in pre-processing steps.
much promise in recent years. This type of analysis identifies brain
organisational principles, bringing a new perspective to neuroscience. At the
same time, large public databases of connectomic data are now available.
However, connectome analysis is still an emerging field and there is a crucial
need for robust computational methods to fully unravelits potential. This
workshop provides a platform to discuss the development of new analytic
techniques; methods for evaluating and validating commonly used approaches; as
well as the effects of variations in pre-processing steps.
Date Issued
2016-11-24
Date Acceptance
2016-10-17
Citation
arXiv, 2016
Publisher
arXiv
Journal / Book Title
arXiv
Copyright Statement
© The Authors
Identifier
http://arxiv.org/abs/1611.03363v3
Source
Workshop on Brain Analysis using COnnectivity Networks - BACON 2016
Subjects
cs.NE
cs.NE
q-bio.NC
Publication Status
Published
Start Date
2016-10-17
Finish Date
2016-10-17
Coverage Spatial
Athens, Greece