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Brain simulation as a cloud service: The Virtual Brain on EBRAINS

Authors :
Michael Schirner
Lia Domide
Dionysios Perdikis
Paul Triebkorn
Leon Stefanovski
Roopa Pai
Paula Prodan
Bogdan Valean
Jessica Palmer
Chloê Langford
André Blickensdörfer
Michiel van der Vlag
Sandra Diaz-Pier
Alexander Peyser
Wouter Klijn
Dirk Pleiter
Anne Nahm
Oliver Schmid
Marmaduke Woodman
Lyuba Zehl
Jan Fousek
Spase Petkoski
Lionel Kusch
Meysam Hashemi
Daniele Marinazzo
Jean-François Mangin
Agnes Flöel
Simisola Akintoye
Bernd Carsten Stahl
Michael Cepic
Emily Johnson
Gustavo Deco
Anthony R. McIntosh
Claus C. Hilgetag
Marc Morgan
Bernd Schuller
Alex Upton
Colin McMurtrie
Timo Dickscheid
Jan G. Bjaalie
Katrin Amunts
Jochen Mersmann
Viktor Jirsa
Petra Ritter
Source :
NeuroImage, Vol 251, Iss , Pp 118973- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

The Virtual Brain (TVB) is now available as open-source services on the cloud research platform EBRAINS (ebrains.eu). It offers software for constructing, simulating and analysing brain network models including the TVB simulator; magnetic resonance imaging (MRI) processing pipelines to extract structural and functional brain networks; combined simulation of large-scale brain networks with small-scale spiking networks; automatic conversion of user-specified model equations into fast simulation code; simulation-ready brain models of patients and healthy volunteers; Bayesian parameter optimization in epilepsy patient models; data and software for mouse brain simulation; and extensive educational material. TVB cloud services facilitate reproducible online collaboration and discovery of data assets, models, and software embedded in scalable and secure workflows, a precondition for research on large cohort data sets, better generalizability, and clinical translation.

Details

Language :
English
ISSN :
10959572
Volume :
251
Issue :
118973-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.0f18a5ffed99423bbcf750bc9eb638bf
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2022.118973