TY  - JOUR
AU  - Schirner, Michael
AU  - Domide, Lia
AU  - Perdikis, Dionysios
AU  - Triebkorn, Paul
AU  - Stefanovski, Leon
AU  - Pai, Roopa
AU  - Prodan, Paula
AU  - Valean, Bogdan
AU  - Palmer, Jessica
AU  - Langford, Chloê
AU  - Blickensdörfer, André
AU  - van der Vlag, Michiel
AU  - Diaz-Pier, Sandra
AU  - Peyser, Alexander
AU  - Klijn, Wouter
AU  - Pleiter, Dirk
AU  - Nahm, Anne
AU  - Schmid, Oliver
AU  - Woodman, Marmaduke
AU  - Zehl, Lyuba
AU  - Fousek, Jan
AU  - Petkoski, Spase
AU  - Kusch, Lionel
AU  - Hashemi, Meysam
AU  - Marinazzo, Daniele
AU  - Mangin, Jean-François
AU  - Flöel, Agnes
AU  - Akintoye, Simisola
AU  - Stahl, Bernd Carsten
AU  - Cepic, Michael
AU  - Johnson, Emily
AU  - Deco, Gustavo
AU  - McIntosh, Anthony R.
AU  - Hilgetag, Claus C.
AU  - Morgan, Marc
AU  - Schuller, Bernd
AU  - Upton, Alex
AU  - McMurtrie, Colin
AU  - Dickscheid, Timo
AU  - Bjaalie, Jan G.
AU  - Amunts, Katrin
AU  - Mersmann, Jochen
AU  - Jirsa, Viktor
AU  - Ritter, Petra
TI  - Brain simulation as a cloud service: The Virtual Brain on EBRAINS
JO  - NeuroImage
VL  - 251
SN  - 1053-8119
CY  - Orlando, Fla.
PB  - Academic Press
M1  - FZJ-2022-01558
SP  - 118973 -
PY  - 2022
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - pmid:35131433
UR  - <Go to ISI:>//WOS:000766358200010
DO  - DOI:10.1016/j.neuroimage.2022.118973
UR  - https://juser.fz-juelich.de/record/906622
ER  -