Schirner, Michael and Domide, Lia and Perdikis, Dionysios and Triebkorn, Paul and Stefanovski, Leon and Pai, Roopa and Prodan, Paula and Valean, Bogdan and Palmer, Jessica and Langford, Chloe and Blickensdoerfer, Andre and van der Vlag, Michiel and Diaz-Pier, Sandra and Peyser, Alexander and Klijn, Wouter and Pleiter, Dirk and Nahm, Anne and Schmid, Oliver and Woodman, Marmaduke and Zehl, Lyuba and Fousek, Jan and Petkoski, Spase and Kusch, Lionel and Hashemi, Meysam and Marinazzo, Daniele and Mangin, Jean-Francois and Floeel, Agnes and Akintoye, Simisola and Stahl, Bernd Carsten and Cepic, Michael and Johnson, Emily and Deco, Gustavo and McIntosh, Anthony R. and Hilgetag, Claus C. and Morgan, Marc and Schuller, Bernd and Upton, Alex and McMurtrie, Colin and Dickscheid, Timo and Bjaalie, Jan G. and Amunts, Katrin and Mersmann, Jochen and Jirsa, Viktor and Ritter, Petra (2022) Brain simulation as a cloud service: The Virtual Brain on EBRAINS. NEUROIMAGE, 251: 118973. ISSN 1053-8119, 1095-9572
Full text not available from this repository. (Request a copy)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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | REPRODUCIBILITY; CONNECTOME; ATLAS; SPACE; Brain modelling; Cloud; Connectome; Neuroimaging; Network model; High performance computing; Reproducibility; Data protection |
| Subjects: | 500 Science > 530 Physics |
| Divisions: | Physics > Institute of Theroretical Physics |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 19 Sep 2023 14:09 |
| Last Modified: | 19 Sep 2023 14:09 |
| URI: | https://pred.uni-regensburg.de/id/eprint/58798 |
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