Brain Modelling as a Service: The Virtual Brain on EBRAINS
Computational Engineering, Finance, and Science2021-03-30v2Cryptography and SecurityDistributed, Parallel, and Cluster ComputingNeurons and CognitionQuantitative Methods
The Virtual Brain (TVB) is now available as open-source cloud ecosystem on EBRAINS, a shared digital research platform for brain science. It offers services for constructing, simulating and analysing brain network models (BNMs) including the TVB network simulator; magnetic resonance imaging (MRI) processing pipelines to extract structural and functional connectomes; multiscale co-simulation of spiking and large-scale networks; a domain specific language for automatic high-performance code generation from user-specified models; simulation-ready BNMs of patients and healthy volunteers; Bayesian inference of epilepsy spread; data and code 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.
Cite
@article{arxiv.2102.05888,
title = {Brain Modelling as a Service: The Virtual Brain on EBRAINS},
author = {Michael Schirner and Lia Domide and Dionysios Perdikis and Paul Triebkorn and Leon Stefanovski and Roopa Pai and Paula Popa and Bogdan Valean and Jessica Palmer and Chloê Langford and André Blickensdörfer and Michiel van der Vlag and Sandra Diaz-Pier and Alexander Peyser and Wouter Klijn and Dirk Pleiter and Anne Nahm and Oliver Schmid and Marmaduke Woodman and Lyuba Zehl and Jan Fousek and Spase Petkoski and Lionel Kusch and Meysam Hashemi and Daniele Marinazzo and Jean-François Mangin and Agnes Flöel and Simisola Akintoye and Bernd Carsten Stahl and Michael Cepic and Emily Johnson and Gustavo Deco and Anthony R. McIntosh and Claus C. Hilgetag and Marc Morgan and Bernd Schuller and Alex Upton and Colin McMurtrie and Timo Dickscheid and Jan G. Bjaalie and Katrin Amunts and Jochen Mersmann and Viktor Jirsa and Petra Ritter},
journal= {arXiv preprint arXiv:2102.05888},
year = {2021}
}