[HTML][HTML] Brain simulation as a cloud service: The Virtual Brain on EBRAINS
M Schirner, L Domide, D Perdikis, P Triebkorn… - NeuroImage, 2022 - Elsevier
NeuroImage, 2022•Elsevier
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 …
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 …
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.
Elsevier