1 citations · 2 across the 4 of their papers we have counts for
4 papers
Cohort-amortized personalization: navigating the privacy-utility frontier for virtual brain twins
Amirhossein Esmaeili, Marmaduke Woodman, Nina Baldy +8
Personalized generative brain models require individual neuroimaging data that privacy constraints and re-identification risk make difficult to share, while per-subject fitting pro…
Data-driven mean-field within whole-brain models
Martin Breyton, Viktor Sip, Marmaduke Woodman +3
Mean-field models provide a link between microscopic neuronal activity and macroscopic brain dynamics. Their derivation depends on simplifying assumptions, such as all-to-all conne…
Delay-constrained re-entry governs large-scale brain seizures and other network pathologies
Paul Triebkorn, Huifang E. Wang, Marmaduke Woodman +3
Re-entry of travelling excitation loops is a long-suspected driver of human seizures, yet how such loops arise in patient brain networks -- and how susceptible they are to targeted…
Brain Modelling as a Service: The Virtual Brain on EBRAINS
Michael Schirner, Lia Domide, Dionysios Perdikis +41
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, simul…