Vast TVB parameter space exploration: A Modular Framework for Accelerating the Multi-Scale Simulation of Human Brain Dynamics

no code implementations • 22 Nov 2023 • Michiel van der Vlag, Lionel Kusch, Alain Destexhe, Viktor Jirsa, Sandra Diaz-Pier, Jennifer S. Goldman

Global neural dynamics emerge from multi-scale brain structures, with neurons communicating through synapses to form transiently communicating networks.

Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn

no code implementations • 28 Feb 2022 • Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier

Neuroscience models commonly have a high number of degrees of freedom and only specific regions within the parameter space are able to produce dynamics of interest.

Brain Modelling as a Service: The Virtual Brain on EBRAINS

1 code implementation • 11 Feb 2021 • Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Popa, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid, Jan G. Bjaalie, Katrin Amunts, Jochen Mersmann, Viktor Jirsa, Petra Ritter

The Virtual Brain (TVB) is now available as open-source cloud ecosystem on EBRAINS, a shared digital research platform for brain science.

Bayesian Inference Code Generation Computational Engineering, Finance, and Science Cryptography and Security Distributed, Parallel, and Cluster Computing Neurons and Cognition Quantitative Methods