8 citations · 9 across the 4 of their papers we have counts for
5 papers
Vast TVB parameter space exploration: A Modular Framework for Accelerating the Multi-Scale Simulation of Human Brain Dynamics
Michiel van der Vlag, Lionel Kusch, Alain Destexhe +3
Global neural dynamics emerge from multi-scale brain structures, with neurons communicating through synapses to form transiently communicating networks. Network activity arises fro…
Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks
Cristian Jimenez Romero, Alper Yegenoglu, Aarón Pérez Martín +2
Social insects such as ants communicate via pheromones which allows them to coordinate their activity and solve complex tasks as a swarm, e.g. foraging for food. This behavior was…
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn
Alper Yegenoglu, Anand Subramoney, Thorsten Hater +7
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. This makes the…
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…
Staged deployment of interactive multi-application HPC workflows
Wouter Klijn, Sandra Diaz-Pier, Abigail Morrison +1
Running scientific workflows on a supercomputer can be a daunting task for a scientific domain specialist. Workflow management solutions (WMS) are a standard method for reducing th…