The Virtual Brain (TVB) is a neuroinformatics platform for full brain network simulations using biologically realistic connectivity. It enables the model-based inference of neurophysiological mechanisms across different brain scales that underlie the generation of macroscopic neuroimaging signals including functional MRI (fMRI), EEG and MEG. Learn more at: https://www.thevirtualbrain.org/tvb/zwei

Bhalla lab develops and maintains the simulator MOOSE, the Multiscale Object-Oriented Simulation Environment. It is designed to simulate neural systems ranging from biochemical signaling to complex models of single neurons, circuits, and large networks. A typical use case is to model neural activity-driven synaptic plasticity, in which network activity to synapses triggers biochemical reaction-diffusion events, which in turn modulate ion channels to give rise to synaptic plasticity. Learn more at: https://www.ncbs.res.in/faculty/bhalla

GeNN is a GPU enhanced Neuronal Network simulation environment based on NVIDIA CUDA technology. Learn more at: https://genn-team.github.io/genn/

BRIAN is a free, open source simulator for spiking neural networks. It is written in the Python programming language and is available on almost all platforms. BRIAN is designed to be easy to learn and use, highly flexible, and easily extensible. Learn more at: https://briansimulator.org/.

The motivation for this Working Group is the ongoing development of complex data-driven models of neuronal networks, as well as the emergence of general purpose software packages and standardised formats to make it easier to build, specify and share such networks. To encourage researchers to use these common tools and formats (and ultimately create and disseminate higher quality models) the group gathers together developers creating these packages to share code and ideas, to encourage interoperability and have a forum for users and developers to find out about the state of the art and to contribute to a better ecosystem of tools and standards in this area.