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RTNeuron user guide

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RTNeuron, the scalable real-time rendering tool for the visualization of neuronal simulations based on cable models.

This user guide provides you with tutorials on some common use cases for RTNeuron and its usage in visualization of the Sonata data format. You can learn more about the Sonata data format by reading the Sonata readme.

Compatibility

RTNeuron and this guide are written for users running Ubuntu 16.04 or higher. As RTNeuron cannot be run on a virtual machine, it is not possible to run on macOS or Windows.

Getting started

Follow the Quickstart guide to begin using RTNeuron to visualize Sonata data.

Original documentation

You can still access the previous version of the RTNeuron documentation. This includes the Python API reference and the examples gallery.

About

RTNeuron has been jointly developed by the EPFL Blue Brain Project and the Universidad Politécnica de Madrid. Main financial support was provided by the ETH Board funding to the Blue Brain Project and Cajal Blue Brain (funded by the Spanish Ministerio de Ciencia, Innovación y Universidades). Partial funding has been furthermore provided by the European Union’s Horizon 2020 research and innovation programme under grant agreement no.720270. (HBP SGA1).