Welcome to RTNeuron, the scalable real-time rendering tool for the visualization of neuronal simulations based on cable models.
The main utility of RTNeuron is twofold: the interactive visual inspection of structural and functional features of the cortical column model and the generation of high quality movies and images for presentation and publications. This guide will get you acquaintanced with all the features provided by RTNeuron and how to fully exploit them for both purposes.
RTNeuron provides a C++ library with an OpenGL-based rendering backend, a Python wrapping and an Python application called rtneuron. This documentation mostly covers the use of the command line application and the Python wrapping. To use RTNeuron as a C++ library, developers are referred to the C++ class reference.
RTNeuron is only supported in GNU/Linux systems. However, it should also be possible to build it in Windows systems. For OS/X it may be quite challenging and require changes in OpenGL related code to get it working.
The full user documentation of RTNeuron can be found here. Some useful direct links are:
- Compilation instructions
- Basic user guide
- Python module reference
- Code examples and image gallery
- Release_notes
Please file a Bug Report if you find new issues which have not already been reported in Bug Report page. If you find an already reported problem, please update the corresponding issue with your inputs and outputs.
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).