Code Generation from Model Description Languages II
Date: 7-9 December 2016, Jülich Supercomputing Centre, Geb. 16.4
Computational models of biological neurons and neuronal networks are becoming increasingly important for understanding the astonishingly complex mechanisms responsible for the function of nervous system. To ease writing neuron models and improve the general quality of the code, the Computational Neuroscience community developed multiple domain specific and general purpose modeling languages.
The main goal of the workshop is to provide an overview of available techniques and languages to specify neuron models on different levels of detail. The languages presented include NeuroML, NineML, NESTML, PyNN and Brian. Furthermore, the workshops introduces how executable code for a specific target platform can be generated for these descriptive approaches.