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.
There will be general introductions to model creation for different simulators and an in-depth tutorials about the concepts and application of the different languages. In hands-on sessions the participants have the opportunity to write their own models in with the assistance of experienced tutors. The feedback collected in a dedicated session will be used to shape the future design and development of the languages.
The workshop aims at students and researchers in computational neuroscience who want to create their own neuron models. Some understanding of programming and experience with one of the simulators NEST, NEURON, or Brian and the ideas behind modeling languages like NeuroML or NineML will be helpful, but are not strictly required.
Starts 7 Dec 2016 08:00
Ends 9 Dec 2016 18:00
Jülich Supercomputing Centre, Geb. 16.4
Rotunde, R. 301