NeuroML: Reproducibility and Rigour in Computational Neuroscience
NeuroML: Reproducibility and Rigour in Computational Neuroscience
This lecture provides an overview of successful open-access projects aimed at describing complex neuroscientific models, and makes a case for expanded use of resources in support of reproducibility and validation of models against experimental data.
Topics covered in this lesson
- What is NeuroML
- Why NeuroML is needed
- Tools that support NeuroML
- Role of NeuroML in supporting efficient and collaborative modelling
- Overview of open-source projects
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