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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