This collab is currently being used to plan tutorials for PyNN. Once we have some complete tutorials, we will make it public.

Planned tutorials

The first three tutorials should be followed in sequence. Following this, the remaining, more advanced tutorials, can be followed in any order.

• Introduction to PyNN
• Installing PyNN
  • on Linux
  • on Mac OS
  • on Windows
  • in the EBRAINS Jupyter Lab
• Building and simulating a simple model
• Recording and data handling
• Structuring larger models
• Models with spatial structure
• Synaptic plasticity
• Randomness and reproducibility
• Running parallel simulations