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1		-This collab is currently being used to plan tutorials for PyNN. Once we have completed at least one of the "Installing PyNN" tutorials and the "Building and simulating a simple model" tutorial, we will make it public.
	1	+PyNN (//pronounced 'pine'//) is a simulator-independent language for building neuronal network models.
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	3	+In other words, you can write the code for a model once, using the PyNN API and the Python programming language, and then run it without modification on any simulator that PyNN supports (currently [[NEURON>>url:http://www.neuron.yale.edu/neuron/]], [[NEST>>url:http://www.nest-initiative.org/?page=Software]], and [[Brian>>url:http://briansimulator.org/]]), and on the [[SpiNNaker>>url:http://apt.cs.manchester.ac.uk/projects/SpiNNaker/]] and [[BrainScaleS>>url:https://www.humanbrainproject.eu/en/silicon-brains/]] neuromorphic hardware systems.
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4		-== Planned tutorials ==
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6		-The first three tutorials should be followed in sequence. Following this, the remaining, more advanced, tutorials can be followed in any order.
	6	+== Tutorials   Documentation Homepage ==
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8		-* [[Introduction to PyNN>>doc:.Tutorials.Introduction to PyNN.WebHome]]
9		-* [[Installing PyNN>>Installing PyNN]]
10		-** on Linux
11		-** on Mac OS
12		-** on Windows
13		-** in the EBRAINS Jupyter Lab
14		-* Building and simulating a simple model
15		-* Recording and data handling
16		-* Structuring larger models
17		-* Models with spatial structure
18		-* Synaptic plasticity
19		-* Randomness and reproducibility
20		-* Running parallel simulations
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	9	+== Source code Issue tracker   Community ==
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