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2		-PyNN (//pronounced 'pine'//) is a simulator-independent language for building neuronal network models.
	1	+This collab is currently being used to plan tutorials for PyNN. Once we have some complete tutorials, we will make it public.
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5		-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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7		-== (% class="mark" %)[[Tutorials>>Tutorials]](%%)   (% class="mark" %)[[Documentation>>https://neuralensemble.org/docs/PyNN/]](%%) (% class="mark" %)[[Homepage>>http://neuralensemble.org/PyNN/]](%%) ==
	4	+== Planned tutorials ==
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9		-== (% class="mark" %)[[Source code>>https://github.com/NeuralEnsemble/PyNN]](%%) (% class="mark" %)[[Issue tracker>>https://github.com/NeuralEnsemble/PyNN/issues]](%%)   (% class="mark" %)[[Community>>https://neuralensemble.org/community]](%%) ==
	6	+* Introduction to PyNN
	7	+* Installing PyNN on Linux
	8	+* Installing PyNN on Mac OS
	9	+* Installing PyNN on Windows
	10	+* Building and simulating a simple model
	11	+* Recording and data handling
	12	+* Structuring larger models
	13	+* Models with spatial structure
	14	+* Synaptic plasticity
	15	+* Randomness and reproducibility
	16	+* Running parallel simulations
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