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Changes for page PyNN: resources

Last modified by adavison on 2022/10/04 14:25
From version 21.1
edited by adavison
on 2022/10/04 14:12
Change comment: There is no comment for this version
To version 7.1
edited by adavison
on 2021/08/03 18:38
Change comment: There is no comment for this version

Summary

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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 +The first three tutorials should be followed in sequence. Following this, the remaining, more advanced tutorials, can be followed in any order.
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8 +* Introduction to PyNN
9 +* 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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