Last modified by adavison on 2022/10/04 13:53
From version 18.1
edited by shailesh
on 2021/10/05 15:32
Change comment: There is no comment for this version
To version 20.1
edited by shailesh
on 2021/10/06 10:53
Change comment: There is no comment for this version

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49 49  **Slide** listing learning objectives
50 50  )))
51 51  
52 -In this tutorial, we will guide you through setting up PyNN, together with the NEST, NEURON and Brian2 simulators, in a Linux  environment. Note that we have a dedicated version of this tutorial for other environments, such as Mac OS, Windows and EBRAINS Jupyter Lab.
52 +In this tutorial, I will guide you through setting up PyNN, together with the NEST, NEURON and Brian2 simulators, in a Linux  environment. Note that we have a dedicated version of this tutorial for other environments, such as Mac OS, Windows and EBRAINS Jupyter Lab.
53 53  
54 54  (% class="box successmessage" %)
55 55  (((
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56 56  **Slide** listing prerequisites
57 57  )))
58 58  
59 +I shall be demonstrating the installation on a computer with Ubuntu 18.04 OS installed. The steps are likely to remain very similar for other versions of Ubuntu OS, and also not expected to vary significantly for other Linux distributions. In the latter case, you will find on the Internet about how to carry out the equivalent of the tasks demonstrated here using Ubuntu OS.
59 59  
60 -=== State the learning objectives (In this tutorial, you will learn to do X…) ===
61 -
62 -.
63 -
64 -=== State prerequisites ===
65 -
66 -.
67 -
68 68  === Description, explanation, and practice ===
69 69  
70 70  .
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84 84  === Contact information (For questions, contact us at…) ===
85 85  
86 86  .
80 +
81 +
82 +~(% class="box successmessage" %)
83 +~(~(~(
84 +~*~*Slide~*~* recap of learning objectives
85 +~)~)~)
86 +
87 +
88 +That is the end of this tutorial, in which I've demonstrated how to install PyNN, and other required simulators, in a Linux system. You are now ready to start modeling! To learn about model development in PyNN, do take a look at our next tutorial.
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90 +
91 +Als,  we will be releasing a series of tutorials, throughout the rest of 2021 and 2022, to introduce these more advanced features of PyNN, so keep an eye on the EBRAINS website.
92 +
93 +
94 +~(% class="box successmessage" %)
95 +~(~(~(
96 +~*~*Slide~*~* acknowledgements, contact information
97 +~)~)~)
98 +
99 +
100 +~(% class="wikigeneratedid" %)
101 +PyNN has been developed by many different people, with financial support from several different organisations. I'd like to mention in particular the CNRS and the European Commission, through the FACETS, BrainScaleS and Human Brain Project grants.
102 +
103 +~(% class="wikigeneratedid" %)
104 +For more information visit neuralensemble.org/PyNN. If you have questions you can contact us through the PyNN Github project, the NeuralEnsemble forum, EBRAINS support, or the EBRAINS Community.