Last modified by adavison on 2022/10/04 13:53
From version 18.2
edited by shailesh
on 2021/10/05 15:38
Change comment: There is no comment for this version
To version 21.1
edited by shailesh
on 2021/10/06 10:54
Change comment: There is no comment for this version

Summary

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58 58  
59 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.
60 60  
61 -=== State the learning objectives (In this tutorial, you will learn to do X…) ===
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63 -.
64 -
65 -=== State prerequisites ===
66 -
67 -.
68 -
69 69  === Description, explanation, and practice ===
70 70  
71 71  .
72 72  
73 -=== Summary (In this tutorial, you have learned to do X…) ===
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66 +(((
67 +**Slide** recap of learning objectives
68 +)))
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75 -.
70 +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.
76 76  
77 -=== Acknowledgements if appropriate ===
72 +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.
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79 -.
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75 +(((
76 +**Slide** acknowledgements, contact information
77 +)))
80 80  
81 -=== References to websites (For more information, visit us at…) ===
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80 +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.
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83 -.
84 -
85 -=== Contact information (For questions, contact us at…) ===
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83 +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.