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Last modified by adavison on 2022/10/04 13:55
From version 29.1
edited by adavison
on 2022/10/04 13:55
Change comment: There is no comment for this version
To version 23.1
edited by shailesh
on 2021/12/09 21:40
Change comment: There is no comment for this version

Summary

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1 +XWiki.shailesh
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2 2  (((
3 -Video: [[https:~~/~~/www.youtube.com/watch?v=zBLNfJiEvRc>>https://www.youtube.com/watch?v=zBLNfJiEvRc]]
3 +tutorial under development
4 4  )))
5 5  
6 6  == Learning objectives ==
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44 44  **Slide** listing prerequisites
45 45  )))
46 46  
47 -To follow this tutorial, you need a basic knowledge of neuroscience (high-school level or higher), basic familiarity with the Python programming language, and you should have already followed our earlier tutorial video which guides you through the installation process.
47 +To follow this tutorial, you need a basic knowledge of neuroscience (high-school level or greater), basic familiarity with the Python programming language, and you should have already followed our earlier tutorial video which guides you through the installation process.
48 48  
49 49  This video covers PyNN 0.10. If you've installed a more recent version of PyNN, you might want to look for an updated version of this video.
50 50  
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356 356  
357 357  Of course, PyNN allows you to create much more complex networks than this, with more realistic neuron models, synaptic plasticity, spatial structure, and so on. You can also use other simulators, such as Brian or SpiNNaker, and you can run simulations in parallel on clusters or supercomputers.
358 358  
359 -We will be releasing a series of tutorials, throughout this year, to introduce these more advanced features of PyNN, so keep an eye on the EBRAINS website.
359 +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.
360 360  
361 361  (% class="box successmessage" %)
362 362  (((