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Changes for page PyNN

Last modified by abonard on 2025/06/13 16:11

From version 3.1
edited by adavison
on 2024/11/13 15:38
Change comment: There is no comment for this version
To version 7.1
edited by abonard
on 2025/04/10 15:17
Change comment: There is no comment for this version

Summary

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Author
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1 -XWiki.adavison
1 +XWiki.abonard
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1 -Available tutorials:
2 2  
3 -=== [[Installing PyNN on a Linux system>>https://youtu.be/BZB7xKUK8Vc||rel="noopener noreferrer" target="_blank"]] ===
4 4  
5 -//Level: beginner  //(% class="mark" %)Type: video
3 +* ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== )))
6 6  
7 -In this tutorial, you will learn how to install PyNN, together with the Brian 2, NEST and NEURON simulators, on Linux.
8 -{{html}}<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/BZB7xKUK8Vc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>{{/html}}
5 +=== **Beginner** ===
9 9  
10 -=== [[Building and simulating a simple model>>https://youtu.be/zBLNfJiEvRc||rel="noopener noreferrer" target="_blank"]] ===
7 +=== [[Installing PyNN on a Linux system>>https://youtu.be/BZB7xKUK8Vc||rel=" noopener noreferrer" target="_blank"]] ===
11 11  
12 -//Level: beginner//
9 +**Level**: beginner(%%) **Type**: video tutorial
13 13  
11 +In this tutorial, you will learn how to install PyNN, together with the Brian 2, NEST and NEURON simulators, on Linux.
12 +{{html}}
13 +<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/BZB7xKUK8Vc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
14 +{{/html}}
15 +=== [[Building and simulating a simple model>>https://youtu.be/zBLNfJiEvRc||rel=" noopener noreferrer" target="_blank"]] ===
16 +
17 +**Level**: beginner(%%) **Type**: video tutorial
18 +
14 14  In this tutorial, you will learn how to build a simple network of integrate-and-fire neurons using PyNN, how to run simulation experiments with this network using different simulators, and how to visualize the data generated by these experiments.
15 -{{html}}<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/zBLNfJiEvRc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>{{/html}}
20 +{{html}}
21 +<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/zBLNfJiEvRc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
22 +{{/html}}
23 +