Hide last authors
| author | version | line-number | content |
|---|---|---|---|
 |
1.1 | 1 | |
| 2 | |||
| |
4.1 | 3 | * ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== ))) |
| |
2.1 | 4 | |
| |
4.1 | 5 | === **Beginner** === |
| |
2.1 | 6 | |
| |
4.1 | 7 | === [[Installing PyNN on a Linux system>>https://youtu.be/BZB7xKUK8Vc||rel=" noopener noreferrer" target="_blank"]] === |
| |
3.1 | 8 | |
| |
4.1 | 9 | **Level**: beginner(%%) **Type**: video tutorial |
| |
2.1 | 10 | |
| |
4.1 | 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}} | ||
| |
5.1 | 15 | === [[Building and simulating a simple model>>https://youtu.be/zBLNfJiEvRc||rel=" noopener noreferrer" target="_blank"]] === |
| |
4.1 | 16 | |
| |
5.1 | 17 | **Level**: beginner(%%) **Type**: video tutorial |
| 18 | |||
| 19 | 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. | ||
| 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 |