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| 3 | * ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== ))) | ||
| 4 | |||
| 5 | === **Beginner** === | ||
| 6 | |||
| 7 | === [[Installing PyNN on a Linux system>>https://youtu.be/BZB7xKUK8Vc||rel=" noopener noreferrer" target="_blank"]] === | ||
| 8 | |||
| 9 | **Level**: beginner(%%) **Type**: video tutorial | ||
| 10 | |||
| 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 | |||
| 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}} |