Last modified by adavison on 2022/10/04 13:55

From version 9.1
edited by adavison
on 2021/08/04 14:33
Change comment: There is no comment for this version
To version 6.1
edited by adavison
on 2021/08/03 18:25
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -13,25 +13,21 @@
13 13  
14 14  == Prerequisites ==
15 15  
16 -To follow this tutorial, you need a basic knowledge of neuroscience (high-school level or greater), basic familiarity with the Python programming language, and either a computer with PyNN, NEST, NEURON and Brian 2 installed, or an EBRAINS account and basic familiarity with Jupyter notebooks. If you don't have these tools installed, see one of our previous tutorials which guide you through the installation.
16 +To follow this tutorial, you need a basic knowledge of neuroscience (high-school level or greater), basic familiarity with the Python programming language, and either a computer with PyNN, NEST, NEURON and Brian 2 installed, or an EBRAINS account and basic familiarity with Jupyter notebooks.
17 17  
18 18  == Format ==
19 19  
20 -This tutorial will be a video combining slides, animations, and screencast elements. The intended duration is 10 minutes.
20 +.
21 21  
22 22  == Script ==
23 23  
24 24  === Introduce yourself (if video) ===
25 25  
26 -Hello, my name is X.
26 +.
27 27  
28 -This video is one of a series of tutorials for PyNN, which is Python software for modelling and simulating spiking neural networks.
29 -
30 -For a list of the other tutorials in this series, you can visit ebrains.eu/service/pynn, that's p-y-n-n.
31 -
32 32  === State the learning objectives (In this tutorial, you will learn to do X…) ===
33 33  
34 -In this tutorial, you will learn the basics of PyNN:
30 +.
35 35  
36 36  === State prerequisites ===
37 37