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

From version 6.1
edited by adavison
on 2021/08/03 18:25
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To version 9.2
edited by adavison
on 2021/08/04 14:35
Change comment: There is no comment for this version

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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.
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.
17 17  
18 18  == Format ==
19 19  
20 -.
20 +This tutorial will be a video combining slides, animations, and screencast elements. The intended duration is 10 minutes.
21 21  
22 22  == Script ==
23 23  
24 -=== Introduce yourself (if video) ===
24 +(% class="wikigeneratedid" id="HIntroduceyourself28ifvideo29" %)
25 +(% class="small" %)**Introduce yourself**
25 25  
26 -.
27 +Hello, my name is X.
27 27  
28 -=== State the learning objectives (In this tutorial, you will learn to do X…) ===
29 +This video is one of a series of tutorials for PyNN, which is Python software for modelling and simulating spiking neural networks.
29 29  
30 -.
31 +For a list of the other tutorials in this series, you can visit ebrains.eu/service/pynn, that's p-y-n-n.
31 31  
32 -=== State prerequisites ===
33 +(% class="wikigeneratedid" id="HStatethelearningobjectives28Inthistutorial2CyouwilllearntodoX202629" %)
34 +(% class="small" %)**State the learning objectives**
33 33  
36 +In this tutorial, you will learn the basics of PyNN: 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.
37 +
38 +(% class="wikigeneratedid" id="HStateprerequisites" %)
39 +(% class="small" %)**State prerequisites**
40 +
34 34  .
35 35  
36 -=== Description, explanation, and practice ===
43 +(% class="wikigeneratedid" id="HDescription2Cexplanation2Candpractice" %)
44 +(% class="small" %)**Description, explanation, and practice**
37 37  
38 38  .
39 39  
40 -=== Summary (In this tutorial, you have learned to do X…) ===
48 +(% class="wikigeneratedid" id="HSummary28Inthistutorial2CyouhavelearnedtodoX202629" %)
49 +(% class="small" %)**Summary (In this tutorial, you have learned to do X…)**
41 41  
42 42  .
43 43  
44 -=== Acknowledgements if appropriate ===
53 +(% class="wikigeneratedid" id="HAcknowledgementsifappropriate" %)
54 +(% class="small" %)**Acknowledgements if appropriate**
45 45  
46 46  .
47 47  
48 -=== References to websites (For more information, visit us at…) ===
58 +(% class="wikigeneratedid" id="HReferencestowebsites28Formoreinformation2Cvisitusat202629" %)
59 +(% class="small" %)**References to websites (For more information, visit us at…)**
49 49  
50 50  .
51 51  
52 -=== Contact information (For questions, contact us at…) ===
63 +(% class="wikigeneratedid" id="HContactinformation28Forquestions2Ccontactusat202629" %)
64 +(% class="small" %)**Contact information (For questions, contact us at…)**
53 53  
54 54  .