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Last modified by adavison on 2021/08/03 19:00
From version 8.1
edited by adavison
on 2021/08/03 19:00
Change comment: There is no comment for this version
To version 1.1
edited by adavison
on 2021/08/03 15:49
Change comment: There is no comment for this version

Summary

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1 -08. Randomness and reproducibility
1 +Randomness and reproducibility
Content
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2 2  (((
3 3  tutorial under development
4 4  )))
5 -
6 -== Learning objectives ==
7 -
8 -In this tutorial, you will learn how to control randomness in your PyNN simulation, and about the trade-offs that can be made between performance and cross-simulator reproducibility.
9 -
10 -== Audience ==
11 -
12 -This tutorial is intended for people with at least a basic knowledge of neuroscience (high school level or above) and basic familiarity with the Python programming language. It should also be helpful for people who already have advanced knowledge of neuroscience and neural simulation, who simply wish to learn how to use PyNN, and how it differs from other simulation tools they know.
13 -
14 -== Prerequisites ==
15 -
16 -To follow this tutorial, you should have already followed the previous tutorials on installing PyNN and on building simple models and running simulations with PyNN.
17 -
18 -== Format ==
19 -
20 -This tutorial will be a video combining slides, animations, and screencast elements. The intended duration is 10 minutes.
21 -
22 -== Script ==
23 -
24 -=== Introduce yourself (if video) ===
25 -
26 -.
27 -
28 -=== State the learning objectives (In this tutorial, you will learn to do X…) ===
29 -
30 -.
31 -
32 -=== State prerequisites ===
33 -
34 -.
35 -
36 -=== Description, explanation, and practice ===
37 -
38 -.
39 -
40 -=== Summary (In this tutorial, you have learned to do X…) ===
41 -
42 -.
43 -
44 -=== Acknowledgements if appropriate ===
45 -
46 -.
47 -
48 -=== References to websites (For more information, visit us at…) ===
49 -
50 -.
51 -
52 -=== Contact information (For questions, contact us at…) ===
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54 -.