Last modified by adavison on 2022/10/04 13:55
From version 7.1
edited by adavison
on 2021/08/03 18:27
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To version 4.1
edited by adavison
on 2021/08/03 16:12
Change comment: There is no comment for this version

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6 6  == Learning objectives ==
7 7  
8 -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.
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9 9  
10 10  == Audience ==
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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. If you don't have these tools installed, see one of our previous tutorials which guide you through the installation.
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17 17  
18 18  == Format ==
19 19