Last modified by adavison on 2021/08/03 17:48
From version 11.1
edited by adavison
on 2021/08/03 16:13
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To version 12.1
edited by adavison
on 2021/08/03 16:21
Change comment: There is no comment for this version

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5 5  
6 6  == Learning objectives ==
7 7  
8 -.
8 +In this tutorial, you will learn about:
9 9  
10 +* the different levels of abstraction that can be used in modelling biological nervous systems and their components;
11 +* the range of software tools that are available for modelling and simulation of neural systems;
12 +* the challenges created by having so many different tools;
13 +* some other tools that try to address these challenges, such as PyNN and NeuroML;
14 +* why you might want to use PyNN.
15 +
10 10  == Audience ==
11 11  
12 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.