Learning objectives

In this tutorial, you will learn how to install PyNN, together with the NEST, NEURON and Brian2 simulators, on Linux / Mac OS / Windows / in EBRAINS Jupyter Lab.

Audience

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.

Prerequisites

To follow this tutorial, you will need a computer with [Linux/Mac OS/Windows] and a good network connection. You will need to know how to open the terminal application for your operating system.

OR

To follow this tutorial, you will need an EBRAINS account. You should know how to create and use Jupyter notebooks in the EBRAINS Jupyter Lab.

Format

These tutorials will be screencasts, in which the presenter runs commands in a terminal (or in a Jupyer notebook), and the viewer is expected to follow along. The intended duration is 10 minutes. For the Jupyter version of the tutorial, the final notebook will also be made available.

Script

Hello, my name is X.

This video is one of a series of tutorials for PyNN, which is Python software for modelling and simulating spiking neural networks.

For a list of the other tutorials in this series, you can visit ebrains.eu/service/pynn, that's p-y-n-n.

In this tutorial, we  will guide you through setting up PyNN, together with the NEST, NEURON and Brian2 simulators, in a Linux  environment. Note that we have a dedicated version of this tutorial for other environments, such as Mac OS, Windows and EBRAINS Jupyter Lab.

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Description, explanation, and practice

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Acknowledgements if appropriate

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