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7	7	== Learning objectives ==
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9		-In this tutorial, you will learn how to install PyNN, together with the NEST, NEURON and Brian 2 simulators, on Linux / Mac OS / Windows / in EBRAINS Jupyter Lab.
	9	+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.
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11	11	(% class="box infomessage" %)
12	12	(((
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20	20	== Prerequisites ==
21	21
22		-To follow this tutorial, you will need a computer with Linux and a good network connection. You will need to know how to open the terminal application for your operating system.
	22	+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.
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	24	+
	25	+OR
	26	+
	27	+
	28	+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.
	29	+
24	24	== Format ==
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26	26	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.
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142	142	If there are no error messages here, and the import is successful, then we have completed installing Brian 2.
143	143
144		-We shall now move on to install the NEST simulator. Unlike Brian 2, NEST is not a Python package and therefore it cannot be installed via the 'pip' command.
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146		-At the time of creating this tutorial, the lastest version of NEST is v3.1. This is currently supported by PyNN v0.10, and it is likely that other versions of NEST could potentially be incompatible with this version of PyNN. The installation is done by first adding the PPA repository for NEST and updating apt, followed by the installation of NEST itself.
	151	+We shall now move on to install the NEST simulator. Unlike Brian 2, NEST is not a Python package and therefore its installation is a bit more involved. We shall install the NEST module along with PyNEST, which is a Python interface for controlling the NEST kernel.
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	153	+We first install the NEST module. At the time of creating this tutorial, the lastest version of NEST is 3.1. This is supported by  is currently supported by PyNN, and it is likely that other versions of NEST might have issues when used with the current version of PyNN. The installation is done by first adding the PPA repository for NEST and updating apt, followed by the installation of NEST itself.
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149	149	(((
150	150	**Screencast** - terminal
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153	153	\\sudo apt-get install nest
154	154	)))
155	155
156		-This installs the NEST module along with PyNEST, which is a Python interface for controlling the NEST kernel. This allows us to use NEST via Python. To confirm that we have properly installed Brian 2 on our computer, we can test as follows:
	163	+At this point, we have installed the NEST module, but it is still not usable via Python. To do so, we next install PyNEST.
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158		-(% class="box infomessage" %)
159		-(((
160		-**Screencast** - terminal
161		-\\(% style="color:#000000" %)python3
162		-\\import nest
163		-\\exit()
164		-)))
165	165
166		-If there are no error messages here, and the import is successful, then we have completed installing NEST simulator.
167	167
168		-We next move on to the third simulation, NEURON. The installation for NEURON is a bit more involved.
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170		-<< add more >>
171		-
172	172	(% class="box successmessage" %)
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174	174	**Slide** recap of learning objectives