Last modified by adavison on 2022/10/04 13:53
From version 45.1
edited by shailesh
on 2021/12/01 09:53
Change comment: There is no comment for this version
To version 48.1
edited by shailesh
on 2021/12/09 17:18
Change comment: There is no comment for this version

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37 37  **Slide** listing learning objectives
38 38  )))
39 39  
40 -In this tutorial, I will guide you through setting up PyNN, together with the Brian 2, NEST, and NEURON, and simulators, on 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.
40 +In this tutorial, I will guide you through setting up PyNN, together with the Brian 2, NEST, and NEURON simulators, on 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.
41 41  
42 42  (% class="box successmessage" %)
43 43  (((
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123 123  You might be required to run the above command every time you open a new terminal window. Check that the terminal command prompt indicates the name of your virtual environment to confirm that you have indeed activated it.
124 124  )))
125 125  
126 +Before we proceed, let us run the following commands to ensure that our environment is setup as required:
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128 +
129 +(% class="box infomessage" %)
130 +(((
131 +**Screencast** - terminal
132 +\\(% style="color:#000000" %)\\pip install ~-~-upgrade pip
133 +sudo apt install make
134 +)))
135 +
136 +
137 +
126 126  Now that we have our project's virtual environment setup, we are ready to install PyNN and other simulators. In general, it is advisable to install the various simulators (especially NEURON and NEST) prior to installing PyNN, because PyNN will then auto compile NEURON's NMODL fles and NEST's extensions during installation. In this tutorial, we will adopt this approach and begin by installing the simulators. For the purposes of this tutorial, we will demonstrate the installation of Brian2, NEST, and NEURON simulators.
127 127  
128 128  (% class="box errormessage" %)
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287 287  
288 288  This confirms that all the required software packages have been successfully completed and are functioning as expected.
289 289  
302 +As a last step, we will install a Python package named 'matplotlib' that would come in handy in the tutorials ahead.
303 +
304 +(% class="box infomessage" %)
305 +(((
306 +**Screencast** - terminal
307 +\\(% style="color:#000000" %)pip install matplotlib
308 +)))
309 +
290 290  (% class="box successmessage" %)
291 291  (((
292 292  **Slide** recap of learning objectives