Last modified by adavison on 2022/10/04 13:53
From version 27.17
edited by shailesh
on 2021/10/08 11:24
Change comment: There is no comment for this version
To version 27.14
edited by shailesh
on 2021/10/08 11:20
Change comment: There is no comment for this version

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195 195  \\I find that I receive a "no module named nest" error, when trying this right after installing NEST. But it succeeds after a restart. So if you do observe an error, close all programs and restart your computer, and try again. This time it should execute as expected.
196 196  )))
197 197  
198 -If there are no error messages here, and the import is successful, then we have completed installing NEST simulator, and are able to load it via Python.
198 +If there are no error messages here, and the import is successful, then we have completed installing NEST simulator, and are able to load it on Python.
199 199  
200 200  We next move on to the third simulator, NEURON. The installation for NEURON used to be more involved previously, but can now be easily completed using the 'pip' command:
201 201  
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223 223  \\exit()
224 224  )))
225 225  
226 -If there are no error messages here, and the import is successful, then we have completed installing NEURON simulator, and are able to load it via Python.
227 227  
228 228  
229 229  (% class="box successmessage" %)
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231 231  **Slide** recap of learning objectives
232 232  )))
233 233  
234 -That is the end of this tutorial, in which I've demonstrated how to install PyNN, and other required simulators, in a Linux system. You are now ready to start modeling! To learn about model development in PyNN, do take a look at our next tutorial. Also, we will be releasing a series of tutorials, throughout the rest of 2021 and 2022, to introduce these more advanced features of PyNN, so keep an eye on the EBRAINS website.
233 +That is the end of this tutorial, in which I've demonstrated how to install PyNN, and other required simulators, in a Linux system. You are now ready to start modeling! To learn about model development in PyNN, do take a look at our next tutorial.
235 235  
235 +Als,  we will be releasing a series of tutorials, throughout the rest of 2021 and 2022, to introduce these more advanced features of PyNN, so keep an eye on the EBRAINS website.
236 +
236 236  (% class="box successmessage" %)
237 237  (((
238 238  **Slide** useful links
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242 242  [[(% style="color:#000000" %)https:~~/~~/neuron.yale.edu/neuron/>>https://neuron.yale.edu/neuron/]]
243 243  )))
244 244  
245 -We have listed here some links that might be of interest to users who wish to find more details about the various softwares employed in this tutorial.
246 246  
247 247  (% class="box successmessage" %)
248 248  (((