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27	27	TVB-multiscale is made available at [[EBRAINS JupyterLab>>https://lab.ebrains.eu/]].
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29		-All the user has to do is login with the EBRAINS credentials, and start a Python console or a Jupyter notebook, TVB-multiscale being available for importing (e.g., via "import tvb_multiscale").
	29	+All the user has to do is login with their EBRAINS credentials, and start a Python console or a Jupyter notebook, TVB-multiscale being available for importing (e.g., via "import tvb_multiscale").
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31	31	All necessary TVB-multiscale dependencies (NEST, ANNarchy, NetPyNE (NEURON), Elephant, Pyspike) are also installed and available.
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33		-We suggest the users to upload [[documented notebooks>>https://github.com/the-virtual-brain/tvb-multiscale/tree/master/docs/notebooks]] and/or [[examples' scripts and notebooks >>https://github.com/the-virtual-brain/tvb-multiscale/tree/master/examples]]from TVB-multiscale Github repository and run them there.
	33	+We suggest the users to upload [[documented notebooks>>https://github.com/the-virtual-brain/tvb-multiscale/tree/master/docs/notebooks]] and/or [[examples' scripts and notebooks >>https://github.com/the-virtual-brain/tvb-multiscale/tree/master/examples]]from TVB-multiscale Github repository, and run them there (please note that the user's drive offers persistent storage, i.e., users will find their files after logging out and in again).
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35	35	Alternatively, users can sparse checkout the docs and examples folders of TVB-multiscale Github repo, via the following sequence of commands in a terminal or in Jupyter notebook's cells (for notebooks you need to use "!" before each command!):
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39	39	{{{cd /mnt/user/drive/My Libraries}}}
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41		-2. Create a folder, e.g., "tvb-multiscale-examples"
	41	+2. Create a folder, e.g., "tvb-multiscale-collab"
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43		-{{{mkdir tvb-multiscale-examples}}}
	43	+{{{mkdir tvb-multiscale-collab}}}
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45	45	3. Create an empty git repository:
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69	69	which will download the specified folders.
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71		-All these steps can of course be made from any user fork of the TVB-multiscale repository.
	71	+All these steps can of course be made from any user initiated fork of the TVB-multiscale repository.
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73		-Last but not least, users will also have to modify the attribute config.DEFAULT_CONNECTIVITY_ZIP of the base configuration class Config in all cases of examples and notebooks, to be able to load a default TVB connectivity for the simulations to run.  For instance, in the case of the above folder structure after sparse checkout, and assuming that the user runs the [[documented TVB-NEST_WilsonCowan.ipynb notebook>>https://github.com/the-virtual-brain/tvb-multiscale/blob/master/docs/notebooks/TVB-NEST_WilsonCowan.ipynb]], the correct path would be:
	73	+Last but not least, users will also have to modify the attribute config.DEFAULT_CONNECTIVITY_ZIP of the base configuration class Config in all cases of examples and notebooks, to be able to load a default TVB connectivity for the simulations to run.  For instance, in the case of the above folder structure after sparse checkout, and for the example of the [[documented TVB-NEST_WilsonCowan.ipynb notebook>>https://github.com/the-virtual-brain/tvb-multiscale/blob/master/docs/notebooks/TVB-NEST_WilsonCowan.ipynb]], the correct path would be:
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75		-config.DEFAULT_CONNECTIVITY_ZIP = "/mnt/user/drive/My Libraries/tvb-multiscale-examples/examples/data/tvb_data/berlinSubjects/QL_20120814/QL_20120814_Connectivity.zip"
	75	+config.DEFAULT_CONNECTIVITY_ZIP = "/mnt/user/drive/My Libraries/tvb-multiscale-examples/examples/data/tvb_data/berlinSubjects/QL_20120814/QL_20120814_Connectivity.zip"
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