Attention: The EBRAINS IAM will be down Monday, the 21st July 2025, from 17.00 CEST (my timezone) for up to 1 hour. This will any affect services requiring an EBRAINS login, we apologise for any inconvenience caused.


Last modified by ldomide on 2024/04/08 12:55
From version 34.1
edited by dionperd
on 2023/09/26 19:34
Change comment: There is no comment for this version
To version 32.1
edited by dionperd
on 2023/09/26 19:29
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -26,7 +26,7 @@
26 26  
27 27  TVB-multiscale is made available at [[EBRAINS JupyterLab>>https://lab.ebrains.eu/]].
28 28  
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").
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").
30 30  
31 31  All necessary TVB-multiscale dependencies (NEST, ANNarchy, NetPyNE (NEURON), Elephant, Pyspike) are also installed and available.
32 32  
... ... @@ -68,14 +68,13 @@
68 68  
69 69  which will download the specified folders.
70 70  
71 -All these steps can of course be made from any user initiated fork of the TVB-multiscale repository.
71 +All these steps can of course be made from any user fork of the TVB-multiscale repository.
72 72  
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:
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 above example, the correct path would be:
74 74  
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" }}}
76 76  
77 77  
78 -
79 79  == Use our Jupyter Hub setup online ((% style="color:#c0392b" %)DEPRECATED(%%)) ==
80 80  
81 81  (% style="color:#c0392b" %)**TVB-multiscale app is deprecated and will stop being available after the end of 2023!**