Last modified by michaels on 2022/05/23 22:24
From version 7.1
edited by michaels
on 2020/05/04 16:06
Change comment: There is no comment for this version
To version 13.1
edited by michaels
on 2020/05/06 13:48
Change comment: There is no comment for this version

Summary

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1 +tool|CHARITE|brain network model|brain simulation|tvb|high performance|parallel|hpc|supercomputer|connectome|functional connectivity|the virtual brain
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5 5  = TVB C ~-~- High-speed parallel brain network models =
6 6  
7 7  A fast implementation of The Virtual Brain brain network simulator
8 +
9 +[[image:4144.jpeg]]
8 8  )))
9 9  )))
10 10  
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12 12  (((
13 13  (% class="col-xs-12 col-sm-8" %)
14 14  (((
15 -= What can I find here? =
17 +== What can I find here? ==
16 16  
17 17  * an IPython notebook that describes how to
18 18  ** pull the TVB-C container into one of the associated supercomputers using PyUnicore
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19 19  ** upload model data to the supercomputer
20 20  ** set up and run simulations
21 21  ** download simulation results
24 +
25 +== How do I use it? ==
26 +
27 +* the simulation code is implemented as a Docker container
28 +* the container is executed on supercomputers and operated via IPython notebooks
29 +* Find the notebook by clicking on "Drive" in the left menu. The notebook is called "TVB_C.ipynb"
30 +* To use the notebook, download it onto your local filesystem, create a new Collab and upload it there.
31 +* Then, head over to [[https:~~/~~/lab.ebrains.eu/>>url:https://lab.ebrains.eu/]] to edit and run your notebook.
32 +* Depending on whether you created a public or a private notebook it will be accessible in either "drive/Shared with all" or "drive/Shared with groups'"
33 +
34 +== Partners ==
35 +
36 +* Charité Universitätsmedizin Berlin
37 +
38 +== Developer ==
39 +
40 +* Michael Schirner (michael.schirner@charite.de)
41 +
42 +
22 22  )))
23 23  
24 24  
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