Last modified by michaels on 2022/05/23 22:24
From version 13.1
edited by michaels
on 2020/05/06 13:48
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To version 7.1
edited by michaels
on 2020/05/04 16:06
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]]
10 10  )))
11 11  )))
12 12  
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14 14  (((
15 15  (% class="col-xs-12 col-sm-8" %)
16 16  (((
17 -== What can I find here? ==
15 += What can I find here? =
18 18  
19 19  * an IPython notebook that describes how to
20 20  ** pull the TVB-C container into one of the associated supercomputers using PyUnicore
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21 21  ** upload model data to the supercomputer
22 22  ** set up and run simulations
23 23  ** 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 -
43 43  )))
44 44  
45 45  
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