Last modified by michaels on 2022/05/23 22:24

From version 1.1
edited by michaels
on 2020/05/04 16:02
Change comment: Collab created through API
To version 11.1
edited by michaels
on 2020/05/06 13:43
Change comment: Uploaded new attachment "4144.jpeg", version {1}

Summary

Details

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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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2 2  (((
3 3  (% class="container" %)
4 4  (((
5 -= My Collab's Extended Title =
5 += TVB C ~-~- High-speed parallel brain network models =
6 6  
7 -My collab's subtitle
7 +A fast implementation of The Virtual Brain brain network simulator
8 +
9 +[[image:fasttvb.png]]
8 8  )))
9 9  )))
10 10  
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14 14  (((
15 15  = What can I find here? =
16 16  
17 -* Notice how the table of contents on the right
18 -* is automatically updated
19 -* to hold this page's headers
19 +* an IPython notebook that describes how to
20 +** pull the TVB-C container into one of the associated supercomputers using PyUnicore
21 +** upload model data to the supercomputer
22 +** set up and run simulations
23 +** download simulation results
20 20  
21 -= Who has access? =
25 +== How do I use it? ==
22 22  
23 -Describe the audience of this collab.
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'"
24 24  )))
25 25  
26 26  
4144.jpeg
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