Last modified by michaels on 2022/05/23 22:24
From version 10.2
edited by michaels
on 2020/05/06 13:41
Change comment: Added tag [tool,CHARITE,brain network model,brain simulation,tvb,high performance,parallel,hpc,supercomputer,connectome,functional connectivity,the virtual brain]
To version 1.1
edited by michaels
on 2020/05/04 16:02
Change comment: Collab created through API

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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 -= TVB C ~-~- High-speed parallel brain network models =
5 += My Collab's Extended Title =
6 6  
7 -A fast implementation of The Virtual Brain brain network simulator
8 -
9 -[[image:fasttvb.png]]
7 +My collab's subtitle
10 10  )))
11 11  )))
12 12  
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16 16  (((
17 17  = What can I find here? =
18 18  
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
17 +* Notice how the table of contents on the right
18 +* is automatically updated
19 +* to hold this page's headers
24 24  
25 -== How do I use it? ==
21 += Who has access? =
26 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'"
23 +Describe the audience of this collab.
33 33  )))
34 34  
35 35  
fasttvb.png
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