What can I find here?

• an IPython notebook that describes how to
  • use the TVB pipeline on one of the associated supercomputers using PyUnicore
  • upload model data to the supercomputer
  • set up and run the pipeline
  • download processing results

How do I use it?

• the pipeline is implemented by three Docker containers (mrtrix3_connectome, fmriprep and tvb_converter)
• the containers are executed on supercomputers and operated via IPython notebooks
• Find the notebook by clicking on "Drive" in the left menu. The notebook is located in the folder "notebooks"
• Direct link to notebook: https://drive.ebrains.eu/#my-libs/lib/42ac27a5-981e-4cf6-8ec5-d67b0c24bf09/notebooks
• To use the notebook, download it onto your local filesystem, create a new Collab and upload it there.
• Then, head over to https://lab.ebrains.eu/ to edit and run your notebook.
• 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'"

Metadata

Publications on TVB/brain model preprocessing

• https://www.ncbi.nlm.nih.gov/pubmed/25837600
• https://www.ncbi.nlm.nih.gov/pubmed/27480624