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Tool for analyzing fMRI data with functional connectome-based Hopfield networks (fcHNN)

Project description

connattractor

GitHub license GitHub release Docker Image Version (latest semver) Docker Image Size (latest semver) Binder

Laboratory for Predictive Neuroimaging - University Hospital Essen, Germany

Webpage with manuscript and getting started guide

pni-lab.github.io/connattractor

How to install the connattractor package?

The package 'connattractor' will be soon available on PyPI.

Afterwards the preferred way to install it will be:

pip install connattractor

For now, the easiest way to try out the package is using docker, see below:

How to re-run the analyses?

  • Run the analyses with 1 click (in the cloud)

    • Binder
    • Open in GitHub Codespaces (click code on top right on the github page of the repo)
  • Set up everything to run in 5 mins (locally on your computer)

    • install docker
    • clone the repo and start your notebook in a docker container
      git clone https://github.com/pni-lab/connattractor.git
      cd connattractor
      docker run -it -v $PWD:/mounted/connattractor -p 8080:8080 -p 8888:8888 pnilab/connattractor:latest jupyter notebook
      
    • copy paste the last link in your browser to start the notebook
  • Bare-metal (developers)

  • clone this repository with git as above

  • set up a python environment (e.g with conda)

  • install all requirements from requirements.txt

  • start developing

How to render the web-page locally?

cd docs
myst start

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