Warning
The Blue Brain Project concluded in December 2024, so development has ceased under the BlueBrain GitHub organization. Future development will take place at: https://github.com/openbraininstitute/connectome-analysis
See our documentation for detailed explanations including examples and tutorials.
See our source code for implementation details.
pip install git+https://github.com/danielaegassan/connectome_analysis.git
If you use this software, kindly use the following BibTeX entry for citation:
@article{egas2024efficiency,
title={Efficiency and reliability in biological neural network architectures},
author={Egas Santander, Daniela and Pokorny, Christoph and Ecker, Andr{\'a}s and Lazovskis, J{\=a}nis and Santoro, Matteo and Smith, Jason P and Hess, Kathryn and Levi, Ran and Reimann, Michael W},
journal={bioRxiv},
pages={2024--03},
year={2024},
publisher={Cold Spring Harbor Laboratory},
doi = {10.1101/2024.03.15.585196}
}
The development of this software was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology.
Copyright (c) 2023 Blue Brain Project / EPFL.
-
Clone this repository
-
Requirements:
-
Create a virtual environment and install the dependencies
poetry installCMake may have difficulties to find the right compilers to compile the C++ code. If that is the case, you have to specify the path to the compilers yourself:
CC=/path/to/gcc CXX=/path/to/g++ poetry installThis is especially important on MacOS.
- Activate the virtual environment
poetry shell- Testing
poetry run pytest testsThe documentation is automatically generated from the content of the docs directory and from the docstrings of the public signatures of the source code. The documentation is updated and published as a Github project page automatically as part each release.