Generalisation of neuronal electrical models on a morphological population with Markov Chain Monte-Carlo.
This code accompanies the paper:
This code can be installed via pip with
git clone git@github.com:BlueBrain/emodel-generalisation.git
pip install .
We provide several examples of the main functionalities of the emodel-generalisation code:
- run MCMC on a simple single compartment model in examples/mcmc/mcmc_singlecomp
- run MCMC on a simple multi-compartment model in examples/mcmc/mcmc_simple_multicomp
- run the entire generalisation worklow on a simplified version of the L5PC model of the paper in examples/workflow
- provide all the scripts necessary to reproduce the figures of the paper. For the scripts to run, one has to download the associated dataset on dataverse with the script
get_data.shin examples/paper_figures
When you use the emodel-generalisation code or method for your research, we ask you to cite:
Arnaudon, A., Reva, M., Zbili, M., Markram, H., Van Geit, W., & Kanari, L. (2023). Controlling morpho-electrophysiological variability of neurons with detailed biophysical models. iScience, 2023.
To get this citation in another format, please use the Cite this repository button in the sidebar of the code's github page.
The development of this code 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.
For license and authors, see LICENSE.txt and AUTHORS.md respectively.
Copyright 2022-2023 Blue Brain Project/EPFL