diff --git a/figures/Schmidt2018_dyn/README.md b/figures/Schmidt2018_dyn/README.md index 64fdd94d3c9e8efd07ae52b73641fe50b7187763..73f1c383cf668603bbe699fc1d3572d7a7c83ff9 100644 --- a/figures/Schmidt2018_dyn/README.md +++ b/figures/Schmidt2018_dyn/README.md @@ -28,6 +28,8 @@ Reproducing the figures requires some additional Python packages listed in `addi `pip install -r additional_requirements.txt` +The calculation of BOLD signals from the simulated firing rates for Fig. 8 requires an installation of R and the R library `neuRosim` (<https://cran.r-project.org/web/packages/neuRosim/index.html>). + ### Snakemake workflow The entire workflow from raw spike files till the final figures is defined in `Snakefile` and `Snakefile_preprocessing`. If snakemake is installed, the figures can be produced by executing `snakemake`. diff --git a/figures/Schmidt2018_dyn/additional_requirements.txt b/figures/Schmidt2018_dyn/additional_requirements.txt index 8489ecf53399a424b7149a68adc83cd17daf2d1b..fe439dad07aa7c8c11b88b31402bf1aa7e6437c3 100644 --- a/figures/Schmidt2018_dyn/additional_requirements.txt +++ b/figures/Schmidt2018_dyn/additional_requirements.txt @@ -1,5 +1,5 @@ statsmodels -R networkx pyx python-louvain +-e git+https://github.com/mschmidt87/correlation-toolbox.git@enh/add_setup_file#egg=correlation-toolbox