This repository is a supplement to Knoll G. & Lindner B. (2022) Information transmission in recurrent networks: Consequences of network noise for synchronous and asynchronous signal encoding. Phys. Rev. E, 105(4):044411
theory.py provides the code to find the analytical results for the spectral densities of recurrent spiking network outputs: all-spike, activity, and synchrony.
Select a J value (0 or 0.01) in param_file.py.
Calculate all necessary spectral densities of interest by setting the flags at the beginning of main.py before running it.
Three plots from the paper (Figures 3-5) can be generated by running their designated scripts. The simulation data used in the paper has been provided for both J values for all three plots.