This code repository was written by Veronika Koren and Gabriel Matias Lorenz, members of the Institute of Neural Information Processing, Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

This code repository is associated with the paper Firing rates and representational error in efficient spiking networks are bounded by design , authored by M Urdu, GM Lorenz, CP Huang, S Panzeri and V Koren, accepted to appear in proceedings of The 34th International Conference on Artificial Neural Networks (ICANN 2025).

The copy of this repository is publicly available at Zenodo with the following DOI:

In case of partial of complete use of the code, please cite the repository.

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How to open and run a script

a) open Matlab

b) cd to the path …/this_repository/
c) use the "Open" icon on the top left to open the desired script
d) before running the script, Matlab issues a window about the file not being on the current path and asking to either Change the current folder or Add it to Path - choose Add to Path

Dependencies

a) Folder “get_result” contains scripts that generate results. Some of the scripts inside this folder also generate a figure.
b) Folder “get_plot” contains scripts that generate a figure from computed results.
c) Folder “function” contains functions used scripts in “get_results” and in “get_plot”.
d) Folder "results" contains .mat files with simulation results.
e) File optimal_params.m contains the default set of parameters.
f) The PDF "Simulation details for efficient bounds" contains a table of default model parameters, specifications about numerical integration and other details useful for reproducing the numerical results.