Skip to content

Public code for the paper Muscinelli, Gerstner and Schwalger, ArXiv: 1812.06925v2 (2018)

Notifications You must be signed in to change notification settings

EPFL-LCN/multiDchaos

 
 

Repository files navigation

multiDchaos

Public code for the paper:

Muscinelli, S.P., Gerstner, W. and Schwalger, T. Single neuron properties shape chaotic dynamics in random neural networks ArXiv pre-print:1812.06925v2 (2018).

Requirements

  • Julia 0.7
  • Julia libraries:
    • JLD
    • Optim

Usage: The file to simulate the full rate network is "run_microscopic.jl", while the file to find the mean-field solution iteratively is "find-meanfield-solution-iteratively.jl". Such files relies on three custom julia modules: "RateNet", "AdaptiveNet" and "MyTools", included in the directories "ratenet", "adaptnet" and "mytools" respectively. Their respective paths should be included in your .juliarc in order for the code to work.

About

Public code for the paper Muscinelli, Gerstner and Schwalger, ArXiv: 1812.06925v2 (2018)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Julia 100.0%