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

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multiDchaos

DOI: 10.5281/zenodo.3240447

Public code for the paper:

Muscinelli, S.P., Gerstner, W. and Schwalger, T. Single neuron properties shape chaotic dynamics in random neural networks PLOS Computational Biology 15 (6), e1007122

Requirements

  • Julia 1.6.0
  • Julia libraries:
    • JLD
    • FFTW
    • SparseArrays
    • DSP
    • SpecialFunctions

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.

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

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