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sparse-wta-snn's Introduction

Sparse Spiking Neural Networks using NEST and Scikit-Learn

  1. create evironment
    conda create --name sparse-snn-wta python=3.11 cmake cython libtool numpy scikit-learn pandas tqdm
    conda activate sparse-snn-wta
    conda install -c conda-forge librosa
  1. download and install nest https://github.com/nest/nest-simulator/releases/tag/v3.5
  2. install memrisitve plasticity
    cd nest_modules/tanh_stdp_nest_module
    sh install.sh
    source */nest_vars.sh (like in hint)
  1. install neuron model
    pip install nestml
    cd nest_modules/diehl_neuron_module
    sh install.sh
    source */nest_vars.sh (like in hint)
  1. install fsnn_classifiers
    python setup.py install
  1. run scripts from experiments
  2. ...
  3. PROFIT

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