test.yaml

executionParams:
  clustername: BWnemo
  parameters: {timeperjob: 30, nnodes: 1, nprocs: 4, walltime: 600}
experimentName: Test01
executable: /scratch/wv385/Documents/git/networks/01_ISING/ISING.py
envscript: /home/hd/hd_hd/hd_wv385/bin/mysoftware
stub:
  backend:
    name: SBSSampler
    executable_path: None
    dicts:
      temperature: None
      externalCurrent: None
      Config:
        Calibration:
          parameters:
            cm: .2
            tau_m: 1.
            e_rev_E: 0.
            e_rev_I: -100.
            v_thresh: -50.
            tau_syn_E: 10.
            v_rest: -50.
            tau_syn_I: 10.
            v_reset: -50.001
            tau_refrac: 10.
            i_offset: 0.
          folder: /scratch/wv385/calibrations
          runCalibration: True
          simName: pyNN.nest
          noise:
            weights: [0.001, -0.001]
            rates: [2000., 2000.]
        saturating: True
        TSO: True
        Run:
          duration: 1E6
          dt: .1
          burnInTime: 0.
          sampledt: 10.
  network:
    weightname: create_nn
    weightparameters:
      linearsize: 80
      dimension: 2
      weight: w
      weightnoise: 0.
      weightnoiseseed: 0
    biasname: create_bias
    biasparameters:
      biasfactor: bf
      biasoffset: 0.
      biasnoise: 0.
      biasnoiseseed: 0
    initialstatename: create_uniform_initialstate
    initialstateparameters:
      nsites: 6400
      meanactivity: 0.5
      initialrseed: 42424242
      tauzeromin: 0
      tauzeromax: 100
      tauonemin: 100
      tauonemax: 200
  analysis:
    name: analysis_mean
    parameters:
      burnin: 10
      subsampling: 1
      nupdates: 100
    timecourse: True
    timecourseparameters:
      time: 1
    video: False
    videoparameters: None
  folder: /scratch/wv385/Documents/git/model-quantum-spikes/spiking_neural_network/test2
replacements:
  w: [1.]
  bf: [1.]