# neuron model
mod:
  I:
    a: 60
    b: 15 #10
    c: 4
    tau_v1: 17
    tau_v2: 17
    tau_u: 10
    v_reset: -47 #-35 #-45
  E:

net:
  NE1: 800
  NE2: 0
  NI1: 200
  NI2: 0

  connectTime: 0
  inE: 180
  noise:
    var: 400 #200
    mean: 100
    kE1: 0
    kE2: 0
    kNE1: 1
    kNE2: 1

  # WEIGTHS
  sG: 0
  w:
    var: 1
    mu: 1
    distrib: 'lognormal_gap'
    k: 40

    E1E1: 500
    E1E2: 100
    E1I1: 300
    E1I2: 100

    E2E1: 100
    E2E2: 500
    E2I1: 100
    E2I2: 300

    I1E1: -5000
    I1E2: -100
    I1I1: -80
    I1I2: -100

    I2E1: -100
    I2E2: -5000
    I2I1: -100
    I2I2: -80

  g1: 8
  g2: 8

sim:
  dt: 0.1
  both: 0

plast:
  ratio: 2
  startPlast: 100000
  stabTime: 100000