structured_inhibition_spatial_network_model/scripts/competition_gain/micro_network_parameter_space.json

{
  "network": {
    "N_E": {
      "value": 10,
      "comment": "number of excitatory neurons will be split in two populations (should be multiple of 2)"
    },
    "N_I": {
      "value": 2,
      "comment": "number of excitatory neurons"
    },
    "architecture": {
      "value": 0,
      "comment": "specifies the circuit architecture: 0 (no connectivity), 1 (reciprocal E1<->I<->E2), 2 (directional E1->I1->E2 and E2->I2->E1"
    }
  },
  "synapses": {
    "ex_in": {
      "delay": {
        "value": 3,
        "comment": "delay of excitatory synapses"
      },
      "strength": {
        "value": 3,
        "comment": "strength of excitatory synapses in mV"
      }
    },
    "in_ex": {
      "delay": {
        "value": 3,
        "comment": "delay of inhibitory synapses"
      },
      "strength": {
        "value": 20,
        "comment": "strength of inhibitory synapses in nS"
      }
    }
  },
  "input": {
    "baseline": {
      "value": 0.2,
      "comment": "baseline input in nA to all excitatory neurons"
    },
    "to_1": {
      "value": 0.0,
      "comment": "additional input to population 1"
    },
    "to_2": {
      "value": 0.0,
      "comment": "additional input to population 2"
    }
  }
}