{
  "gate": true,
  "checks": {
    "exact_author_source": true,
    "one_poisson_input": true,
    "initial_refractory_is_original": true,
    "only_excited_target_loses_refractory": true,
    "actual_voltage_interface": true,
    "actual_N_one": true,
    "actual_rate_150_hz": true,
    "actual_weight_68_75_mv": true,
    "actual_synapses_slot_order_zero": true,
    "zero_elapsed_time": true,
    "no_recorded_spikes": true,
    "compile_preserves_voltage": true,
    "compile_preserves_g": true,
    "compile_preserves_weights": true,
    "compile_preserves_refractory_configuration": true
  },
  "author_commit": "91bdd1e7dcf193f3e7ca5a8933497fcef63b7960",
  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
  "fixture": "two synthetic nodes, one raw_count=1 connection",
  "nodes": [
    -2,
    -1
  ],
  "exc_local_indices": [
    0
  ],
  "exc2_local_indices": [],
  "rfc_before_ms": [
    2.2,
    2.2
  ],
  "rfc_after_ms": [
    0.0,
    2.2
  ],
  "poisson_inputs": [
    {
      "name": "poissoninput",
      "type": "PoissonInput",
      "target_group": "default_neurons_subgroup",
      "target_local_start": 0,
      "target_local_stop": 1,
      "target_global_nodes": [
        -2
      ],
      "target_var": "v",
      "N": 1,
      "rate_hz": 150.0,
      "weight_mv": 68.75,
      "weight_volt": 0.06875,
      "when": "synapses",
      "order": 0,
      "dt_ms": 0.1,
      "abstract_code": "v += poissoninput_binomial()*68.75 * mvolt",
      "generated_code": [
        "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    _lio_1 = 68.75 * mvolt\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    _sub_idx = _array_default_neurons_subgroup__sub_idx\n    v = _array_default_neurons_v[_sub_idx]\n    not_refractory = _array_default_neurons_not_refractory[_sub_idx]\n    v[not_refractory] += _lio_1 * poissoninput_binomial(_vectorisation_idx[not_refractory])\n    _array_default_neurons_v[_sub_idx] = v\n"
      ]
    }
  ],
  "synaptic_weight_mv": [
    0.275
  ],
  "input_hashes": {
    "completeness.csv": "06e601b217fdbc48eee57eac01cc9a9fa649ec2a1810a2e212efcd3e4b632303",
    "connectivity.parquet": "34f12d50889ccf2e637d913a0f3c4104d49032a6a67f9c3fbcd52e68ce95d701"
  },
  "simulation_duration_ms": 0.0,
  "stochastic_time_steps": 0,
  "random_realization_tested": false,
  "common_seed_experiment": false,
  "interpretation": "Original poi adds 68.75 mV to voltage at 150 Hz with N=1 in the synapses slot and sets its target rfc to zero. This interface is not the common initial seed experiment.",
  "scope": "Compile-time interface audit only; no stochastic trial, learning, or whole-brain simulation. The optional exc2 helper branch is not exercised."
}