{
  "experiment": "Surrogate-gradient LIF spiking classifier",
  "results": {
    "spiking_lif": {
      "parameters": 4810,
      "best_epoch": 90,
      "clean": {
        "accuracy": 0.9814814814814815,
        "loss": 0.10020709313728192,
        "examples": 270,
        "mean_hidden_spike_rate": 0.4139985541502635,
        "synaptic_activity_proxy": 847.8690388997396
      },
      "gaussian_noise_0.20": {
        "accuracy": 0.9074074074074074,
        "loss": 0.2934244712193807,
        "examples": 270,
        "mean_hidden_spike_rate": 0.40773192048072815,
        "synaptic_activity_proxy": 835.0349731445312
      }
    },
    "matched_dense": {
      "parameters": 4810,
      "best_epoch": 58,
      "clean": {
        "accuracy": 0.9740740740740741,
        "loss": 0.11060164258987815,
        "examples": 270
      },
      "gaussian_noise_0.20": {
        "accuracy": 0.9074074074074074,
        "loss": 0.2915844806918391,
        "examples": 270
      }
    }
  },
  "activity_boundary": "Spike rate is an activity proxy, not measured hardware energy."
}