config.json

{
  "model_type": "spiking_neural_network",
  "architecture": "recurrent_lif",
  "task": "audio_classification",
  "dataset": "spiking_heidelberg_digits",
  "input_channels": 700,
  "hidden_size": 512,
  "output_classes": 20,
  "neuron_model": "cuba_lif",
  "recurrent": true,
  "time_bins": 250,
  "dt_ms": 4.0,
  "threshold": 1.0,
  "dropout": 0.3,
  "surrogate_gradient": "fast_sigmoid",
  "surrogate_scale": 25.0,
  "training": {
    "optimizer": "adamw",
    "learning_rate": 0.001,
    "weight_decay": 0.0001,
    "scheduler": "cosine_annealing",
    "epochs": 200,
    "batch_size": 128,
    "gradient_clip_norm": 1.0
  },
  "results": {
    "float_accuracy": 0.859,
    "quantized_accuracy_16bit": 0.854,
    "quantization_loss": 0.004
  },
  "hardware_deployment": {
    "target_processors": ["catalyst_n1", "catalyst_n2"],
    "weight_precision": "int16",
    "threshold_hw": 1000,
    "decay_precision": "12bit_fractional"
  }
}