{
  "goal": "Only the original fly spiking circuit determines motor events; external code supplies stimulus, a fixed motor decoder and resource bookkeeping.",
  "user_correction": "벌레의 뇌만 가지고 수행하는 실험을 원함",
  "source_commit": "91bdd1e7dcf193f3e7ca5a8933497fcef63b7960",
  "source_repo": "https://github.com/philshiu/Drosophila_brain_model",
  "host": "linuxpc",
  "seeds": [20261041, 20261042, 20261043],
  "conditions": ["intact", "sensory-block", "mn9-input-cut", "mn9-restored"],
  "duration_ms": 1000,
  "dt_ms": 0.1,
  "feedback_ms": 10,
  "candidate_input_hz": 150,
  "input_definition": "The 21 neu_sugar IDs are parsed from the pinned official example.ipynb.",
  "motor_id": 720575940660219265,
  "resource_units": 50,
  "motor_decoder": "One MN9 spike consumes one abstract resource unit, clipped at zero; no movement or decision policy.",
  "sensory_encoder": "Candidate sugar pulses pass only while local contacted resource remains, and only outside the sensory-block condition. Gate updated each 10ms; circuit state is never reset between windows.",
  "intervention": "mn9-input-cut zeros all incoming MN9 synaptic weights. mn9-restored zeros then restores exactly those original weights before execution.",
  "acceptance": ["All seven original source/data Git blobs match the author snapshot before and after execution", "Full 127400 neuron / 14687178 synapse model in every trial", "Same candidate input pulses per seed in all conditions; actual input may diverge through environment feedback", "Every consumed unit is accounted for by recorded MN9 spikes and fixed saturation", "Sensory/motor cuts and full restoration reported without hiding failures", "Restore matches intact entire spike train and feedback trajectory for each seed"],
  "excluded_controllers": ["Q-learning", "scripted goal priorities", "A* or other route planners", "SUMO driving policy", "LLM policy", "pretrained body controller"],
  "limits": ["Minimal contact-feeding reflex, not food search, turning, driving or multi-need behavior", "Abstract stimulus/actuator gains are engineered, not calibrated physical feeding", "Original model has fixed weights; no new plasticity or learning claimed", "Reduced 466-neuron candidate is not used"],
  "status": "prepared-not-run"
}