# Эксперимент: Causal E/I Micro-Event Cell (#942)

{
  "worked": true,
  "confidence": 9,
  "verdict": "Built a causal timestamp-ordered E/I micro-event cell and a signed-current aggregation baseline in causal_ei_experiment.py. All three mechanism predictions were confirmed: interval fractions matched analytic values within 0.0019, random-order firing was 0.4983 versus the predicted 0.5, and unsafe-case disagreement was 0.4989 versus 0.5. The mini-experiment found 35.1% unsafe cases and 17.5% overall disagreement, demonstrating the claimed near-threshold mechanism; this is not evidence of trained-task accuracy improvement.",
  "metrics": {
    "baseline": "Spike rate 0.15002; one signed net-current update per macro-step.",
    "idea": "Micro-event spike rate 0.32525; overall disagreement 0.17523; unsafe fraction 0.35121; unsafe-case disagreement 0.49893 versus predicted 0.5; maximum toy interval-sweep absolute error 0.00184; random-order firing 0.4983 versus predicted 0.5."
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 causal_ei_experiment.py",
  "files": [
    "causal_ei_experiment.py",
    "results.json"
  ],
  "limitations": "No trained recurrent SNN or classification accuracy experiment was run, and computational speed/FLOPs were not benchmarked. The mini-experiment uses two events per sample and validates local causal-versus-aggregated behavior rather than the paper's population-level asymptotic theorem."
}