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digital-drosophila/registry/phase4ad-author-semantics/evidence/oracle/trio-float64-repeat/run-spec.json
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2026-09-30 07:23:09 +08:00

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{
"author_commit": "91bdd1e7dcf193f3e7ca5a8933497fcef63b7960",
"author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
"config": {
"author_precisions": [
"float64",
"float32"
],
"comparison": {
"exact_spike_events_required_for_oracle_validation": true,
"float32_state_max_abs_tolerance_mv": 0.001,
"float64_state_max_abs_tolerance_mv": 1e-08,
"precision_cross_comparison_may_diverge_but_must_be_reported": true
},
"component_policies": [
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"reset_g_only",
"refractory_gate_only",
"reset_and_refractory"
],
"dt_ms": 0.1,
"duration_ms": 1000.0,
"experiment": "experiments/phase4ad-author-semantics",
"human_authorization": "\u5141\u8bb8\u72ec\u7acb\u65b0\u6a21\u578b\u5206\u652f\u6d4b\u8bd5\u52a8\u529b\u5b66\u5047\u8bbe",
"late_start_ms": 500.0,
"model": {
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"membrane_tau_ms": 20.0,
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"reset_potential_mv": -52.0,
"resting_potential_mv": -52.0,
"synaptic_delay_ms": 1.8,
"synaptic_tau_ms": 5.0,
"threshold_mv": -45.0,
"w_syn_mv_per_anatomical_synapse": 0.275
},
"model_directory": "models/male-cns-lif/author-semantics-lab-v1",
"motifs": [
"pair",
"trio",
"five",
"feedforward",
"no_input"
],
"name": "author-semantics-lab-v1",
"no_training_or_candidate": true,
"phase": "4AD",
"prior_experiment": "experiments/phase4ac-lif-semantics",
"prior_model": "models/male-cns-lif/lif-semantics-audit-v1",
"root": "/data/digital-drosophila",
"seed_margin_mv": 1.0,
"seed_node": 1381
},
"delay_steps": 18,
"dt_ms": 0.1,
"edge_ids": [
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],
"external_arrivals": {
"events": 0,
"ordering": "after default_synapses.pre"
},
"internal_voltage_unit": "volt",
"nodes": [
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],
"parameter_checks": {
"membrane_tau_ms": {
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"config": 20.0
},
"refractory_ms": {
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"config": 2.2
},
"reset_potential_mv": {
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},
"resting_potential_mv": {
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},
"synaptic_delay_ms": {
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},
"synaptic_tau_ms": {
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},
"threshold_mv": {
"author": -45.0,
"config": -45.0
},
"w_syn_mv_per_anatomical_synapse": {
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"config": 0.275
}
},
"precision": "float64",
"preferences": {
"codegen.target": "numpy",
"core.default_float_dtype": "float64",
"legacy.refractory_timing": false
},
"refractory_steps": 22,
"returned_voltage_unit": "mV",
"seed": {
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"margin_mv": 1.0,
"requested_global_node": 1381
},
"steps": 10000,
"weight_rule": "raw_count multiplied by unchanged author w_syn; no sign inference"
}