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20260516_115328/nas_best.json

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+{
+  "_meta": {
+    "name": "nas_best_t034",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 34, fitness 6.6312. Plug-and-play compatible with architectures/default.json: drop this file into architectures/ or load with NEURAXON_ARCH=path/to/this.json python main.py",
+    "source": "NxonArchNAS",
+    "rank": 1,
+    "trial_id": 34,
+    "fitness": 6.631152470317108,
+    "saved_at": "2026-05-16T13:53:38",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 15.933433578317677,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 9.866089975255107,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 20.52314917652828,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 13,
+    "circadian_cycle_ticks": 953,
+    "idle_explore_seconds": 2.3082238352518205,
+    "explore_probability": 0.28587063207710584,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 14,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.2878711497530193,
+    "afferent_synapse_strength": 1.400208860719777,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.6696725595100963,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.01816313229834963,
+    "intrinsic_timescale_default": 14.327896646465653,
+    "resting_potential_decay": 0.23664953440050707,
+    "sensorimotor_coupling": 0.22158570084861895,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 9,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.2991542491237722,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.04424751916841588,
+    "plasticity_threshold": 0.5761254049840516,
+    "adaptation_tau_ticks": 22.084866821532543,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.1413671625335573,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.9497807479250626,
+      1.5193345022631022
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 0.8532261393788874,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.05720464464864435,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.06666469048504196,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260516_115328/nas_log.csv

@@ -0,0 +1,94 @@
+trial_id,completed_at_iso,fitness,final_alive,peak_alive,alive_q1,alive_q2,alive_q3,alive_mean,M1,M6,M9,M10,M10_peak,mean_streak_last,mean_streak_first,locked,surv_score,expl_rate,sm_corr,sm_corr_peak,sm_corr_mean,n_samples,wall_actual_s,error,arch_summary,is_global_best
+15,2026-05-16T12:53:32,4.7939,15.0,21.0,20.0,17.0,16.0,17.00,0.2311,0.0505,1.0659,-0.2112,0.7157,80.55,8.74,0.9921,0.3905,0.0503,0.0000,0.8018,0.0282,9678,3603.2,,"metabolic_ramp_per_sec=13.155 max_atrophy=8.985 metabolic_rate_abs_cap_multiple=17.976 idle_explore_seconds=1.763 explore_probability=0.42749 mate_cooldown_seconds=17 circadian_cycle_ticks=478 num_hidden_neurons_default=24 connection_probability=0.24028 afferent_synapse_strength=1.258 firing_threshold_excitatory=0.40012 spontaneous_firing_rate=0.01108 intrinsic_timescale_default=17.458 resting_potential_decay=0.245 sensorimotor_coupling=1.964 symmetric_stdp=True refractory_period_ticks=7 post_spike_mp_reset=0.44216 learning_rate=0.00398 plasticity_threshold=0.48927 autoreceptor_coefficient=0.23024 adaptation_tau_ticks=41.841 intrinsic_timescale_jitter=4.124 firing_threshold_jitter=0.09494 mutation_strength=0.06357 metabolic_rate_multiplier_range=[0.6593919886693191, 1.096637545198817]",1
+3,2026-05-16T12:53:32,5.5584,13.0,21.0,17.0,17.0,16.0,15.75,0.1970,0.1768,1.0551,-0.0124,0.4051,2.41,1.95,0.9834,0.4016,0.0451,-0.0194,0.7874,0.0281,9880,3603.2,,"metabolic_ramp_per_sec=12.286 max_atrophy=3.429 metabolic_rate_abs_cap_multiple=15.261 idle_explore_seconds=1.939 explore_probability=0.52339 mate_cooldown_seconds=17 circadian_cycle_ticks=898 num_hidden_neurons_default=19 connection_probability=0.41935 afferent_synapse_strength=1.079 firing_threshold_excitatory=0.4658 spontaneous_firing_rate=0.07946 intrinsic_timescale_default=19.21 resting_potential_decay=0.12273 sensorimotor_coupling=0.14135 symmetric_stdp=False refractory_period_ticks=2 post_spike_mp_reset=0.62745 learning_rate=0.0256 plasticity_threshold=0.46886 autoreceptor_coefficient=0.06271 adaptation_tau_ticks=25.265 intrinsic_timescale_jitter=7.769 firing_threshold_jitter=0.12912 mutation_strength=0.02149 metabolic_rate_multiplier_range=[0.9486424830840339, 1.3410128898045255]",1
+5,2026-05-16T12:53:32,6.2095,14.0,19.0,16.0,14.0,14.0,14.50,0.2582,0.0544,1.1354,-0.0799,0.8922,3.03,4.32,1.0000,0.3920,0.0489,0.0000,0.7477,0.0094,9910,3603.3,,"metabolic_ramp_per_sec=2.312 max_atrophy=14.043 metabolic_rate_abs_cap_multiple=53.694 idle_explore_seconds=2.13 explore_probability=0.38451 mate_cooldown_seconds=6 circadian_cycle_ticks=546 num_hidden_neurons_default=24 connection_probability=0.43408 afferent_synapse_strength=0.70278 firing_threshold_excitatory=0.5458 spontaneous_firing_rate=0.00606 intrinsic_timescale_default=24.733 resting_potential_decay=0.29146 sensorimotor_coupling=0.38517 symmetric_stdp=True refractory_period_ticks=8 post_spike_mp_reset=0.16513 learning_rate=0.01093 plasticity_threshold=0.54264 autoreceptor_coefficient=0.24287 adaptation_tau_ticks=47.157 intrinsic_timescale_jitter=5.704 firing_threshold_jitter=0.05985 mutation_strength=0.10732 metabolic_rate_multiplier_range=[0.8643428188225319, 1.4294271976547919]",1
+9,2026-05-16T12:53:32,6.3487,19.0,35.0,29.0,26.0,24.0,24.50,0.2194,0.0682,1.1021,0.3072,0.8963,2.02,2.12,1.0000,0.4044,0.0762,0.0000,1.0000,0.0655,9526,3603.3,,"metabolic_ramp_per_sec=2.91 max_atrophy=8.356 metabolic_rate_abs_cap_multiple=52.27 idle_explore_seconds=0.45075 explore_probability=0.24078 mate_cooldown_seconds=19 circadian_cycle_ticks=540 num_hidden_neurons_default=18 connection_probability=0.18597 afferent_synapse_strength=1.668 firing_threshold_excitatory=0.47386 spontaneous_firing_rate=0.02599 intrinsic_timescale_default=21.626 resting_potential_decay=0.20481 sensorimotor_coupling=1.751 symmetric_stdp=True refractory_period_ticks=4 post_spike_mp_reset=0.20426 learning_rate=0.02006 plasticity_threshold=0.39547 autoreceptor_coefficient=0.12916 adaptation_tau_ticks=36.868 intrinsic_timescale_jitter=6.015 firing_threshold_jitter=0.01088 mutation_strength=0.07958 metabolic_rate_multiplier_range=[0.7049989779295668, 1.2238974579495199]",1
+0,2026-05-16T12:53:32,5.6217,13.0,29.0,26.0,21.0,16.0,19.00,0.2263,0.0312,0.9396,0.4625,0.7469,2.29,2.48,1.0000,0.4284,0.0976,0.0000,0.9910,0.0028,9867,3603.5,,"metabolic_ramp_per_sec=12.231 max_atrophy=1.838 metabolic_rate_abs_cap_multiple=22.302 idle_explore_seconds=0.79106 explore_probability=0.64188 mate_cooldown_seconds=16 circadian_cycle_ticks=1058 num_hidden_neurons_default=23 connection_probability=0.17608 afferent_synapse_strength=1.106 firing_threshold_excitatory=0.40894 spontaneous_firing_rate=0.00917 intrinsic_timescale_default=19.118 resting_potential_decay=0.10663 sensorimotor_coupling=0.59651 symmetric_stdp=True refractory_period_ticks=3 post_spike_mp_reset=0.44921 learning_rate=0.0049 plasticity_threshold=0.64772 autoreceptor_coefficient=0.20176 adaptation_tau_ticks=16.386 intrinsic_timescale_jitter=1.723 firing_threshold_jitter=0.11452 mutation_strength=0.03329 metabolic_rate_multiplier_range=[0.7479150393537258, 1.202829237919403]",0
+6,2026-05-16T12:53:32,4.7896,11.0,18.0,13.0,13.0,11.0,12.00,0.2434,0.0386,0.9831,-0.1683,0.2123,1.92,2.00,1.0000,0.4601,0.0564,0.0000,0.6955,0.0031,9729,3603.6,,"metabolic_ramp_per_sec=7.975 max_atrophy=13.645 metabolic_rate_abs_cap_multiple=31.477 idle_explore_seconds=0.84539 explore_probability=0.23842 mate_cooldown_seconds=6 circadian_cycle_ticks=902 num_hidden_neurons_default=23 connection_probability=0.21903 afferent_synapse_strength=0.86426 firing_threshold_excitatory=0.4213 spontaneous_firing_rate=0.02877 intrinsic_timescale_default=13.037 resting_potential_decay=0.32636 sensorimotor_coupling=2.579 symmetric_stdp=False refractory_period_ticks=8 post_spike_mp_reset=0.238 learning_rate=0.01723 plasticity_threshold=0.38569 autoreceptor_coefficient=0.07646 adaptation_tau_ticks=47.421 intrinsic_timescale_jitter=6.277 firing_threshold_jitter=0.12112 mutation_strength=0.04475 metabolic_rate_multiplier_range=[0.7998650826638496, 1.309969064471487]",0
+11,2026-05-16T12:53:32,6.3563,23.0,33.0,28.0,28.0,24.0,25.75,0.2476,0.0733,1.0325,0.1260,0.8177,2.27,2.27,1.0000,0.4070,0.0744,0.0000,1.0000,0.0604,9215,3603.7,,"metabolic_ramp_per_sec=13.482 max_atrophy=4.249 metabolic_rate_abs_cap_multiple=40.98 idle_explore_seconds=0.88076 explore_probability=0.49312 mate_cooldown_seconds=20 circadian_cycle_ticks=1166 num_hidden_neurons_default=7 connection_probability=0.17769 afferent_synapse_strength=1.108 firing_threshold_excitatory=0.483 spontaneous_firing_rate=0.00505 intrinsic_timescale_default=24.965 resting_potential_decay=0.25928 sensorimotor_coupling=0.78587 symmetric_stdp=True refractory_period_ticks=8 post_spike_mp_reset=0.70567 learning_rate=0.01217 plasticity_threshold=0.34475 autoreceptor_coefficient=0.23901 adaptation_tau_ticks=37.641 intrinsic_timescale_jitter=2.954 firing_threshold_jitter=0.08288 mutation_strength=0.07587 metabolic_rate_multiplier_range=[0.6521689999174818, 1.0698154759334568]",1
+7,2026-05-16T12:53:32,5.7294,22.0,30.0,25.0,23.0,23.0,23.25,0.2898,0.0745,1.0346,-0.0642,0.6242,2.13,2.15,1.0000,0.3940,0.0676,0.0000,0.6555,0.0028,9510,3603.8,,"metabolic_ramp_per_sec=3.551 max_atrophy=7.319 metabolic_rate_abs_cap_multiple=30.026 idle_explore_seconds=1.327 explore_probability=0.63745 mate_cooldown_seconds=16 circadian_cycle_ticks=969 num_hidden_neurons_default=9 connection_probability=0.16818 afferent_synapse_strength=1.474 firing_threshold_excitatory=0.64018 spontaneous_firing_rate=0.00677 intrinsic_timescale_default=12.215 resting_potential_decay=0.23407 sensorimotor_coupling=0.42055 symmetric_stdp=False refractory_period_ticks=4 post_spike_mp_reset=0.46263 learning_rate=0.03338 plasticity_threshold=0.33015 autoreceptor_coefficient=0.2116 adaptation_tau_ticks=44.239 intrinsic_timescale_jitter=4.325 firing_threshold_jitter=0.00221 mutation_strength=0.03212 metabolic_rate_multiplier_range=[0.6342680548705601, 1.4086796916991873]",0
+19,2026-05-16T12:53:32,4.8140,18.0,25.0,22.0,22.0,20.0,20.50,0.2419,0.0651,0.9849,-0.2424,0.2557,1.97,2.03,1.0000,0.3925,0.0611,0.0000,0.0000,0.0000,9991,3603.7,,"metabolic_ramp_per_sec=16.365 max_atrophy=8.091 metabolic_rate_abs_cap_multiple=22.193 idle_explore_seconds=1.368 explore_probability=0.43331 mate_cooldown_seconds=16 circadian_cycle_ticks=995 num_hidden_neurons_default=18 connection_probability=0.36725 afferent_synapse_strength=1.609 firing_threshold_excitatory=0.67586 spontaneous_firing_rate=0.07584 intrinsic_timescale_default=19.751 resting_potential_decay=0.32673 sensorimotor_coupling=1.776 symmetric_stdp=False refractory_period_ticks=1 post_spike_mp_reset=0.64275 learning_rate=0.0031 plasticity_threshold=0.48468 autoreceptor_coefficient=0.06006 adaptation_tau_ticks=25.164 intrinsic_timescale_jitter=6.09 firing_threshold_jitter=0.05687 mutation_strength=0.11776 metabolic_rate_multiplier_range=[0.6740810994740185, 1.2297651926847197]",0
+21,2026-05-16T12:53:32,5.1077,18.0,33.0,26.0,22.0,19.0,21.25,0.2069,0.0490,0.9911,-0.0394,0.4342,2.39,2.16,1.0000,0.4035,0.0860,0.0000,0.9956,0.0069,9990,3603.8,,"metabolic_ramp_per_sec=17.436 max_atrophy=2.959 metabolic_rate_abs_cap_multiple=9.335 idle_explore_seconds=0.98631 explore_probability=0.60641 mate_cooldown_seconds=12 circadian_cycle_ticks=706 num_hidden_neurons_default=12 connection_probability=0.1728 afferent_synapse_strength=1.429 firing_threshold_excitatory=0.58817 spontaneous_firing_rate=0.00663 intrinsic_timescale_default=24.995 resting_potential_decay=0.31257 sensorimotor_coupling=1.801 symmetric_stdp=False refractory_period_ticks=12 post_spike_mp_reset=0.98384 learning_rate=0.02484 plasticity_threshold=0.43888 autoreceptor_coefficient=0.13568 adaptation_tau_ticks=24.823 intrinsic_timescale_jitter=6.797 firing_threshold_jitter=0.12335 mutation_strength=0.03372 metabolic_rate_multiplier_range=[0.7770862763869772, 1.2376771461737057]",0
+1,2026-05-16T12:53:32,5.0301,19.0,27.0,24.0,22.0,19.0,21.00,0.2781,0.0618,1.0546,0.3474,0.3495,21.83,5.53,1.0000,0.3906,0.0564,0.0000,0.5789,0.0039,9205,3603.9,,"metabolic_ramp_per_sec=8.079 max_atrophy=6.346 metabolic_rate_abs_cap_multiple=25.886 idle_explore_seconds=0.88195 explore_probability=0.22607 mate_cooldown_seconds=13 circadian_cycle_ticks=849 num_hidden_neurons_default=9 connection_probability=0.44193 afferent_synapse_strength=1.054 firing_threshold_excitatory=0.56561 spontaneous_firing_rate=0.04985 intrinsic_timescale_default=21.607 resting_potential_decay=0.31543 sensorimotor_coupling=1.732 symmetric_stdp=False refractory_period_ticks=0 post_spike_mp_reset=0.66126 learning_rate=0.02408 plasticity_threshold=0.69409 autoreceptor_coefficient=0.22106 adaptation_tau_ticks=44.659 intrinsic_timescale_jitter=6.673 firing_threshold_jitter=0.0244 mutation_strength=0.06619 metabolic_rate_multiplier_range=[0.7330441787637081, 1.2993756663026397]",0
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+13,2026-05-16T12:53:32,4.9331,17.0,30.0,26.0,20.0,18.0,20.25,0.3154,0.0619,1.0446,-0.5099,0.5283,1.93,2.02,1.0000,0.4174,0.0451,0.0000,1.0000,0.0123,9074,3604.0,,"metabolic_ramp_per_sec=6.269 max_atrophy=12.13 metabolic_rate_abs_cap_multiple=13.621 idle_explore_seconds=2.219 explore_probability=0.71516 mate_cooldown_seconds=9 circadian_cycle_ticks=504 num_hidden_neurons_default=20 connection_probability=0.2549 afferent_synapse_strength=1.585 firing_threshold_excitatory=0.6614 spontaneous_firing_rate=0.00928 intrinsic_timescale_default=22.521 resting_potential_decay=0.19962 sensorimotor_coupling=0.83581 symmetric_stdp=False refractory_period_ticks=12 post_spike_mp_reset=0.27912 learning_rate=0.01577 plasticity_threshold=0.45987 autoreceptor_coefficient=0.24623 adaptation_tau_ticks=31.449 intrinsic_timescale_jitter=7.763 firing_threshold_jitter=0.02679 mutation_strength=0.14513 metabolic_rate_multiplier_range=[0.9287329991136505, 1.1134379635182852]",0
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+24,2026-05-16T12:53:33,4.6676,16.0,27.0,20.0,19.0,16.0,17.75,0.2212,0.0497,1.0774,-0.4683,0.4835,2.00,1.93,1.0000,0.3888,0.0463,0.0000,0.0000,0.0000,9047,3604.0,,"metabolic_ramp_per_sec=9.26 max_atrophy=5.639 metabolic_rate_abs_cap_multiple=19.988 idle_explore_seconds=1.887 explore_probability=0.38933 mate_cooldown_seconds=17 circadian_cycle_ticks=848 num_hidden_neurons_default=11 connection_probability=0.20746 afferent_synapse_strength=1.486 firing_threshold_excitatory=0.48295 spontaneous_firing_rate=0.02564 intrinsic_timescale_default=24.725 resting_potential_decay=0.2492 sensorimotor_coupling=2.942 symmetric_stdp=False refractory_period_ticks=4 post_spike_mp_reset=0.22748 learning_rate=0.00356 plasticity_threshold=0.30566 autoreceptor_coefficient=0.15683 adaptation_tau_ticks=20.972 intrinsic_timescale_jitter=5.579 firing_threshold_jitter=0.01894 mutation_strength=0.1329 metabolic_rate_multiplier_range=[0.9410032258859582, 1.3543474317392346]",0
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+23,2026-05-16T12:53:33,5.0192,21.0,33.0,24.0,22.0,22.0,22.25,0.2417,0.0697,1.0453,-0.0038,0.3517,2.07,2.02,1.0000,0.3915,0.0419,0.0000,0.6454,0.0018,9984,3604.1,,"metabolic_ramp_per_sec=6.134 max_atrophy=5.275 metabolic_rate_abs_cap_multiple=39.0 idle_explore_seconds=2.236 explore_probability=0.53347 mate_cooldown_seconds=14 circadian_cycle_ticks=495 num_hidden_neurons_default=8 connection_probability=0.22241 afferent_synapse_strength=1.088 firing_threshold_excitatory=0.56655 spontaneous_firing_rate=0.00974 intrinsic_timescale_default=18.474 resting_potential_decay=0.27796 sensorimotor_coupling=1.345 symmetric_stdp=False refractory_period_ticks=1 post_spike_mp_reset=0.29424 learning_rate=0.00735 plasticity_threshold=0.39732 autoreceptor_coefficient=0.18279 adaptation_tau_ticks=24.761 intrinsic_timescale_jitter=7.973 firing_threshold_jitter=0.08256 mutation_strength=0.06574 metabolic_rate_multiplier_range=[0.7937155342535873, 1.2390665667804115]",0
+30,2026-05-16T12:53:33,6.4667,20.0,33.0,29.0,28.0,23.0,25.00,0.2839,0.0765,0.9886,0.2334,0.9388,1.85,2.31,1.0000,0.3974,0.0628,0.0000,1.0000,0.0344,9594,3604.0,,"metabolic_ramp_per_sec=13.357 max_atrophy=5.695 metabolic_rate_abs_cap_multiple=8.711 idle_explore_seconds=1.198 explore_probability=0.33482 mate_cooldown_seconds=19 circadian_cycle_ticks=416 num_hidden_neurons_default=20 connection_probability=0.43412 afferent_synapse_strength=1.377 firing_threshold_excitatory=0.44619 spontaneous_firing_rate=0.06637 intrinsic_timescale_default=14.421 resting_potential_decay=0.27635 sensorimotor_coupling=1.246 symmetric_stdp=True refractory_period_ticks=7 post_spike_mp_reset=0.24373 learning_rate=0.01179 plasticity_threshold=0.45343 autoreceptor_coefficient=0.23437 adaptation_tau_ticks=30.33 intrinsic_timescale_jitter=2.21 firing_threshold_jitter=0.1185 mutation_strength=0.07394 metabolic_rate_multiplier_range=[0.9077641893012667, 1.5252148139357236]",1
+25,2026-05-16T12:53:33,5.3625,19.0,28.0,23.0,21.0,21.0,21.00,0.2834,0.0570,1.0414,0.1050,0.3743,2.15,2.17,1.0000,0.3966,0.0668,0.0000,0.5948,0.0128,9516,3604.1,,"metabolic_ramp_per_sec=9.854 max_atrophy=13.282 metabolic_rate_abs_cap_multiple=37.851 idle_explore_seconds=1.333 explore_probability=0.46428 mate_cooldown_seconds=8 circadian_cycle_ticks=352 num_hidden_neurons_default=14 connection_probability=0.43232 afferent_synapse_strength=1.173 firing_threshold_excitatory=0.64663 spontaneous_firing_rate=0.01519 intrinsic_timescale_default=9.63 resting_potential_decay=0.25736 sensorimotor_coupling=0.16083 symmetric_stdp=False refractory_period_ticks=12 post_spike_mp_reset=0.56284 learning_rate=0.00532 plasticity_threshold=0.69757 autoreceptor_coefficient=0.07369 adaptation_tau_ticks=40.578 intrinsic_timescale_jitter=1.805 firing_threshold_jitter=0.07839 mutation_strength=0.07857 metabolic_rate_multiplier_range=[0.8122111779350369, 1.4849074564138807]",0
+18,2026-05-16T12:53:33,5.3835,12.0,17.0,15.0,13.0,13.0,13.25,0.1846,0.0345,1.0319,0.1971,0.3825,1.90,2.02,1.0000,0.3904,0.0493,0.0000,1.0000,0.0050,9876,3604.3,,"metabolic_ramp_per_sec=6.572 max_atrophy=5.168 metabolic_rate_abs_cap_multiple=24.625 idle_explore_seconds=1.488 explore_probability=0.28302 mate_cooldown_seconds=9 circadian_cycle_ticks=692 num_hidden_neurons_default=10 connection_probability=0.36193 afferent_synapse_strength=0.67707 firing_threshold_excitatory=0.52228 spontaneous_firing_rate=0.02251 intrinsic_timescale_default=17.147 resting_potential_decay=0.15171 sensorimotor_coupling=1.26 symmetric_stdp=False refractory_period_ticks=12 post_spike_mp_reset=0.57569 learning_rate=0.00929 plasticity_threshold=0.6771 autoreceptor_coefficient=0.10972 adaptation_tau_ticks=25.599 intrinsic_timescale_jitter=4.306 firing_threshold_jitter=0.1102 mutation_strength=0.12398 metabolic_rate_multiplier_range=[0.9120745396889791, 1.5096507689391205]",0
+12,2026-05-16T12:53:33,5.2966,22.0,29.0,23.0,24.0,22.0,22.75,0.2065,0.0601,1.1409,-0.4737,0.5322,1.96,2.00,1.0000,0.3913,0.0322,0.0000,0.0000,0.0000,9653,3604.5,,"metabolic_ramp_per_sec=2.669 max_atrophy=6.423 metabolic_rate_abs_cap_multiple=56.521 idle_explore_seconds=2.439 explore_probability=0.22394 mate_cooldown_seconds=11 circadian_cycle_ticks=515 num_hidden_neurons_default=13 connection_probability=0.35008 afferent_synapse_strength=1.024 firing_threshold_excitatory=0.56797 spontaneous_firing_rate=0.05652 intrinsic_timescale_default=29.424 resting_potential_decay=0.28737 sensorimotor_coupling=2.777 symmetric_stdp=False refractory_period_ticks=2 post_spike_mp_reset=0.97621 learning_rate=0.02719 plasticity_threshold=0.65257 autoreceptor_coefficient=0.05496 adaptation_tau_ticks=39.463 intrinsic_timescale_jitter=6.418 firing_threshold_jitter=0.12961 mutation_strength=0.1254 metabolic_rate_multiplier_range=[0.71626491378125, 1.561948737326579]",0
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+90,2026-05-16T14:53:47,4.0471,11.0,21.0,18.0,14.0,14.0,14.25,0.2694,0.0436,1.0225,-0.0172,0.1120,43.77,13.66,1.0000,0.4167,0.0599,0.0000,0.6609,0.0048,9495,3605.6,,"metabolic_ramp_per_sec=11.31 max_atrophy=11.715 metabolic_rate_abs_cap_multiple=14.937 idle_explore_seconds=1.075 explore_probability=0.40313 mate_cooldown_seconds=16 circadian_cycle_ticks=479 num_hidden_neurons_default=20 connection_probability=0.44425 afferent_synapse_strength=1.322 firing_threshold_excitatory=0.45468 spontaneous_firing_rate=0.00727 intrinsic_timescale_default=23.753 resting_potential_decay=0.3359 sensorimotor_coupling=0.11095 symmetric_stdp=False refractory_period_ticks=0 post_spike_mp_reset=0.79111 learning_rate=0.03462 plasticity_threshold=0.42624 autoreceptor_coefficient=0.11202 adaptation_tau_ticks=25.929 intrinsic_timescale_jitter=0.29297 firing_threshold_jitter=0.09704 mutation_strength=0.05719 metabolic_rate_multiplier_range=[0.8853921282295938, 1.3103698722222639]",0
+71,2026-05-16T14:53:47,6.1345,24.0,28.0,27.0,24.0,24.0,24.75,0.2210,0.0797,1.0630,0.0509,0.5402,2.10,2.07,1.0000,0.3958,0.0448,0.0000,0.9507,0.0163,9633,3607.8,,"metabolic_ramp_per_sec=2.597 max_atrophy=13.94 metabolic_rate_abs_cap_multiple=29.73 idle_explore_seconds=2.143 explore_probability=0.76035 mate_cooldown_seconds=6 circadian_cycle_ticks=1156 num_hidden_neurons_default=18 connection_probability=0.38639 afferent_synapse_strength=0.82357 firing_threshold_excitatory=0.6247 spontaneous_firing_rate=0.05615 intrinsic_timescale_default=14.368 resting_potential_decay=0.10937 sensorimotor_coupling=0.89518 symmetric_stdp=False refractory_period_ticks=5 post_spike_mp_reset=0.28456 learning_rate=0.04828 plasticity_threshold=0.51732 autoreceptor_coefficient=0.14878 adaptation_tau_ticks=47.542 intrinsic_timescale_jitter=1.542 firing_threshold_jitter=0.0169 mutation_strength=0.04112 metabolic_rate_multiplier_range=[0.8978709085022988, 1.3074114229534597]",0
+76,2026-05-16T14:53:47,5.9706,23.0,25.0,25.0,23.0,23.0,23.50,0.2274,0.0712,0.9475,-0.1359,0.7089,2.01,2.04,1.0000,0.3892,0.0415,0.0000,0.0000,0.0000,9828,3607.4,,"metabolic_ramp_per_sec=2.312 max_atrophy=11.767 metabolic_rate_abs_cap_multiple=53.694 idle_explore_seconds=2.13 explore_probability=0.35144 mate_cooldown_seconds=6 circadian_cycle_ticks=546 num_hidden_neurons_default=24 connection_probability=0.43408 afferent_synapse_strength=1.59 firing_threshold_excitatory=0.40035 spontaneous_firing_rate=0.00606 intrinsic_timescale_default=24.733 resting_potential_decay=0.29146 sensorimotor_coupling=1.555 symmetric_stdp=True refractory_period_ticks=10 post_spike_mp_reset=0.44204 learning_rate=0.01093 plasticity_threshold=0.54264 autoreceptor_coefficient=0.24287 adaptation_tau_ticks=47.157 intrinsic_timescale_jitter=0.23096 firing_threshold_jitter=0.05985 mutation_strength=0.10732 metabolic_rate_multiplier_range=[0.8643428188225319, 1.4294271976547919]",0
+85,2026-05-16T14:53:47,4.7602,11.0,29.0,21.0,15.0,14.0,15.25,0.2197,0.0771,0.9904,-0.3529,0.4748,1.97,2.67,1.0000,0.4051,0.0928,0.0000,0.7509,0.0127,9265,3606.7,,"metabolic_ramp_per_sec=13.482 max_atrophy=4.249 metabolic_rate_abs_cap_multiple=40.98 idle_explore_seconds=0.88076 explore_probability=0.49312 mate_cooldown_seconds=20 circadian_cycle_ticks=1166 num_hidden_neurons_default=7 connection_probability=0.17769 afferent_synapse_strength=1.108 firing_threshold_excitatory=0.483 spontaneous_firing_rate=0.00505 intrinsic_timescale_default=24.965 resting_potential_decay=0.25928 sensorimotor_coupling=0.78587 symmetric_stdp=True refractory_period_ticks=8 post_spike_mp_reset=0.70567 learning_rate=0.01217 plasticity_threshold=0.34475 autoreceptor_coefficient=0.23901 adaptation_tau_ticks=35.958 intrinsic_timescale_jitter=2.954 firing_threshold_jitter=0.08288 mutation_strength=0.09226 metabolic_rate_multiplier_range=[0.6521689999174818, 1.0698154759334568]",0
+74,2026-05-16T14:53:47,4.9449,9.0,28.0,20.0,16.0,14.0,14.75,0.2484,0.0531,1.0188,0.2724,0.5624,2.50,2.53,0.9974,0.4081,0.0885,0.0000,0.9864,0.0195,9833,3607.9,,"metabolic_ramp_per_sec=12.432 max_atrophy=9.043 metabolic_rate_abs_cap_multiple=58.171 idle_explore_seconds=1.079 explore_probability=0.77921 mate_cooldown_seconds=11 circadian_cycle_ticks=343 num_hidden_neurons_default=9 connection_probability=0.15562 afferent_synapse_strength=1.128 firing_threshold_excitatory=0.65863 spontaneous_firing_rate=0.01775 intrinsic_timescale_default=23.894 resting_potential_decay=0.27737 sensorimotor_coupling=1.964 symmetric_stdp=False refractory_period_ticks=6 post_spike_mp_reset=0.02086 learning_rate=0.00569 plasticity_threshold=0.43542 autoreceptor_coefficient=0.18854 adaptation_tau_ticks=35.993 intrinsic_timescale_jitter=6.756 firing_threshold_jitter=0.0365 mutation_strength=0.09655 metabolic_rate_multiplier_range=[0.898117852322742, 1.5187877351112413]",0
+87,2026-05-16T14:53:48,5.7004,14.0,21.0,18.0,17.0,15.0,16.00,0.2308,0.0360,1.0160,0.9581,0.9646,2.15,2.12,1.0000,0.3876,0.0438,0.0000,0.0000,0.0000,9336,3607.1,,"metabolic_ramp_per_sec=11.31 max_atrophy=14.043 metabolic_rate_abs_cap_multiple=53.694 idle_explore_seconds=2.13 explore_probability=0.38451 mate_cooldown_seconds=6 circadian_cycle_ticks=479 num_hidden_neurons_default=24 connection_probability=0.43408 afferent_synapse_strength=0.70278 firing_threshold_excitatory=0.45468 spontaneous_firing_rate=0.00606 intrinsic_timescale_default=23.753 resting_potential_decay=0.3359 sensorimotor_coupling=0.11095 symmetric_stdp=False refractory_period_ticks=8 post_spike_mp_reset=0.16513 learning_rate=0.01093 plasticity_threshold=0.54264 autoreceptor_coefficient=0.11202 adaptation_tau_ticks=47.157 intrinsic_timescale_jitter=0.29297 firing_threshold_jitter=0.05985 mutation_strength=0.05719 metabolic_rate_multiplier_range=[0.8643428188225319, 1.4294271976547919]",0
+92,2026-05-16T14:53:48,4.3403,18.0,30.0,24.0,20.0,19.0,20.25,0.2894,0.0684,1.0734,-0.1814,0.2294,1.93,1.94,1.0000,0.3942,0.0633,0.0000,0.0000,0.0000,9926,3606.3,,"metabolic_ramp_per_sec=8.262 max_atrophy=9.043 metabolic_rate_abs_cap_multiple=42.739 idle_explore_seconds=1.262 explore_probability=0.43824 mate_cooldown_seconds=17 circadian_cycle_ticks=343 num_hidden_neurons_default=19 connection_probability=0.15562 afferent_synapse_strength=1.705 firing_threshold_excitatory=0.65863 spontaneous_firing_rate=0.02467 intrinsic_timescale_default=20.615 resting_potential_decay=0.27737 sensorimotor_coupling=1.253 symmetric_stdp=False refractory_period_ticks=6 post_spike_mp_reset=0.02086 learning_rate=0.00569 plasticity_threshold=0.62053 autoreceptor_coefficient=0.17363 adaptation_tau_ticks=43.281 intrinsic_timescale_jitter=6.756 firing_threshold_jitter=0.0365 mutation_strength=0.09655 metabolic_rate_multiplier_range=[0.9219194131094846, 1.0984714347138367]",0
+88,2026-05-16T14:53:48,4.5479,14.0,31.0,27.0,20.0,17.0,19.50,0.2401,0.0330,1.0318,0.1908,0.3732,1.94,1.95,1.0000,0.4504,0.0343,0.0000,0.0000,0.0000,9776,3607.6,,"metabolic_ramp_per_sec=2.312 max_atrophy=14.043 metabolic_rate_abs_cap_multiple=53.694 idle_explore_seconds=2.13 explore_probability=0.38451 mate_cooldown_seconds=6 circadian_cycle_ticks=546 num_hidden_neurons_default=24 connection_probability=0.43408 afferent_synapse_strength=0.70278 firing_threshold_excitatory=0.5458 spontaneous_firing_rate=0.00606 intrinsic_timescale_default=24.733 resting_potential_decay=0.29146 sensorimotor_coupling=0.38517 symmetric_stdp=True refractory_period_ticks=8 post_spike_mp_reset=0.16513 learning_rate=0.01093 plasticity_threshold=0.54264 autoreceptor_coefficient=0.24287 adaptation_tau_ticks=47.157 intrinsic_timescale_jitter=4.276 firing_threshold_jitter=0.05985 mutation_strength=0.10732 metabolic_rate_multiplier_range=[0.8643428188225319, 1.4294271976547919]",0
+86,2026-05-16T14:53:49,5.1107,10.0,18.0,16.0,13.0,12.0,12.75,0.2782,0.0306,1.1231,0.3501,0.3525,2.87,2.45,0.9891,0.3863,0.0340,0.0490,1.0000,0.0835,9041,3608.0,,"metabolic_ramp_per_sec=11.31 max_atrophy=11.715 metabolic_rate_abs_cap_multiple=14.937 idle_explore_seconds=2.308 explore_probability=0.28587 mate_cooldown_seconds=16 circadian_cycle_ticks=953 num_hidden_neurons_default=14 connection_probability=0.44425 afferent_synapse_strength=1.4 firing_threshold_excitatory=0.66967 spontaneous_firing_rate=0.01816 intrinsic_timescale_default=14.328 resting_potential_decay=0.3359 sensorimotor_coupling=0.22159 symmetric_stdp=True refractory_period_ticks=9 post_spike_mp_reset=0.79111 learning_rate=0.04425 plasticity_threshold=0.57613 autoreceptor_coefficient=0.11202 adaptation_tau_ticks=22.085 intrinsic_timescale_jitter=0.85323 firing_threshold_jitter=0.09704 mutation_strength=0.05719 metabolic_rate_multiplier_range=[0.9497807479250626, 1.5193345022631022]",0
+77,2026-05-16T14:53:49,4.8369,19.0,25.0,22.0,21.0,21.0,20.75,0.2726,0.0585,1.0755,0.1136,0.2503,1.90,1.90,1.0000,0.3862,0.0426,0.0000,0.0000,0.0000,9508,3609.5,,"metabolic_ramp_per_sec=15.933 max_atrophy=9.866 metabolic_rate_abs_cap_multiple=53.694 idle_explore_seconds=2.308 explore_probability=0.38451 mate_cooldown_seconds=6 circadian_cycle_ticks=953 num_hidden_neurons_default=14 connection_probability=0.28787 afferent_synapse_strength=0.70278 firing_threshold_excitatory=0.5458 spontaneous_firing_rate=0.00606 intrinsic_timescale_default=14.328 resting_potential_decay=0.29146 sensorimotor_coupling=0.22159 symmetric_stdp=True refractory_period_ticks=8 post_spike_mp_reset=0.16513 learning_rate=0.01093 plasticity_threshold=0.54264 autoreceptor_coefficient=0.14137 adaptation_tau_ticks=47.157 intrinsic_timescale_jitter=0.85323 firing_threshold_jitter=0.0572 mutation_strength=0.10732 metabolic_rate_multiplier_range=[0.9497807479250626, 1.5193345022631022]",0
+91,2026-05-16T14:53:49,5.0363,11.0,36.0,33.0,22.0,12.0,19.50,0.2866,0.0759,1.0791,0.1450,0.5614,1.76,2.59,1.0000,0.4220,0.0870,0.0000,0.9966,0.0152,9673,3607.6,,"metabolic_ramp_per_sec=2.91 max_atrophy=8.356 metabolic_rate_abs_cap_multiple=52.27 idle_explore_seconds=0.45075 explore_probability=0.32233 mate_cooldown_seconds=19 circadian_cycle_ticks=540 num_hidden_neurons_default=18 connection_probability=0.18597 afferent_synapse_strength=1.668 firing_threshold_excitatory=0.47386 spontaneous_firing_rate=0.02599 intrinsic_timescale_default=21.626 resting_potential_decay=0.20481 sensorimotor_coupling=1.751 symmetric_stdp=True refractory_period_ticks=4 post_spike_mp_reset=0.20426 learning_rate=0.02006 plasticity_threshold=0.39547 autoreceptor_coefficient=0.12916 adaptation_tau_ticks=36.868 intrinsic_timescale_jitter=6.015 firing_threshold_jitter=0.01088 mutation_strength=0.07958 metabolic_rate_multiplier_range=[0.7049989779295668, 1.2238974579495199]",0

20260516_115328/nas_top1.json

@@ -0,0 +1,149 @@
+{
+  "_meta": {
+    "name": "nas_best_t034",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 34, fitness 6.6312. Plug-and-play compatible with architectures/default.json: drop this file into architectures/ or load with NEURAXON_ARCH=path/to/this.json python main.py",
+    "source": "NxonArchNAS",
+    "rank": 1,
+    "trial_id": 34,
+    "fitness": 6.631152470317108,
+    "saved_at": "2026-05-16T14:53:49",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 15.933433578317677,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 9.866089975255107,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 20.52314917652828,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 13,
+    "circadian_cycle_ticks": 953,
+    "idle_explore_seconds": 2.3082238352518205,
+    "explore_probability": 0.28587063207710584,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 14,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.2878711497530193,
+    "afferent_synapse_strength": 1.400208860719777,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.6696725595100963,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.01816313229834963,
+    "intrinsic_timescale_default": 14.327896646465653,
+    "resting_potential_decay": 0.23664953440050707,
+    "sensorimotor_coupling": 0.22158570084861895,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 9,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.2991542491237722,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.04424751916841588,
+    "plasticity_threshold": 0.5761254049840516,
+    "adaptation_tau_ticks": 22.084866821532543,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.1413671625335573,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.9497807479250626,
+      1.5193345022631022
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 0.8532261393788874,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.05720464464864435,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.06666469048504196,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260516_115328/nas_top2.json

@@ -0,0 +1,149 @@
+{
+  "_meta": {
+    "name": "nas_best_t056",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 56, fitness 6.5571. Plug-and-play compatible with architectures/default.json: drop this file into architectures/ or load with NEURAXON_ARCH=path/to/this.json python main.py",
+    "source": "NxonArchNAS",
+    "rank": 2,
+    "trial_id": 56,
+    "fitness": 6.557091807508496,
+    "saved_at": "2026-05-16T14:53:49",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 11.310453144930241,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 11.715165506966422,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 14.937298672686929,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 16,
+    "circadian_cycle_ticks": 479,
+    "idle_explore_seconds": 1.075057901451217,
+    "explore_probability": 0.4031283549078205,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 20,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.4442457557366548,
+    "afferent_synapse_strength": 1.174237405941509,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.454683399524162,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.007266891770390681,
+    "intrinsic_timescale_default": 23.752991267116283,
+    "resting_potential_decay": 0.3359012876780323,
+    "sensorimotor_coupling": 0.11095137059932714,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": false,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 0,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.7911092132290439,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.03461878447778121,
+    "plasticity_threshold": 0.4262383280198901,
+    "adaptation_tau_ticks": 25.92896222744068,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.11201517658737836,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.8853921282295938,
+      1.3103698722222639
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 0.2929661722952668,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.09703507482011255,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.057194416421701325,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260516_115328/nas_top3.json

@@ -0,0 +1,149 @@
+{
+  "_meta": {
+    "name": "nas_best_t065",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 65, fitness 6.4710. Plug-and-play compatible with architectures/default.json: drop this file into architectures/ or load with NEURAXON_ARCH=path/to/this.json python main.py",
+    "source": "NxonArchNAS",
+    "rank": 3,
+    "trial_id": 65,
+    "fitness": 6.471041762732524,
+    "saved_at": "2026-05-16T14:53:49",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 6.571974103056281,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 1.6103949802877524,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 13.589848387302785,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 11,
+    "circadian_cycle_ticks": 1082,
+    "idle_explore_seconds": 0.5946568767830922,
+    "explore_probability": 0.358683739874548,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 18,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.2597812057552689,
+    "afferent_synapse_strength": 1.080697945217708,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5710844931643088,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.00857745292184885,
+    "intrinsic_timescale_default": 20.170904385665338,
+    "resting_potential_decay": 0.11838293743571046,
+    "sensorimotor_coupling": 1.5127665873696141,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 9,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.6803986401188608,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.00293170774005802,
+    "plasticity_threshold": 0.6900331261655136,
+    "adaptation_tau_ticks": 41.79588913523783,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.12878074254572142,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.7186798549833978,
+      1.5664217118254564
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 6.039721378342351,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.029858682232867494,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.08618592710927368,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260516_115328/trial_000/nxon2_430391171__LifespanLog.txt

@@ -0,0 +1,40 @@
+# Neuraxon Game of Life v4.82 — Per-NxEr lifespan log
+# game_id=nxon2_430391171
+# rows=33 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=10
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+19	1	516	515	1
+6	1	932	931	1
+3	1	997	996	1
+32	876	1062	186	0
+30	164	1145	981	0
+35	908	1167	259	0
+8	1	1590	1589	1
+26	1	1711	1710	1
+23	1	1757	1756	1
+33	885	2213	1328	0
+1	1	2835	2834	1
+29	1	4122	4121	1
+21	1	4470	4469	1
+14	1	4822	4821	1
+0	1	4850	4849	1
+37	2468	4862	2394	0
+2	1	5063	5062	1
+36	1556	5785	4229	0
+31	250	5990	5740	0
+10	1	6091	6090	1
+42	5234	6936	1702	0
+38	2630	7230	4600	0
+39	4042	7798	3756	0
+43	6922	7852	930	0
+41	4914	8008	3094	0
+44	7686	8396	710	0
+20	1	8541	8540	1
+4	1	10060	10059	1
+18	1	10163	10162	1
+16	1	10926	10925	1
+5	1	11022	11021	1
+13	1	11402	11401	1
+22	1	12696	12695	1

20260516_115328/trial_000/nxon2_430391171__MembraneDiag.txt

@@ -0,0 +1,1157 @@
+# Neuraxon Game of Life v4.82 — Membrane diagnostics
+# game_id=nxon2_430391171
+# rows=1152
+# sampled every 100 ticks, first 3 input neurons of first 3 alive NxErs each sample
+tick	nxer_id	neuron_id	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+100	0	0	-0.737171	0.220458	0.030794	-1	0.194874	4	19.057668
+100	0	1	-0.387808	0.160438	0.024437	0	0.159450	1	58.867260
+100	0	2	0.492508	0.246711	0.034231	-1	0.207087	1	16.893261
+100	1	0	-1.119349	0.189125	0.030076	-1	0.190099	1	13.676162
+100	1	1	-0.187720	0.169777	0.017122	1	0.141207	2	46.852692
+100	1	2	0.584009	0.081575	0.012240	0	0.110093	7	106.869871
+100	2	0	-1.951820	0.263933	0.034713	-1	0.210345	2	15.859885
+100	2	1	-0.467337	0.233257	0.027039	1	0.180572	1	7.098345
+100	2	2	-0.290778	0.286849	0.029355	1	0.190467	3	15.417493
+200	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+200	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+200	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+200	1	0	0.025108	0.216912	0.035899	-1	0.209903	1	0.000000
+200	1	1	-1.167630	0.219208	0.034481	-1	0.197415	3	0.000000
+200	1	2	0.249595	0.263362	0.044036	-1	0.219019	1	40.188667
+200	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+200	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
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20260516_115328/trial_000__arch.json

@@ -0,0 +1,45 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-16T11:53:28"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 12.23082877532614,
+    "max_atrophy": 1.8376451955060036,
+    "metabolic_rate_abs_cap_multiple": 22.301524555194202,
+    "idle_explore_seconds": 0.79106362392741,
+    "explore_probability": 0.6418827284984074,
+    "mate_cooldown_seconds": 16,
+    "circadian_cycle_ticks": 1058
+  },
+  "neural": {
+    "num_hidden_neurons_default": 23,
+    "connection_probability": 0.17608164978882485,
+    "afferent_synapse_strength": 1.1063061836223245,
+    "firing_threshold_excitatory": 0.40893916583142115,
+    "spontaneous_firing_rate": 0.009167192661639309,
+    "intrinsic_timescale_default": 19.117816338273972,
+    "resting_potential_decay": 0.10663399242096591,
+    "sensorimotor_coupling": 0.5965129520599455,
+    "symmetric_stdp": true,
+    "refractory_period_ticks": 3,
+    "post_spike_mp_reset": 0.4492090462838536
+  },
+  "operating_ranges": {
+    "learning_rate": 0.00489693023424257,
+    "plasticity_threshold": 0.6477201283171735,
+    "autoreceptor_coefficient": 0.20176147342595346,
+    "adaptation_tau_ticks": 16.386372655075604
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 1.7225100968607103,
+    "firing_threshold_jitter": 0.11452411935097859,
+    "mutation_strength": 0.033287335947580335,
+    "metabolic_rate_multiplier_range": [
+      0.7479150393537258,
+      1.202829237919403
+    ]
+  }
+}

20260516_115328/trial_001/nxon2_024722855__LifespanLog.txt

@@ -0,0 +1,23 @@
+# Neuraxon Game of Life v4.82 — Per-NxEr lifespan log
+# game_id=nxon2_024722855
+# rows=16 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=18
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+29	1	684	683	1
+26	1	1320	1319	1
+18	1	1873	1872	1
+16	1	1905	1904	1
+14	1	1938	1937	1
+33	1760	1967	207	0
+4	1	2212	2211	1
+11	1	2680	2679	1
+31	920	3202	2282	0
+7	1	3907	3906	1
+32	1454	4138	2684	0
+22	1	6247	6246	1
+15	1	6403	6402	1
+17	1	7773	7772	1
+23	1	8440	8439	1
+30	801	8816	8015	0

20260516_115328/trial_001/nxon2_024722855__MembraneDiag.txt

@@ -0,0 +1,1103 @@
+# Neuraxon Game of Life v4.82 — Membrane diagnostics
+# game_id=nxon2_024722855
+# rows=1098
+# sampled every 100 ticks, first 3 input neurons of first 3 alive NxErs each sample
+tick	nxer_id	neuron_id	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+100	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+100	0	1	-0.673459	0.190655	0.021240	1	0.157884	1	53.368750
+100	0	2	0.657665	0.151616	0.027232	0	0.167881	6	6.421084
+100	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+100	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+100	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+100	2	0	-0.901188	0.189020	0.019287	-1	0.150147	1	65.843490
+100	2	1	-1.073491	0.216430	0.025149	0	0.163458	1	34.217358
+100	2	2	-0.973024	0.245083	0.023146	-1	0.165479	1	38.739343
+200	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+200	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+200	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
+200	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+200	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+200	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+200	2	0	-0.617237	0.230609	0.042925	1	0.224695	1	0.000000
+200	2	1	-0.681950	0.222163	0.038968	-1	0.212668	1	0.000000
+200	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000
+300	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+300	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+300	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
+300	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+300	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+300	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+300	2	0	-0.617237	0.230609	0.042925	1	0.224695	1	0.000000
+300	2	1	-0.681950	0.222163	0.038968	-1	0.212668	1	0.000000
+300	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000
+400	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
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+11600	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000
+11700	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+11700	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+11700	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
+11700	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+11700	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+11700	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+11700	2	0	-0.617237	0.230609	0.042925	1	0.224695	1	0.000000
+11700	2	1	-0.681950	0.222163	0.038968	-1	0.212668	1	0.000000
+11700	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000
+11800	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+11800	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+11800	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
+11800	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+11800	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+11800	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+11800	2	0	-0.617237	0.230609	0.042925	1	0.224695	1	0.000000
+11800	2	1	-0.681950	0.222163	0.038968	-1	0.212668	1	0.000000
+11800	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000
+11900	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+11900	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+11900	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
+11900	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+11900	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+11900	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+11900	2	0	-0.617237	0.230609	0.042925	1	0.224695	1	0.000000
+11900	2	1	-0.681950	0.222163	0.038968	-1	0.212668	1	0.000000
+11900	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000
+12000	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+12000	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+12000	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
+12000	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+12000	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+12000	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+12000	2	0	-0.617237	0.230609	0.042925	1	0.224695	1	0.000000
+12000	2	1	-0.681950	0.222163	0.038968	-1	0.212668	1	0.000000
+12000	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000
+12100	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+12100	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+12100	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
+12100	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+12100	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+12100	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+12100	2	0	-0.617237	0.230609	0.042925	1	0.224695	1	0.000000
+12100	2	1	-0.681950	0.222163	0.038968	-1	0.212668	1	0.000000
+12100	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000
+12200	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+12200	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+12200	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
+12200	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+12200	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+12200	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+12200	2	0	-0.617237	0.230609	0.042925	1	0.224695	1	0.000000
+12200	2	1	-0.681950	0.222163	0.038968	-1	0.212668	1	0.000000
+12200	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000

20260516_115328/trial_001__arch.json

@@ -0,0 +1,45 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 1,
+    "sampled_at": "2026-05-16T11:53:28"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 8.078836810197398,
+    "max_atrophy": 6.3462216365424835,
+    "metabolic_rate_abs_cap_multiple": 25.885697568906497,
+    "idle_explore_seconds": 0.8819459078884289,
+    "explore_probability": 0.22607026575385833,
+    "mate_cooldown_seconds": 13,
+    "circadian_cycle_ticks": 849
+  },
+  "neural": {
+    "num_hidden_neurons_default": 9,
+    "connection_probability": 0.44193472919381127,
+    "afferent_synapse_strength": 1.0542412526500242,
+    "firing_threshold_excitatory": 0.5656121893819681,
+    "spontaneous_firing_rate": 0.04985086910778898,
+    "intrinsic_timescale_default": 21.607434552013412,
+    "resting_potential_decay": 0.3154267250776943,
+    "sensorimotor_coupling": 1.7320564357702861,
+    "symmetric_stdp": false,
+    "refractory_period_ticks": 0,
+    "post_spike_mp_reset": 0.6612633185677101
+  },
+  "operating_ranges": {
+    "learning_rate": 0.02408425177770237,
+    "plasticity_threshold": 0.6940886082643031,
+    "autoreceptor_coefficient": 0.22106354420302937,
+    "adaptation_tau_ticks": 44.65934667021079
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 6.672883413126002,
+    "firing_threshold_jitter": 0.024398114573412722,
+    "mutation_strength": 0.0661851910295778,
+    "metabolic_rate_multiplier_range": [
+      0.7330441787637081,
+      1.2993756663026397
+    ]
+  }
+}

20260516_115328/trial_002/nxon2_117492643__LifespanLog.txt

@@ -0,0 +1,31 @@
+# Neuraxon Game of Life v4.82 — Per-NxEr lifespan log
+# game_id=nxon2_117492643
+# rows=24 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=10
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+26	1	651	650	1
+12	1	1347	1346	1
+2	1	1486	1485	1
+31	592	1492	900	0
+24	1	1723	1722	1
+33	1704	1890	186	0
+19	1	2886	2885	1
+16	1	3164	3163	1
+32	1054	4176	3122	0
+5	1	5773	5772	1
+17	1	7330	7329	1
+14	1	8140	8139	1
+30	478	8210	7732	0
+27	1	9670	9669	1
+11	1	9672	9671	1
+0	1	10362	10361	1
+18	1	10387	10386	1
+21	1	10713	10712	1
+22	1	10724	10723	1
+10	1	10925	10924	1
+9	1	10928	10927	1
+8	1	11403	11402	1
+25	1	12575	12574	1
+6	1	12817	12816	1

20260516_115328/trial_002/nxon2_117492643__MembraneDiag.txt

@@ -0,0 +1,1166 @@
+# Neuraxon Game of Life v4.82 — Membrane diagnostics
+# game_id=nxon2_117492643
+# rows=1161
+# sampled every 100 ticks, first 3 input neurons of first 3 alive NxErs each sample
+tick	nxer_id	neuron_id	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+100	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+100	0	1	-0.762550	0.174305	0.022857	0	0.153837	2	65.239965
+100	0	2	0.092883	0.252811	0.033800	0	0.195174	1	21.244777
+100	1	0	-0.208971	0.000000	0.000000	0	0.061182	49	108.562607
+100	1	1	-0.174412	0.092953	0.024637	-1	0.165708	2	4.819869
+100	1	2	-0.571736	0.053670	0.009826	0	0.099592	8	74.413361
+100	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+100	2	1	-0.271995	0.267365	0.033951	1	0.205692	1	10.343938
+100	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+200	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+200	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+200	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+200	1	0	0.392460	0.153838	0.014767	0	0.096644	7	90.121849
+200	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+200	1	2	0.155791	0.194104	0.031749	-1	0.169165	1	11.832478
+200	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+200	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+200	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+300	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+300	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+300	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+300	1	0	0.206107	0.162472	0.040091	0	0.174013	4	9.981541
+300	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+300	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+300	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+300	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+300	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+400	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+400	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+400	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+400	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+400	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+400	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+400	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+400	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+400	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+500	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+500	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+500	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+500	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+500	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+500	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+500	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+500	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+500	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+600	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+600	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+600	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+600	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+600	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+600	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+600	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+600	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+600	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+700	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+700	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+700	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+700	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+700	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+700	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+700	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+700	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+700	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+800	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+800	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+800	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+800	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+800	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+800	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+800	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+800	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+800	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+900	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+900	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+900	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+900	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+900	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+900	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+900	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+900	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+900	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+1000	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+1000	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+1000	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+1000	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+1000	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+1000	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+1000	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+1000	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+1000	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+1100	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+1100	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+1100	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+1100	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+1100	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+1100	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+1100	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+1100	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+1100	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+1200	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+1200	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+1200	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+1200	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+1200	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+1200	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+1200	2	0	-0.777757	0.261628	0.043340	-1	0.250015	1	0.000000
+1200	2	1	0.388669	0.252300	0.038556	1	0.215643	2	0.000000
+1200	2	2	0.324658	0.270851	0.029147	-1	0.195150	1	0.000000
+1300	0	0	0.335988	0.227696	0.027128	-1	0.188848	2	0.000000
+1300	0	1	-0.061284	0.306507	0.046889	-1	0.249503	4	0.000000
+1300	0	2	0.151252	0.264058	0.040684	-1	0.224538	3	0.000000
+1300	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
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+12400	3	1	-0.672702	0.204590	0.040590	-1	0.217034	4	0.000000
+12400	3	2	0.778303	0.210631	0.038899	1	0.198054	1	0.000000
+12400	4	0	-0.078217	0.256880	0.037051	-1	0.226388	3	0.000000
+12400	4	1	0.231406	0.316222	0.043578	-1	0.245072	3	0.000000
+12400	4	2	0.918715	0.204183	0.040059	1	0.210400	2	0.000000
+12500	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+12500	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+12500	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+12500	3	0	-0.877342	0.116686	0.031740	-1	0.176503	1	0.000000
+12500	3	1	-0.672702	0.204590	0.040590	-1	0.217034	4	0.000000
+12500	3	2	0.778303	0.210631	0.038899	1	0.198054	1	0.000000
+12500	4	0	-0.078217	0.256880	0.037051	-1	0.226388	3	0.000000
+12500	4	1	0.231406	0.316222	0.043578	-1	0.245072	3	0.000000
+12500	4	2	0.918715	0.204183	0.040059	1	0.210400	2	0.000000
+12600	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+12600	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+12600	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+12600	3	0	-0.877342	0.116686	0.031740	-1	0.176503	1	0.000000
+12600	3	1	-0.672702	0.204590	0.040590	-1	0.217034	4	0.000000
+12600	3	2	0.778303	0.210631	0.038899	1	0.198054	1	0.000000
+12600	4	0	-0.078217	0.256880	0.037051	-1	0.226388	3	0.000000
+12600	4	1	0.231406	0.316222	0.043578	-1	0.245072	3	0.000000
+12600	4	2	0.918715	0.204183	0.040059	1	0.210400	2	0.000000
+12700	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+12700	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+12700	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+12700	3	0	-0.877342	0.116686	0.031740	-1	0.176503	1	0.000000
+12700	3	1	-0.672702	0.204590	0.040590	-1	0.217034	4	0.000000
+12700	3	2	0.778303	0.210631	0.038899	1	0.198054	1	0.000000
+12700	4	0	-0.078217	0.256880	0.037051	-1	0.226388	3	0.000000
+12700	4	1	0.231406	0.316222	0.043578	-1	0.245072	3	0.000000
+12700	4	2	0.918715	0.204183	0.040059	1	0.210400	2	0.000000
+12800	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+12800	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+12800	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+12800	3	0	-0.877342	0.116686	0.031740	-1	0.176503	1	0.000000
+12800	3	1	-0.672702	0.204590	0.040590	-1	0.217034	4	0.000000
+12800	3	2	0.778303	0.210631	0.038899	1	0.198054	1	0.000000
+12800	4	0	-0.078217	0.256880	0.037051	-1	0.226388	3	0.000000
+12800	4	1	0.231406	0.316222	0.043578	-1	0.245072	3	0.000000
+12800	4	2	0.918715	0.204183	0.040059	1	0.210400	2	0.000000
+12900	1	0	-0.101978	0.166794	0.041627	-1	0.188735	2	0.000000
+12900	1	1	-0.177373	0.091294	0.027928	-1	0.162833	2	0.000000
+12900	1	2	0.117926	0.226569	0.037328	-1	0.188572	2	0.000000
+12900	3	0	-0.877342	0.116686	0.031740	-1	0.176503	1	0.000000
+12900	3	1	-0.672702	0.204590	0.040590	-1	0.217034	4	0.000000
+12900	3	2	0.778303	0.210631	0.038899	1	0.198054	1	0.000000
+12900	4	0	-0.078217	0.256880	0.037051	-1	0.226388	3	0.000000
+12900	4	1	0.231406	0.316222	0.043578	-1	0.245072	3	0.000000
+12900	4	2	0.918715	0.204183	0.040059	1	0.210400	2	0.000000

20260516_115328/trial_002__arch.json

@@ -0,0 +1,45 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 2,
+    "sampled_at": "2026-05-16T11:53:28"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 12.722802790043094,
+    "max_atrophy": 10.974574231690443,
+    "metabolic_rate_abs_cap_multiple": 43.5444786079067,
+    "idle_explore_seconds": 0.4570855210728063,
+    "explore_probability": 0.5809869729182362,
+    "mate_cooldown_seconds": 14,
+    "circadian_cycle_ticks": 1046
+  },
+  "neural": {
+    "num_hidden_neurons_default": 13,
+    "connection_probability": 0.1990207481285785,
+    "afferent_synapse_strength": 1.0553465301091773,
+    "firing_threshold_excitatory": 0.6968570051909786,
+    "spontaneous_firing_rate": 0.029485364713697934,
+    "intrinsic_timescale_default": 20.252894363042216,
+    "resting_potential_decay": 0.2711535627474686,
+    "sensorimotor_coupling": 2.5285557605694287,
+    "symmetric_stdp": false,
+    "refractory_period_ticks": 3,
+    "post_spike_mp_reset": 0.8218025940068083
+  },
+  "operating_ranges": {
+    "learning_rate": 0.0266953567709662,
+    "plasticity_threshold": 0.46046591480893156,
+    "autoreceptor_coefficient": 0.06323772104230946,
+    "adaptation_tau_ticks": 46.5254449674218
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 1.7010123524331249,
+    "firing_threshold_jitter": 0.07488468892384159,
+    "mutation_strength": 0.13500881000527132,
+    "metabolic_rate_multiplier_range": [
+      0.7985130180174758,
+      1.4448528488954369
+    ]
+  }
+}

20260516_115328/trial_003/nxon2_729357211__LifespanLog.txt

@@ -0,0 +1,42 @@
+# Neuraxon Game of Life v4.82 — Per-NxEr lifespan log
+# game_id=nxon2_729357211
+# rows=35 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=9
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+5	1	212	211	1
+19	1	280	279	1
+23	1	293	292	1
+3	1	356	355	1
+30	113	367	254	0
+8	1	370	369	1
+24	1	547	546	1
+33	615	858	243	0
+6	1	1107	1106	1
+12	1	1355	1354	1
+27	1	1797	1796	1
+7	1	1934	1933	1
+1	1	2078	2077	1
+2	1	2391	2390	1
+36	1720	2607	887	0
+29	1	2627	2626	1
+34	805	2714	1909	0
+0	1	3143	3142	1
+18	1	3427	3426	1
+37	1920	3711	1791	0
+39	2575	3818	1243	0
+41	3224	4068	844	0
+40	2907	4075	1168	0
+4	1	4148	4147	1
+38	2277	5675	3398	0
+28	1	5837	5836	1
+44	5668	6325	657	0
+25	1	7176	7175	1
+43	5447	8532	3085	0
+21	1	10741	10740	1
+22	1	11772	11771	1
+42	3250	13335	10085	0
+20	1	13755	13754	1
+47	12993	14048	1055	0
+46	10518	14154	3636	0

20260516_115328/trial_003/nxon2_729357211__MembraneDiag.txt

@@ -0,0 +1,1337 @@
+# Neuraxon Game of Life v4.82 — Membrane diagnostics
+# game_id=nxon2_729357211
+# rows=1332
+# sampled every 100 ticks, first 3 input neurons of first 3 alive NxErs each sample
+tick	nxer_id	neuron_id	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+100	0	0	0.326378	0.193238	0.036040	0	0.203576	4	22.637056
+100	0	1	0.202902	0.098439	0.016300	0	0.126088	9	69.224712
+100	0	2	0.897775	0.124568	0.014427	1	0.129024	2	91.698115
+100	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+100	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+100	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+100	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+100	2	1	-0.906452	0.309891	0.038991	0	0.217742	1	16.271254
+100	2	2	0.117369	0.394752	0.043775	1	0.247960	3	6.460710
+200	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+200	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+200	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+200	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+200	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+200	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+200	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+200	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+200	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+300	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+300	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+300	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+300	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+300	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+300	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+300	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+300	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+300	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+400	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+400	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+400	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+400	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+400	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+400	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+400	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+400	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+400	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+500	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+500	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+500	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+500	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+500	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+500	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+500	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+500	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+500	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+600	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+600	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+600	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+600	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+600	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+600	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+600	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+600	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+600	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+700	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+700	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+700	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+700	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+700	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+700	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+700	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+700	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+700	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+800	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+800	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+800	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+800	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+800	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+800	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+800	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+800	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+800	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+900	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+900	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+900	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+900	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+900	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+900	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+900	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+900	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+900	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+1000	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+1000	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+1000	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+1000	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+1000	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+1000	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+1000	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+1000	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+1000	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+1100	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+1100	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+1100	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+1100	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+1100	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+1100	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+1100	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+1100	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+1100	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+1200	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+1200	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+1200	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+1200	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
+1200	1	1	0.150856	0.302839	0.037749	-1	0.231720	5	0.000000
+1200	1	2	-1.367129	0.270695	0.038946	-1	0.232780	1	0.000000
+1200	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
+1200	2	1	-0.006092	0.287476	0.044025	-1	0.241615	1	0.000000
+1200	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
+1300	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
+1300	0	1	-1.765128	0.285946	0.045388	-1	0.234676	2	0.000000
+1300	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	0.000000
+1300	1	0	-1.006784	0.269845	0.031744	-1	0.212300	1	0.000000
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20260516_115328/trial_003__arch.json

@@ -0,0 +1,45 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 3,
+    "sampled_at": "2026-05-16T11:53:28"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 12.285629923206788,
+    "max_atrophy": 3.4287664709678456,
+    "metabolic_rate_abs_cap_multiple": 15.260776615326328,
+    "idle_explore_seconds": 1.9389757606015345,
+    "explore_probability": 0.5233863738003743,
+    "mate_cooldown_seconds": 17,
+    "circadian_cycle_ticks": 898
+  },
+  "neural": {
+    "num_hidden_neurons_default": 19,
+    "connection_probability": 0.41934686508074315,
+    "afferent_synapse_strength": 1.0792806061684768,
+    "firing_threshold_excitatory": 0.465796227747185,
+    "spontaneous_firing_rate": 0.07945568383620674,
+    "intrinsic_timescale_default": 19.20957846088222,
+    "resting_potential_decay": 0.12272735304344848,
+    "sensorimotor_coupling": 0.1413491262742037,
+    "symmetric_stdp": false,
+    "refractory_period_ticks": 2,
+    "post_spike_mp_reset": 0.62744604170309
+  },
+  "operating_ranges": {
+    "learning_rate": 0.02560409495530118,
+    "plasticity_threshold": 0.4688639867198736,
+    "autoreceptor_coefficient": 0.06270554123039143,
+    "adaptation_tau_ticks": 25.26477146026147
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 7.768627020908945,
+    "firing_threshold_jitter": 0.1291169553351747,
+    "mutation_strength": 0.021492532852566554,
+    "metabolic_rate_multiplier_range": [
+      0.9486424830840339,
+      1.3410128898045255
+    ]
+  }
+}