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20260516_145757/nas_best.json

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+{
+  "_meta": {
+    "name": "nas_best_t011",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 11, fitness 6.5985. 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": 11,
+    "fitness": 6.59852525683927,
+    "saved_at": "2026-05-16T15:58:05",
+    "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": 13.481794994220767,
+    "_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": 4.248563716420614,
+    "_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": 40.980373862024145,
+    "_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": 20,
+    "circadian_cycle_ticks": 1166,
+    "idle_explore_seconds": 0.8807645835869007,
+    "explore_probability": 0.493119111289626,
+    "_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": 7,
+    "_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": 0.17768954031382003,
+    "afferent_synapse_strength": 1.1082909270764718,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.4830040671916755,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.005049396090069643,
+    "intrinsic_timescale_default": 24.964622906431796,
+    "resting_potential_decay": 0.2592783443253449,
+    "sensorimotor_coupling": 0.7858657873030446,
+    "_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": 8,
+    "_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": 0.7056674467599907,
+    "_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": 0.012165897218264051,
+    "plasticity_threshold": 0.344749552235734,
+    "adaptation_tau_ticks": 37.64078495023506,
+    "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": 0.2390101878093278,
+    "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": [
+      0.6521689999174818,
+      1.0698154759334568
+    ],
+    "_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": 2.953727876097534,
+    "_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": 0.08287876451174964,
+    "_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": 0.07587227267450034,
+    "_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_145757/nas_log.csv

@@ -0,0 +1,63 @@
+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
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+0,2026-05-16T15:58:01,5.9233,22.0,26.0,24.0,25.0,24.0,23.75,0.2078,0.0609,0.9765,0.2441,0.5171,6.19,7.62,0.9983,0.4178,0.0963,0.0105,1.0000,0.0196,9092,3603.1,,"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
+4,2026-05-16T15:58:01,4.3003,19.0,28.0,25.0,22.0,21.0,21.75,0.2709,0.0688,0.9194,0.0000,0.0000,2.00,2.00,1.0000,0.4056,0.0861,0.0000,0.0000,0.0000,9326,3603.2,,"metabolic_ramp_per_sec=13.532 max_atrophy=10.703 metabolic_rate_abs_cap_multiple=35.922 idle_explore_seconds=0.88702 explore_probability=0.58458 mate_cooldown_seconds=7 circadian_cycle_ticks=600 num_hidden_neurons_default=19 connection_probability=0.19745 afferent_synapse_strength=0.60389 firing_threshold_excitatory=0.61663 spontaneous_firing_rate=0.03677 intrinsic_timescale_default=29.382 resting_potential_decay=0.29049 sensorimotor_coupling=1.523 symmetric_stdp=False refractory_period_ticks=10 post_spike_mp_reset=0.29844 learning_rate=0.01564 plasticity_threshold=0.54359 autoreceptor_coefficient=0.08057 adaptation_tau_ticks=40.5 intrinsic_timescale_jitter=4.243 firing_threshold_jitter=9e-05 mutation_strength=0.06214 metabolic_rate_multiplier_range=[0.788782660541869, 1.478244563246807]",0
+7,2026-05-16T15:58:01,4.3075,17.0,26.0,22.0,19.0,18.0,19.00,0.3236,0.0813,0.9812,-0.3600,0.4299,1.98,2.01,1.0000,0.3943,0.0686,0.0000,0.0000,0.0000,9137,3603.2,,"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
+8,2026-05-16T15:58:01,4.8681,17.0,22.0,22.0,20.0,17.0,19.00,0.2851,0.0596,1.1528,-0.0211,0.2045,1.97,2.03,1.0000,0.3966,0.0688,0.0000,0.0000,0.0000,9559,3603.2,,"metabolic_ramp_per_sec=14.057 max_atrophy=4.691 metabolic_rate_abs_cap_multiple=29.134 idle_explore_seconds=1.359 explore_probability=0.71879 mate_cooldown_seconds=20 circadian_cycle_ticks=360 num_hidden_neurons_default=11 connection_probability=0.26369 afferent_synapse_strength=1.782 firing_threshold_excitatory=0.47956 spontaneous_firing_rate=0.04396 intrinsic_timescale_default=18.01 resting_potential_decay=0.20575 sensorimotor_coupling=2.872 symmetric_stdp=True refractory_period_ticks=2 post_spike_mp_reset=0.1899 learning_rate=0.00403 plasticity_threshold=0.32339 autoreceptor_coefficient=0.19715 adaptation_tau_ticks=12.438 intrinsic_timescale_jitter=3.814 firing_threshold_jitter=0.13791 mutation_strength=0.08905 metabolic_rate_multiplier_range=[0.7097616834194052, 1.0775782854951745]",0
+16,2026-05-16T15:58:01,5.3998,22.0,31.0,28.0,25.0,22.0,24.25,0.1873,0.0996,1.0012,0.0581,0.6152,2.11,2.11,1.0000,0.3967,0.0737,0.0000,0.0000,0.0000,9646,3603.2,,"metabolic_ramp_per_sec=15.095 max_atrophy=11.64 metabolic_rate_abs_cap_multiple=42.985 idle_explore_seconds=0.79421 explore_probability=0.31948 mate_cooldown_seconds=6 circadian_cycle_ticks=347 num_hidden_neurons_default=13 connection_probability=0.44518 afferent_synapse_strength=1.334 firing_threshold_excitatory=0.63055 spontaneous_firing_rate=0.01767 intrinsic_timescale_default=27.495 resting_potential_decay=0.24392 sensorimotor_coupling=2.155 symmetric_stdp=True refractory_period_ticks=7 post_spike_mp_reset=0.39965 learning_rate=0.00322 plasticity_threshold=0.57505 autoreceptor_coefficient=0.22853 adaptation_tau_ticks=44.418 intrinsic_timescale_jitter=1.751 firing_threshold_jitter=0.12062 mutation_strength=0.11047 metabolic_rate_multiplier_range=[0.909912821928453, 1.4781312237220288]",0
+2,2026-05-16T15:58:01,4.5563,7.0,28.0,22.0,20.0,13.0,15.50,0.2166,0.0276,0.9444,-0.0562,0.2435,2.08,2.05,1.0000,0.4279,0.1378,0.0000,0.9949,0.0060,9825,3603.3,,"metabolic_ramp_per_sec=12.723 max_atrophy=10.975 metabolic_rate_abs_cap_multiple=43.544 idle_explore_seconds=0.45709 explore_probability=0.58099 mate_cooldown_seconds=14 circadian_cycle_ticks=1046 num_hidden_neurons_default=13 connection_probability=0.19902 afferent_synapse_strength=1.055 firing_threshold_excitatory=0.69686 spontaneous_firing_rate=0.02949 intrinsic_timescale_default=20.253 resting_potential_decay=0.27115 sensorimotor_coupling=2.529 symmetric_stdp=False refractory_period_ticks=3 post_spike_mp_reset=0.8218 learning_rate=0.0267 plasticity_threshold=0.46047 autoreceptor_coefficient=0.06324 adaptation_tau_ticks=46.525 intrinsic_timescale_jitter=1.701 firing_threshold_jitter=0.07488 mutation_strength=0.13501 metabolic_rate_multiplier_range=[0.7985130180174758, 1.4448528488954369]",0
+1,2026-05-16T15:58:01,4.6949,20.0,25.0,22.0,21.0,20.0,20.75,0.2423,0.0483,1.0290,-0.3607,0.3632,22.66,7.68,1.0000,0.3897,0.0558,0.0000,0.0000,0.0000,9018,3603.3,,"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
+6,2026-05-16T15:58:01,4.8935,1.0,1.0,1.0,1.0,1.0,1.00,0.1538,0.0000,0.9790,0.2877,0.2877,2.54,2.54,1.0000,0.2004,0.0530,0.0000,0.0000,0.0000,9055,3603.4,,"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
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+15,2026-05-16T15:58:01,5.4485,15.0,24.0,18.0,17.0,15.0,16.25,0.2410,0.0271,1.0692,-0.3027,0.5736,2.10,4.03,1.0000,0.3908,0.0460,0.0000,0.9018,0.1441,9145,3603.4,,"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]",0
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+58,2026-05-16T16:58:09,5.1046,16.0,26.0,23.0,18.0,16.0,18.25,0.2488,0.0483,0.9926,-0.1649,0.3520,1.95,3.20,1.0000,0.3901,0.0543,0.0000,0.6814,0.0533,9155,3606.2,,"metabolic_ramp_per_sec=4.666 max_atrophy=7.493 metabolic_rate_abs_cap_multiple=31.251 idle_explore_seconds=1.899 explore_probability=0.74696 mate_cooldown_seconds=15 circadian_cycle_ticks=745 num_hidden_neurons_default=14 connection_probability=0.34184 afferent_synapse_strength=1.55 firing_threshold_excitatory=0.41721 spontaneous_firing_rate=0.03215 intrinsic_timescale_default=16.937 resting_potential_decay=0.22827 sensorimotor_coupling=2.25 symmetric_stdp=False refractory_period_ticks=0 post_spike_mp_reset=0.14278 learning_rate=0.01414 plasticity_threshold=0.61252 autoreceptor_coefficient=0.05696 adaptation_tau_ticks=12.689 intrinsic_timescale_jitter=3.063 firing_threshold_jitter=0.08509 mutation_strength=0.09866 metabolic_rate_multiplier_range=[0.8724803807274029, 1.2514806602089317]",0
+59,2026-05-16T16:58:09,5.8806,21.0,31.0,27.0,25.0,23.0,24.00,0.2680,0.0910,0.9037,0.5157,0.8958,24.21,2.26,0.9905,0.3879,0.0492,0.0092,0.8171,0.0887,9008,3606.6,,"metabolic_ramp_per_sec=12.865 max_atrophy=14.309 metabolic_rate_abs_cap_multiple=27.345 idle_explore_seconds=1.979 explore_probability=0.54435 mate_cooldown_seconds=14 circadian_cycle_ticks=675 num_hidden_neurons_default=18 connection_probability=0.24432 afferent_synapse_strength=0.93443 firing_threshold_excitatory=0.68816 spontaneous_firing_rate=0.00537 intrinsic_timescale_default=12.093 resting_potential_decay=0.22944 sensorimotor_coupling=2.741 symmetric_stdp=False refractory_period_ticks=4 post_spike_mp_reset=0.77496 learning_rate=0.01929 plasticity_threshold=0.38583 autoreceptor_coefficient=0.17238 adaptation_tau_ticks=37.759 intrinsic_timescale_jitter=1.086 firing_threshold_jitter=0.01111 mutation_strength=0.04245 metabolic_rate_multiplier_range=[0.9495200952285533, 1.1600980875451161]",0
+34,2026-05-16T16:58:09,6.2225,14.0,30.0,28.0,26.0,17.0,21.25,0.2629,0.3868,1.0508,-0.1232,0.9907,2.69,2.25,0.8951,0.5195,0.0232,0.0267,1.0000,0.2101,9072,3608.2,,"metabolic_ramp_per_sec=15.933 max_atrophy=9.866 metabolic_rate_abs_cap_multiple=20.523 idle_explore_seconds=2.308 explore_probability=0.28587 mate_cooldown_seconds=13 circadian_cycle_ticks=953 num_hidden_neurons_default=14 connection_probability=0.28787 afferent_synapse_strength=1.4 firing_threshold_excitatory=0.66967 spontaneous_firing_rate=0.01816 intrinsic_timescale_default=14.328 resting_potential_decay=0.23665 sensorimotor_coupling=0.22159 symmetric_stdp=True refractory_period_ticks=9 post_spike_mp_reset=0.29915 learning_rate=0.04425 plasticity_threshold=0.57613 autoreceptor_coefficient=0.14137 adaptation_tau_ticks=22.085 intrinsic_timescale_jitter=0.85323 firing_threshold_jitter=0.0572 mutation_strength=0.06666 metabolic_rate_multiplier_range=[0.9497807479250626, 1.5193345022631022]",0
+56,2026-05-16T16:58:09,3.9562,20.0,30.0,27.0,23.0,21.0,22.75,0.2802,0.0991,1.0466,0.0000,0.0000,38.62,2.29,1.0000,0.3960,0.0700,0.0000,0.0728,0.0029,9876,3606.7,,"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=1.174 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
+60,2026-05-16T16:58:09,4.9804,16.0,28.0,21.0,20.0,18.0,18.75,0.1996,0.0457,0.9778,0.1946,0.2840,1.93,1.95,0.9809,0.3877,0.0438,0.0448,0.9901,0.1444,9339,3606.4,,"metabolic_ramp_per_sec=13.414 max_atrophy=14.963 metabolic_rate_abs_cap_multiple=50.147 idle_explore_seconds=2.429 explore_probability=0.79194 mate_cooldown_seconds=16 circadian_cycle_ticks=655 num_hidden_neurons_default=8 connection_probability=0.315 afferent_synapse_strength=0.94843 firing_threshold_excitatory=0.48999 spontaneous_firing_rate=0.00774 intrinsic_timescale_default=23.61 resting_potential_decay=0.27505 sensorimotor_coupling=0.52227 symmetric_stdp=True refractory_period_ticks=8 post_spike_mp_reset=0.22424 learning_rate=0.04766 plasticity_threshold=0.61683 autoreceptor_coefficient=0.09735 adaptation_tau_ticks=29.761 intrinsic_timescale_jitter=3.739 firing_threshold_jitter=0.14745 mutation_strength=0.03687 metabolic_rate_multiplier_range=[0.7263137835555338, 1.3647525739140893]",0
+53,2026-05-16T16:58:09,5.5115,18.0,31.0,28.0,30.0,24.0,25.00,0.3043,0.0989,1.0146,-0.2712,0.7738,9.95,2.16,0.9999,0.4220,0.0421,0.0000,1.0000,0.0647,9783,3607.4,,"metabolic_ramp_per_sec=7.939 max_atrophy=14.113 metabolic_rate_abs_cap_multiple=44.993 idle_explore_seconds=1.435 explore_probability=0.27481 mate_cooldown_seconds=7 circadian_cycle_ticks=1081 num_hidden_neurons_default=11 connection_probability=0.23184 afferent_synapse_strength=1.686 firing_threshold_excitatory=0.4442 spontaneous_firing_rate=0.01682 intrinsic_timescale_default=28.821 resting_potential_decay=0.15551 sensorimotor_coupling=1.353 symmetric_stdp=True refractory_period_ticks=0 post_spike_mp_reset=0.4149 learning_rate=0.00717 plasticity_threshold=0.44958 autoreceptor_coefficient=0.12723 adaptation_tau_ticks=13.264 intrinsic_timescale_jitter=0.79266 firing_threshold_jitter=0.10721 mutation_strength=0.06359 metabolic_rate_multiplier_range=[0.6785885655124906, 1.2252766814973524]",0
+55,2026-05-16T16:58:10,4.3011,11.0,25.0,21.0,15.0,14.0,15.25,0.3383,0.0673,0.9413,-0.1739,0.2850,2.17,2.29,1.0000,0.3948,0.0489,0.0000,0.7734,0.0308,9359,3607.0,,"metabolic_ramp_per_sec=12.111 max_atrophy=9.263 metabolic_rate_abs_cap_multiple=45.364 idle_explore_seconds=0.9408 explore_probability=0.20094 mate_cooldown_seconds=11 circadian_cycle_ticks=546 num_hidden_neurons_default=24 connection_probability=0.27497 afferent_synapse_strength=1.397 firing_threshold_excitatory=0.42568 spontaneous_firing_rate=0.07457 intrinsic_timescale_default=9.489 resting_potential_decay=0.23151 sensorimotor_coupling=1.522 symmetric_stdp=False refractory_period_ticks=6 post_spike_mp_reset=0.87333 learning_rate=0.0023 plasticity_threshold=0.45475 autoreceptor_coefficient=0.12466 adaptation_tau_ticks=39.893 intrinsic_timescale_jitter=1.929 firing_threshold_jitter=0.09857 mutation_strength=0.03348 metabolic_rate_multiplier_range=[0.7249828567801565, 1.0871577567580444]",0
+45,2026-05-16T16:58:10,5.8086,17.0,35.0,30.0,24.0,20.0,22.75,0.2499,0.0815,1.0646,0.3421,0.7092,2.01,2.02,0.9928,0.4657,0.0457,-0.0047,1.0000,0.0335,9469,3608.1,,"metabolic_ramp_per_sec=6.354 max_atrophy=10.436 metabolic_rate_abs_cap_multiple=33.254 idle_explore_seconds=1.272 explore_probability=0.3639 mate_cooldown_seconds=18 circadian_cycle_ticks=824 num_hidden_neurons_default=9 connection_probability=0.25355 afferent_synapse_strength=0.73307 firing_threshold_excitatory=0.60347 spontaneous_firing_rate=0.02589 intrinsic_timescale_default=19.593 resting_potential_decay=0.1771 sensorimotor_coupling=0.66156 symmetric_stdp=False refractory_period_ticks=0 post_spike_mp_reset=0.20442 learning_rate=0.04193 plasticity_threshold=0.60694 autoreceptor_coefficient=0.20283 adaptation_tau_ticks=21.578 intrinsic_timescale_jitter=3.445 firing_threshold_jitter=0.01938 mutation_strength=0.08924 metabolic_rate_multiplier_range=[0.6419945202969422, 1.3235619307373299]",0
+57,2026-05-16T16:58:10,4.8635,19.0,33.0,29.0,21.0,20.0,22.25,0.3204,0.0920,0.9820,-0.5770,0.5901,16.44,2.30,1.0000,0.4021,0.0845,0.0000,0.9272,0.0618,9864,3607.3,,"metabolic_ramp_per_sec=15.794 max_atrophy=2.145 metabolic_rate_abs_cap_multiple=42.098 idle_explore_seconds=0.90108 explore_probability=0.67961 mate_cooldown_seconds=12 circadian_cycle_ticks=709 num_hidden_neurons_default=20 connection_probability=0.41839 afferent_synapse_strength=1.064 firing_threshold_excitatory=0.69212 spontaneous_firing_rate=0.01979 intrinsic_timescale_default=18.946 resting_potential_decay=0.33108 sensorimotor_coupling=1.558 symmetric_stdp=False refractory_period_ticks=11 post_spike_mp_reset=0.4245 learning_rate=0.008 plasticity_threshold=0.69804 autoreceptor_coefficient=0.08609 adaptation_tau_ticks=21.751 intrinsic_timescale_jitter=2.365 firing_threshold_jitter=0.06689 mutation_strength=0.1133 metabolic_rate_multiplier_range=[0.63590926772374, 1.2303559479378579]",0
+61,2026-05-16T16:58:12,4.8115,15.0,23.0,19.0,15.0,15.0,16.00,0.2103,0.1047,0.9557,-0.4122,0.5050,2.19,2.14,1.0000,0.4023,0.0438,0.0000,0.0000,0.0000,9089,3606.8,,"metabolic_ramp_per_sec=16.148 max_atrophy=2.388 metabolic_rate_abs_cap_multiple=28.704 idle_explore_seconds=1.877 explore_probability=0.4872 mate_cooldown_seconds=12 circadian_cycle_ticks=1087 num_hidden_neurons_default=19 connection_probability=0.397 afferent_synapse_strength=0.6885 firing_threshold_excitatory=0.69171 spontaneous_firing_rate=0.02968 intrinsic_timescale_default=17.899 resting_potential_decay=0.27003 sensorimotor_coupling=1.034 symmetric_stdp=False refractory_period_ticks=12 post_spike_mp_reset=0.96626 learning_rate=0.00805 plasticity_threshold=0.66428 autoreceptor_coefficient=0.06108 adaptation_tau_ticks=14.966 intrinsic_timescale_jitter=2.581 firing_threshold_jitter=0.1064 mutation_strength=0.06498 metabolic_rate_multiplier_range=[0.6535554133835701, 1.1405613939395682]",0

20260516_145757/nas_top1.json

@@ -0,0 +1,149 @@
+{
+  "_meta": {
+    "name": "nas_best_t011",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 11, fitness 6.5985. 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": 11,
+    "fitness": 6.59852525683927,
+    "saved_at": "2026-05-16T16:58:12",
+    "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": 13.481794994220767,
+    "_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": 4.248563716420614,
+    "_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": 40.980373862024145,
+    "_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": 20,
+    "circadian_cycle_ticks": 1166,
+    "idle_explore_seconds": 0.8807645835869007,
+    "explore_probability": 0.493119111289626,
+    "_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": 7,
+    "_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": 0.17768954031382003,
+    "afferent_synapse_strength": 1.1082909270764718,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.4830040671916755,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.005049396090069643,
+    "intrinsic_timescale_default": 24.964622906431796,
+    "resting_potential_decay": 0.2592783443253449,
+    "sensorimotor_coupling": 0.7858657873030446,
+    "_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": 8,
+    "_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": 0.7056674467599907,
+    "_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": 0.012165897218264051,
+    "plasticity_threshold": 0.344749552235734,
+    "adaptation_tau_ticks": 37.64078495023506,
+    "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": 0.2390101878093278,
+    "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": [
+      0.6521689999174818,
+      1.0698154759334568
+    ],
+    "_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": 2.953727876097534,
+    "_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": 0.08287876451174964,
+    "_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": 0.07587227267450034,
+    "_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_145757/nas_top2.json

@@ -0,0 +1,149 @@
+{
+  "_meta": {
+    "name": "nas_best_t014",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 14, fitness 6.5570. 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": 14,
+    "fitness": 6.556962692619049,
+    "saved_at": "2026-05-16T16:58:12",
+    "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": 6.247461800367498,
+    "_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": 2.9634343873985998,
+    "_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": 30.597315445361506,
+    "_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": 15,
+    "circadian_cycle_ticks": 823,
+    "idle_explore_seconds": 1.9027991334359495,
+    "explore_probability": 0.38820638851699474,
+    "_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": 9,
+    "_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": 0.2655586300034182,
+    "afferent_synapse_strength": 1.2919056521959196,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.4764167518415746,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.03568063115518342,
+    "intrinsic_timescale_default": 8.037208120809849,
+    "resting_potential_decay": 0.33139379137477065,
+    "sensorimotor_coupling": 1.6153559912783757,
+    "_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": 5,
+    "_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": 0.4312973996249869,
+    "_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": 0.04241305960171956,
+    "plasticity_threshold": 0.668308342487216,
+    "adaptation_tau_ticks": 36.53549905062177,
+    "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": 0.17463108198928184,
+    "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": [
+      0.6436188604825287,
+      1.5450257593034005
+    ],
+    "_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": 4.056980032282153,
+    "_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": 0.10003393561585945,
+    "_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": 0.06240377763146199,
+    "_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_145757/nas_top3.json

@@ -0,0 +1,149 @@
+{
+  "_meta": {
+    "name": "nas_best_t047",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 47, fitness 6.5311. 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": 47,
+    "fitness": 6.531131683216417,
+    "saved_at": "2026-05-16T16:58:12",
+    "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": 10.383400688010106,
+    "_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": 6.842850407600995,
+    "_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": 24.134277215464788,
+    "_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": 8,
+    "circadian_cycle_ticks": 378,
+    "idle_explore_seconds": 1.0469292185266206,
+    "explore_probability": 0.3998411734958792,
+    "_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": 22,
+    "_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": 0.33996740009045595,
+    "afferent_synapse_strength": 1.236725784927178,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.4581711118800701,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.04301717897440303,
+    "intrinsic_timescale_default": 15.724194169061931,
+    "resting_potential_decay": 0.33955583724928756,
+    "sensorimotor_coupling": 1.9363289285086913,
+    "_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": 3,
+    "_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": 0.10280452777776283,
+    "_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": 0.004558880560617684,
+    "plasticity_threshold": 0.3693996089768379,
+    "adaptation_tau_ticks": 40.366095201822816,
+    "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": 0.08057395780118598,
+    "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": [
+      0.6263736457526768,
+      1.5732106773187702
+    ],
+    "_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": 5.023590176946939,
+    "_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": 0.06959296027695293,
+    "_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": 0.09328561282742046,
+    "_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_145757/trial_000/nxon2_430391171__LifespanLog.txt

@@ -0,0 +1,25 @@
+# Neuraxon Game of Life v4.83 — Per-NxEr lifespan log
+# game_id=nxon2_430391171
+# rows=18 (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
+19	1	516	515	1
+6	1	928	927	1
+32	876	960	84	0
+1	1	1185	1184	1
+23	1	1456	1455	1
+0	1	1498	1497	1
+30	164	1636	1472	0
+26	1	1997	1996	1
+8	1	2192	2191	1
+33	885	2338	1453	0
+10	1	2485	2484	1
+31	250	3562	3312	0
+2	1	4057	4056	1
+3	1	7541	7540	1
+38	7498	8706	1208	0
+37	6798	9280	2482	0
+17	1	10800	10799	1
+21	1	11445	11444	1

20260516_145757/trial_000/nxon2_430391171__MembraneDiag.txt

@@ -0,0 +1,1085 @@
+# Neuraxon Game of Life v4.83 — Membrane diagnostics
+# game_id=nxon2_430391171
+# rows=1080
+# 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
+200	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+300	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+300	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+300	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+300	1	0	0.025108	0.216912	0.035899	-1	0.209903	1	0.000000
+300	1	1	-1.167630	0.219208	0.034481	-1	0.197415	3	0.000000
+300	1	2	0.135793	0.255545	0.059880	-1	0.258036	1	0.000000
+300	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+300	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+300	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+400	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+400	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+400	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+400	1	0	0.025108	0.216912	0.035899	-1	0.209903	1	0.000000
+400	1	1	-1.167630	0.219208	0.034481	-1	0.197415	3	0.000000
+400	1	2	0.135793	0.255545	0.059880	-1	0.258036	1	0.000000
+400	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+400	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+400	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+500	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+500	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+500	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+500	1	0	0.025108	0.216912	0.035899	-1	0.209903	1	0.000000
+500	1	1	-1.167630	0.219208	0.034481	-1	0.197415	3	0.000000
+500	1	2	0.135793	0.255545	0.059880	-1	0.258036	1	0.000000
+500	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+500	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+500	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+600	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+600	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+600	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+600	1	0	0.025108	0.216912	0.035899	-1	0.209903	1	0.000000
+600	1	1	-1.167630	0.219208	0.034481	-1	0.197415	3	0.000000
+600	1	2	0.135793	0.255545	0.059880	-1	0.258036	1	0.000000
+600	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+600	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+600	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+700	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+700	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+700	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+700	1	0	0.025108	0.216912	0.035899	-1	0.209903	1	0.000000
+700	1	1	-1.167630	0.219208	0.034481	-1	0.197415	3	0.000000
+700	1	2	0.135793	0.255545	0.059880	-1	0.258036	1	0.000000
+700	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+700	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+700	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+800	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+800	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+800	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+800	1	0	0.025108	0.216912	0.035899	-1	0.209903	1	0.000000
+800	1	1	-1.167630	0.219208	0.034481	-1	0.197415	3	0.000000
+800	1	2	0.135793	0.255545	0.059880	-1	0.258036	1	0.000000
+800	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+800	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+800	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+900	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+900	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+900	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+900	1	0	0.025108	0.216912	0.035899	-1	0.209903	1	0.000000
+900	1	1	-1.167630	0.219208	0.034481	-1	0.197415	3	0.000000
+900	1	2	0.135793	0.255545	0.059880	-1	0.258036	1	0.000000
+900	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+900	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+900	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+1000	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+1000	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+1000	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+1000	1	0	0.025108	0.216912	0.035899	-1	0.209903	1	0.000000
+1000	1	1	-1.167630	0.219208	0.034481	-1	0.197415	3	0.000000
+1000	1	2	0.135793	0.255545	0.059880	-1	0.258036	1	0.000000
+1000	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+1000	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+1000	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+1100	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+1100	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+1100	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+1100	1	0	0.025108	0.216912	0.035899	-1	0.209903	1	0.000000
+1100	1	1	-1.167630	0.219208	0.034481	-1	0.197415	3	0.000000
+1100	1	2	0.135793	0.255545	0.059880	-1	0.258036	1	0.000000
+1100	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+1100	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+1100	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+1200	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+1200	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+1200	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+1200	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+1200	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+1200	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+1200	3	0	-0.693249	0.179559	0.026764	-1	0.186720	1	0.000000
+1200	3	1	-0.849423	0.351646	0.057050	-1	0.291626	2	0.000000
+1200	3	2	-1.125621	0.244254	0.036350	-1	0.217648	4	0.000000
+1300	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+1300	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+1300	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+1300	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+1300	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+1300	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+1300	3	0	-0.693249	0.179559	0.026764	-1	0.186720	1	0.000000
+1300	3	1	-0.849423	0.351646	0.057050	-1	0.291626	2	0.000000
+1300	3	2	-1.125621	0.244254	0.036350	-1	0.217648	4	0.000000
+1400	0	0	-0.170507	0.245767	0.038326	1	0.220122	1	0.000000
+1400	0	1	-0.528367	0.247229	0.042947	-1	0.228867	1	0.000000
+1400	0	2	-0.790439	0.273716	0.043089	-1	0.234788	3	0.000000
+1400	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
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+1400	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+1400	3	0	-0.693249	0.179559	0.026764	-1	0.186720	1	0.000000
+1400	3	1	-0.849423	0.351646	0.057050	-1	0.291626	2	0.000000
+1400	3	2	-1.125621	0.244254	0.036350	-1	0.217648	4	0.000000
+1500	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+1500	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+1500	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+1500	3	0	-0.693249	0.179559	0.026764	-1	0.186720	1	0.000000
+1500	3	1	-0.849423	0.351646	0.057050	-1	0.291626	2	0.000000
+1500	3	2	-1.125621	0.244254	0.036350	-1	0.217648	4	0.000000
+1500	4	0	0.073889	0.387963	0.043230	1	0.243895	7	0.000000
+1500	4	1	0.334034	0.188802	0.047916	-1	0.240270	1	0.000000
+1500	4	2	0.210171	0.282955	0.045413	-1	0.256464	1	0.000000
+1600	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
+1600	2	1	0.334636	0.252550	0.030883	-1	0.193135	2	0.000000
+1600	2	2	-0.914487	0.276823	0.034727	-1	0.206483	1	0.000000
+1600	3	0	-0.693249	0.179559	0.026764	-1	0.186720	1	0.000000
+1600	3	1	-0.849423	0.351646	0.057050	-1	0.291626	2	0.000000
+1600	3	2	-1.125621	0.244254	0.036350	-1	0.217648	4	0.000000
+1600	4	0	0.073889	0.387963	0.043230	1	0.243895	7	0.000000
+1600	4	1	0.334034	0.188802	0.047916	-1	0.240270	1	0.000000
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+1700	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
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+1700	3	0	-0.693249	0.179559	0.026764	-1	0.186720	1	0.000000
+1700	3	1	-0.849423	0.351646	0.057050	-1	0.291626	2	0.000000
+1700	3	2	-1.125621	0.244254	0.036350	-1	0.217648	4	0.000000
+1700	4	0	0.073889	0.387963	0.043230	1	0.243895	7	0.000000
+1700	4	1	0.334034	0.188802	0.047916	-1	0.240270	1	0.000000
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+1800	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
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+1800	3	0	-0.693249	0.179559	0.026764	-1	0.186720	1	0.000000
+1800	3	1	-0.849423	0.351646	0.057050	-1	0.291626	2	0.000000
+1800	3	2	-1.125621	0.244254	0.036350	-1	0.217648	4	0.000000
+1800	4	0	0.073889	0.387963	0.043230	1	0.243895	7	0.000000
+1800	4	1	0.334034	0.188802	0.047916	-1	0.240270	1	0.000000
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+1900	2	0	-0.079496	0.251496	0.041602	-1	0.230355	1	0.000000
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+1900	3	0	-0.693249	0.179559	0.026764	-1	0.186720	1	0.000000
+1900	3	1	-0.849423	0.351646	0.057050	-1	0.291626	2	0.000000
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+1900	4	0	0.073889	0.387963	0.043230	1	0.243895	7	0.000000
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20260516_145757/trial_000__arch.json

@@ -0,0 +1,45 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-16T14:57:57"
+  },
+  "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_145757/trial_001/nxon2_024722855__LifespanLog.txt

@@ -0,0 +1,24 @@
+# Neuraxon Game of Life v4.83 — Per-NxEr lifespan log
+# game_id=nxon2_024722855
+# rows=17 (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
+17	1	1038	1037	1
+26	1	1234	1233	1
+6	1	1565	1564	1
+18	1	1605	1604	1
+4	1	2508	2507	1
+27	1	2603	2602	1
+1	1	2682	2681	1
+35	2480	2943	463	0
+30	801	3078	2277	0
+33	1856	3270	1414	0
+31	920	4050	3130	0
+34	2076	4980	2904	0
+7	1	4984	4983	1
+21	1	6534	6533	1
+16	1	7932	7931	1
+15	1	9133	9132	1

20260516_145757/trial_001/nxon2_024722855__MembraneDiag.txt

@@ -0,0 +1,1175 @@
+# Neuraxon Game of Life v4.83 — Membrane diagnostics
+# game_id=nxon2_024722855
+# rows=1170
+# 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
+400	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+400	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
+400	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+400	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+400	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+400	2	0	-0.617237	0.230609	0.042925	1	0.224695	1	0.000000
+400	2	1	-0.681950	0.222163	0.038968	-1	0.212668	1	0.000000
+400	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000
+500	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+500	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+500	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
+500	1	0	0.454007	0.251953	0.028985	1	0.193846	1	0.000000
+500	1	1	-0.761601	0.236817	0.030397	-1	0.209363	3	0.000000
+500	1	2	0.363975	0.252533	0.038454	-1	0.225092	2	0.000000
+500	2	0	-0.617237	0.230609	0.042925	1	0.224695	1	0.000000
+500	2	1	-0.681950	0.222163	0.038968	-1	0.212668	1	0.000000
+500	2	2	0.105783	0.243244	0.036124	-1	0.206694	2	0.000000
+600	0	0	0.420211	0.255204	0.033839	-1	0.218175	1	0.000000
+600	0	1	0.044834	0.279966	0.039244	-1	0.221961	2	0.000000
+600	0	2	-0.925649	0.150974	0.028815	-1	0.180899	2	0.000000
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+13000	3	2	0.188297	0.220167	0.039938	-1	0.225302	3	0.000000

20260516_145757/trial_001__arch.json

@@ -0,0 +1,45 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 1,
+    "sampled_at": "2026-05-16T14:57:57"
+  },
+  "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_145757/trial_002/nxon2_117492643__LifespanLog.txt

@@ -0,0 +1,38 @@
+# Neuraxon Game of Life v4.83 — Per-NxEr lifespan log
+# game_id=nxon2_117492643
+# rows=31 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=7
+# 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	1966	262	0
+5	1	3667	3666	1
+35	2938	3732	794	0
+34	2813	3750	937	0
+17	1	4575	4574	1
+21	1	4834	4833	1
+36	4367	5176	809	0
+32	1054	5681	4627	0
+18	1	5780	5779	1
+6	1	6182	6181	1
+37	5650	6186	536	0
+15	1	6673	6672	1
+14	1	7784	7783	1
+19	1	9304	9303	1
+9	1	9425	9424	1
+8	1	9597	9596	1
+20	1	9786	9785	1
+11	1	9966	9965	1
+1	1	10073	10072	1
+0	1	11190	11189	1
+22	1	11568	11567	1
+30	478	12043	11565	0
+10	1	12232	12231	1
+4	1	12975	12974	1
+25	1	13056	13055	1
+23	1	13087	13086	1

20260516_145757/trial_002/nxon2_117492643__MembraneDiag.txt

@@ -0,0 +1,1247 @@
+# Neuraxon Game of Life v4.83 — Membrane diagnostics
+# game_id=nxon2_117492643
+# rows=1242
+# 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
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20260516_145757/trial_002__arch.json

@@ -0,0 +1,45 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 2,
+    "sampled_at": "2026-05-16T14:57:57"
+  },
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+    "circadian_cycle_ticks": 1046
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+      1.4448528488954369
+    ]
+  }
+}

20260516_145757/trial_003/nxon2_729357211__LifespanLog.txt

@@ -0,0 +1,30 @@
+# Neuraxon Game of Life v4.83 — Per-NxEr lifespan log
+# game_id=nxon2_729357211
+# rows=23 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=14
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+5	1	212	211	1
+23	1	288	287	1
+8	1	374	373	1
+30	113	388	275	0
+1	1	948	947	1
+11	1	1072	1071	1
+6	1	1266	1265	1
+10	1	1380	1379	1
+27	1	1388	1387	1
+12	1	1793	1792	1
+17	1	2171	2170	1
+18	1	2467	2466	1
+20	1	2881	2880	1
+32	396	2892	2496	0
+19	1	3154	3153	1
+4	1	3375	3374	1
+3	1	3431	3430	1
+39	3478	3551	73	0
+28	1	4213	4212	1
+40	3772	4265	493	0
+35	1632	5378	3746	0
+37	2427	6872	4445	0
+36	1902	7535	5633	0

20260516_145757/trial_003/nxon2_729357211__MembraneDiag.txt

@@ -0,0 +1,1031 @@
+# Neuraxon Game of Life v4.83 — Membrane diagnostics
+# game_id=nxon2_729357211
+# rows=1026
+# 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
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+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
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+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
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+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	2	0	0.859893	0.299541	0.038855	1	0.228026	1	0.000000
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+1000	2	2	-0.436554	0.416767	0.047500	1	0.260347	2	0.000000
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+1100	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
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+1100	0	2	-1.163760	0.307604	0.052991	-1	0.262728	3	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
+1100	3	0	0.903829	0.267008	0.034925	1	0.211912	3	0.000000
+1100	3	1	0.134812	0.295273	0.034093	-1	0.214642	5	0.000000
+1100	3	2	-0.300019	0.359591	0.044714	1	0.248810	4	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	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
+1200	3	0	0.903829	0.267008	0.034925	1	0.211912	3	0.000000
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+1300	0	0	-0.144540	0.214354	0.043843	-1	0.232781	1	0.000000
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20260516_145757/trial_003__arch.json

@@ -0,0 +1,45 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 3,
+    "sampled_at": "2026-05-16T14:57:57"
+  },
+  "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
+    ]
+  }
+}