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20260516_195737/nas_best.json

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+{
+  "_meta": {
+    "name": "nas_best_t032",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 32, fitness 6.7694. 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": 32,
+    "fitness": 6.769351672145744,
+    "saved_at": "2026-05-16T21:58:16",
+    "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": 12.432304022409694,
+    "_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": 3.5534218228380126,
+    "_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": 58.17087079528734,
+    "_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": 1190,
+    "idle_explore_seconds": 0.5777417935806551,
+    "explore_probability": 0.7792121541061123,
+    "_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": 0.4122571122162926,
+    "afferent_synapse_strength": 1.1283674517248126,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5577853260422684,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.01774868695104443,
+    "intrinsic_timescale_default": 23.89376420655414,
+    "resting_potential_decay": 0.20249465493659108,
+    "sensorimotor_coupling": 1.9643439792832014,
+    "_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": 1,
+    "_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": 0.46949060098473194,
+    "_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": 0.045281262536968354,
+    "plasticity_threshold": 0.4354244936205727,
+    "adaptation_tau_ticks": 35.9934661031709,
+    "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": 0.1885409197173764,
+    "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": [
+      0.898117852322742,
+      1.5187877351112413
+    ],
+    "_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": 6.874737473346133,
+    "_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": 0.05700140962839825,
+    "_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": 0.06116595001134195,
+    "_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_195737/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
+2,2026-05-16T20:57:41,5.5800,25.0,32.0,31.0,32.0,29.0,29.25,0.1498,0.3778,0.9088,-0.5925,0.6227,18.21,3.02,0.5855,0.6050,0.0606,0.0149,0.1977,0.0441,3548,3603.8,,"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]",1
+6,2026-05-16T20:57:41,4.8860,30.0,30.0,30.0,30.0,30.0,30.00,0.0118,0.4416,1.0120,0.0000,0.0000,7.60,4.77,0.1013,0.5220,0.0170,-0.0022,0.4289,0.0459,2962,3603.8,,"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
+0,2026-05-16T20:57:41,5.8782,35.0,37.0,30.0,34.0,36.0,33.75,0.1660,0.3710,1.1623,-0.0002,0.9753,38.98,3.11,0.5970,0.5364,0.0506,-0.0074,0.2281,0.0450,3148,3604.1,,"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]",1
+16,2026-05-16T20:57:41,4.9082,31.0,31.0,30.0,30.0,30.0,30.25,0.0129,0.4713,1.0073,0.0000,0.0000,6.12,4.55,0.0486,0.5521,0.0285,0.0055,0.3010,0.0365,2917,3604.2,,"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
+14,2026-05-16T20:57:41,6.3839,34.0,34.0,30.0,30.0,32.0,31.50,0.0470,0.4377,0.9824,0.2825,0.9991,7.65,3.64,0.2382,0.5266,0.0147,0.0122,0.2978,0.0425,2855,3604.3,,"metabolic_ramp_per_sec=6.247 max_atrophy=2.963 metabolic_rate_abs_cap_multiple=30.597 idle_explore_seconds=1.903 explore_probability=0.38821 mate_cooldown_seconds=15 circadian_cycle_ticks=823 num_hidden_neurons_default=9 connection_probability=0.26556 afferent_synapse_strength=1.292 firing_threshold_excitatory=0.47642 spontaneous_firing_rate=0.03568 intrinsic_timescale_default=8.037 resting_potential_decay=0.33139 sensorimotor_coupling=1.615 symmetric_stdp=False refractory_period_ticks=5 post_spike_mp_reset=0.4313 learning_rate=0.04241 plasticity_threshold=0.66831 autoreceptor_coefficient=0.17463 adaptation_tau_ticks=36.535 intrinsic_timescale_jitter=4.057 firing_threshold_jitter=0.10003 mutation_strength=0.0624 metabolic_rate_multiplier_range=[0.6436188604825287, 1.5450257593034005]",1
+12,2026-05-16T20:57:42,6.2246,41.0,41.0,31.0,32.0,37.0,35.25,0.2558,0.2899,0.9228,-0.0876,0.9939,51.08,2.18,0.8353,0.4775,0.0225,-0.0083,0.2713,0.0618,3148,3604.4,,"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
+7,2026-05-16T20:57:42,6.2365,36.0,36.0,32.0,33.0,35.0,34.00,0.1167,0.4491,1.0058,-0.4589,0.9620,13.77,3.31,0.3699,0.5553,0.0204,0.0056,0.3412,0.0441,2970,3604.5,,"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
+8,2026-05-16T20:57:42,5.6151,31.0,35.0,30.0,33.0,32.0,31.50,0.2852,0.2302,1.1557,-0.2989,0.4982,42.15,2.48,0.8748,0.4575,0.0449,0.0268,0.2613,0.0577,2736,3604.5,,"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
+26,2026-05-16T20:57:42,4.9034,30.0,30.0,30.0,30.0,30.0,30.00,0.0198,0.4764,1.0812,0.0000,0.0000,6.44,4.16,0.0652,0.5684,0.0211,0.0109,0.3374,0.0336,2849,3604.5,,"metabolic_ramp_per_sec=9.084 max_atrophy=13.112 metabolic_rate_abs_cap_multiple=59.482 idle_explore_seconds=0.97184 explore_probability=0.57262 mate_cooldown_seconds=15 circadian_cycle_ticks=1057 num_hidden_neurons_default=9 connection_probability=0.43428 afferent_synapse_strength=0.84935 firing_threshold_excitatory=0.46331 spontaneous_firing_rate=0.0312 intrinsic_timescale_default=11.455 resting_potential_decay=0.14345 sensorimotor_coupling=0.22519 symmetric_stdp=False refractory_period_ticks=6 post_spike_mp_reset=0.4505 learning_rate=0.01353 plasticity_threshold=0.4165 autoreceptor_coefficient=0.0963 adaptation_tau_ticks=38.278 intrinsic_timescale_jitter=5.499 firing_threshold_jitter=0.13859 mutation_strength=0.12242 metabolic_rate_multiplier_range=[0.8460456453328009, 1.299717229523874]",0
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+15,2026-05-16T20:57:42,4.8464,30.0,30.0,30.0,30.0,30.0,30.00,0.0097,0.4559,1.0288,0.0000,0.0000,7.85,4.39,0.0857,0.4858,0.0087,0.0104,0.1856,0.0477,2883,3604.6,,"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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+45,2026-05-16T21:58:18,5.6138,27.0,33.0,33.0,28.0,27.0,28.75,0.2179,0.0884,0.9986,0.0539,0.2168,5.76,2.78,0.9947,0.4077,0.0664,0.0034,1.0000,0.0848,5600,3635.6,,"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
+50,2026-05-16T21:58:19,6.1655,38.0,39.0,30.0,34.0,39.0,35.25,0.1017,0.4282,0.9818,-0.2984,0.8811,10.41,3.30,0.4156,0.5735,0.0697,-0.0114,0.2681,0.0427,2655,3635.2,,"metabolic_ramp_per_sec=14.628 max_atrophy=10.239 metabolic_rate_abs_cap_multiple=11.427 idle_explore_seconds=0.50791 explore_probability=0.60703 mate_cooldown_seconds=10 circadian_cycle_ticks=558 num_hidden_neurons_default=10 connection_probability=0.25001 afferent_synapse_strength=1.299 firing_threshold_excitatory=0.44243 spontaneous_firing_rate=0.01319 intrinsic_timescale_default=29.289 resting_potential_decay=0.27462 sensorimotor_coupling=1.176 symmetric_stdp=False refractory_period_ticks=4 post_spike_mp_reset=0.55892 learning_rate=0.01587 plasticity_threshold=0.43139 autoreceptor_coefficient=0.07556 adaptation_tau_ticks=38.113 intrinsic_timescale_jitter=7.3 firing_threshold_jitter=0.01402 mutation_strength=0.10716 metabolic_rate_multiplier_range=[0.9314880185467833, 1.5984402621312288]",0
+60,2026-05-16T21:58:20,4.9010,32.0,32.0,30.0,30.0,31.0,30.75,0.0147,0.4538,1.0887,0.0000,0.0000,6.60,4.94,0.0628,0.4475,0.0095,0.0285,0.2871,0.0393,2752,3631.8,,"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
+40,2026-05-16T21:58:20,4.9001,31.0,31.0,31.0,31.0,31.0,31.00,0.0151,0.4447,0.9377,0.0000,0.0000,6.66,4.33,0.0634,0.6309,0.0345,0.0115,0.2790,0.0427,2679,3638.2,,"metabolic_ramp_per_sec=17.8 max_atrophy=8.793 metabolic_rate_abs_cap_multiple=49.523 idle_explore_seconds=0.54184 explore_probability=0.71987 mate_cooldown_seconds=8 circadian_cycle_ticks=315 num_hidden_neurons_default=17 connection_probability=0.387 afferent_synapse_strength=0.88552 firing_threshold_excitatory=0.49713 spontaneous_firing_rate=0.00811 intrinsic_timescale_default=9.153 resting_potential_decay=0.28543 sensorimotor_coupling=1.578 symmetric_stdp=False refractory_period_ticks=7 post_spike_mp_reset=0.44828 learning_rate=0.00641 plasticity_threshold=0.53747 autoreceptor_coefficient=0.1404 adaptation_tau_ticks=18.862 intrinsic_timescale_jitter=7.27 firing_threshold_jitter=0.09884 mutation_strength=0.05921 metabolic_rate_multiplier_range=[0.8152873926995527, 1.4499836484400546]",0
+43,2026-05-16T21:58:21,4.8988,30.0,30.0,30.0,30.0,30.0,30.00,0.0175,0.4517,1.0460,0.0000,0.0000,6.74,5.37,0.0859,0.6302,0.0390,0.0082,0.3506,0.0417,2816,3637.9,,"metabolic_ramp_per_sec=17.058 max_atrophy=7.21 metabolic_rate_abs_cap_multiple=55.624 idle_explore_seconds=0.41318 explore_probability=0.37258 mate_cooldown_seconds=10 circadian_cycle_ticks=660 num_hidden_neurons_default=9 connection_probability=0.32338 afferent_synapse_strength=0.85529 firing_threshold_excitatory=0.59702 spontaneous_firing_rate=0.00931 intrinsic_timescale_default=10.381 resting_potential_decay=0.31134 sensorimotor_coupling=1.103 symmetric_stdp=True refractory_period_ticks=9 post_spike_mp_reset=0.22616 learning_rate=0.00796 plasticity_threshold=0.52439 autoreceptor_coefficient=0.20349 adaptation_tau_ticks=34.869 intrinsic_timescale_jitter=4.872 firing_threshold_jitter=0.09867 mutation_strength=0.11015 metabolic_rate_multiplier_range=[0.8362418489526562, 1.3562068653437467]",0
+46,2026-05-16T21:58:21,4.9025,33.0,33.0,30.0,32.0,32.0,31.75,0.0288,0.4617,0.9192,0.0000,0.0000,6.50,4.07,0.0687,0.4952,0.0251,0.0122,0.3217,0.0332,2477,3638.4,,"metabolic_ramp_per_sec=5.682 max_atrophy=9.043 metabolic_rate_abs_cap_multiple=42.739 idle_explore_seconds=1.079 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
+58,2026-05-16T21:58:21,6.4231,22.0,32.0,31.0,28.0,23.0,26.00,0.2090,0.0933,1.0155,0.1085,0.9064,2.43,2.56,0.9955,0.4029,0.0598,0.0000,0.8057,0.0193,5539,3636.0,,"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
+55,2026-05-16T21:58:22,4.9089,33.0,33.0,30.0,30.0,30.0,30.75,0.0323,0.4598,0.9960,0.0000,0.0000,6.07,4.10,0.0720,0.5496,0.0166,0.0260,0.2305,0.0357,2489,3637.3,,"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
+57,2026-05-16T21:58:22,4.8305,30.0,30.0,30.0,30.0,30.0,30.00,0.0095,0.4211,1.0988,0.0000,0.0000,8.39,6.24,0.0738,0.5493,0.0215,0.0012,0.1825,0.0378,2888,3636.8,,"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
+59,2026-05-16T21:58:23,4.8963,32.0,32.0,31.0,31.0,31.0,31.25,0.0632,0.4047,1.1376,0.0000,0.0000,6.92,3.53,0.3209,0.4967,0.0149,0.0191,0.2232,0.0412,2747,3637.5,,"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
+38,2026-05-16T21:58:26,4.8899,30.0,30.0,30.0,30.0,30.0,30.00,0.0110,0.4599,0.9802,0.0000,0.0000,7.34,4.61,0.0515,0.6512,0.0286,-0.0233,0.2679,0.0399,2530,3644.3,,"metabolic_ramp_per_sec=17.14 max_atrophy=5.609 metabolic_rate_abs_cap_multiple=33.616 idle_explore_seconds=0.51382 explore_probability=0.73236 mate_cooldown_seconds=8 circadian_cycle_ticks=697 num_hidden_neurons_default=20 connection_probability=0.2613 afferent_synapse_strength=1.739 firing_threshold_excitatory=0.60895 spontaneous_firing_rate=0.02236 intrinsic_timescale_default=20.921 resting_potential_decay=0.28165 sensorimotor_coupling=2.656 symmetric_stdp=False refractory_period_ticks=7 post_spike_mp_reset=0.61565 learning_rate=0.04109 plasticity_threshold=0.4119 autoreceptor_coefficient=0.18806 adaptation_tau_ticks=18.691 intrinsic_timescale_jitter=2.901 firing_threshold_jitter=0.14714 mutation_strength=0.06775 metabolic_rate_multiplier_range=[0.7556435509226792, 1.1798619510270476]",0
+44,2026-05-16T21:58:28,4.8875,33.0,33.0,30.0,31.0,32.0,31.50,0.0123,0.4171,1.0205,0.0000,0.0000,7.50,4.60,0.0819,0.4847,0.0058,0.0183,0.2527,0.0377,2498,3645.0,,"metabolic_ramp_per_sec=2.463 max_atrophy=5.189 metabolic_rate_abs_cap_multiple=47.645 idle_explore_seconds=2.327 explore_probability=0.41061 mate_cooldown_seconds=8 circadian_cycle_ticks=1190 num_hidden_neurons_default=10 connection_probability=0.3199 afferent_synapse_strength=1.081 firing_threshold_excitatory=0.44256 spontaneous_firing_rate=0.02893 intrinsic_timescale_default=8.674 resting_potential_decay=0.28653 sensorimotor_coupling=0.6454 symmetric_stdp=True refractory_period_ticks=7 post_spike_mp_reset=0.3409 learning_rate=0.00658 plasticity_threshold=0.58864 autoreceptor_coefficient=0.20537 adaptation_tau_ticks=32.704 intrinsic_timescale_jitter=1.259 firing_threshold_jitter=0.09268 mutation_strength=0.10762 metabolic_rate_multiplier_range=[0.6297349639920127, 1.078934854534037]",0
+54,2026-05-16T21:58:30,6.0451,25.0,31.0,27.0,25.0,24.0,25.25,0.2511,0.1349,0.8759,0.2494,0.9800,29.99,2.24,0.9475,0.4611,0.0639,0.0744,1.0000,0.0845,4075,3646.1,,"metabolic_ramp_per_sec=4.337 max_atrophy=2.017 metabolic_rate_abs_cap_multiple=55.705 idle_explore_seconds=1.339 explore_probability=0.69867 mate_cooldown_seconds=18 circadian_cycle_ticks=1022 num_hidden_neurons_default=21 connection_probability=0.28458 afferent_synapse_strength=0.6063 firing_threshold_excitatory=0.42377 spontaneous_firing_rate=0.01017 intrinsic_timescale_default=26.369 resting_potential_decay=0.2372 sensorimotor_coupling=2.182 symmetric_stdp=True refractory_period_ticks=1 post_spike_mp_reset=0.77617 learning_rate=0.0043 plasticity_threshold=0.34874 autoreceptor_coefficient=0.09769 adaptation_tau_ticks=35.558 intrinsic_timescale_jitter=6.694 firing_threshold_jitter=0.07497 mutation_strength=0.08969 metabolic_rate_multiplier_range=[0.8179836989193392, 1.084543933056085]",0
+61,2026-05-16T21:58:30,4.8792,30.0,30.0,30.0,30.0,30.0,30.00,0.0135,0.4270,0.9442,0.0000,0.0000,7.77,6.68,0.0377,0.5323,0.0050,0.0184,0.1983,0.0388,2619,3641.1,,"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
+33,2026-05-16T21:58:37,6.4540,23.0,35.0,33.0,31.0,27.0,28.50,0.2587,0.0917,1.0273,0.4992,0.7628,2.68,2.78,0.9982,0.4396,0.1091,0.0000,0.6658,0.0189,5289,3655.0,,"metabolic_ramp_per_sec=13.499 max_atrophy=11.752 metabolic_rate_abs_cap_multiple=53.364 idle_explore_seconds=0.37898 explore_probability=0.24105 mate_cooldown_seconds=16 circadian_cycle_ticks=1000 num_hidden_neurons_default=15 connection_probability=0.44923 afferent_synapse_strength=1.496 firing_threshold_excitatory=0.53019 spontaneous_firing_rate=0.00657 intrinsic_timescale_default=21.942 resting_potential_decay=0.31814 sensorimotor_coupling=1.331 symmetric_stdp=True refractory_period_ticks=0 post_spike_mp_reset=0.04599 learning_rate=0.02594 plasticity_threshold=0.41735 autoreceptor_coefficient=0.12497 adaptation_tau_ticks=15.823 intrinsic_timescale_jitter=6.34 firing_threshold_jitter=0.0255 mutation_strength=0.03027 metabolic_rate_multiplier_range=[0.785908211352066, 1.3612604340537653]",0
+53,2026-05-16T21:58:37,5.3755,17.0,33.0,29.0,26.0,21.0,23.25,0.2531,0.1273,1.0498,-0.0855,0.5948,22.78,2.00,0.9927,0.3988,0.0606,-0.0202,1.0000,0.1699,4692,3652.6,,"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

20260516_195737/nas_top1.json

@@ -0,0 +1,149 @@
+{
+  "_meta": {
+    "name": "nas_best_t032",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 32, fitness 6.7694. 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": 32,
+    "fitness": 6.769351672145744,
+    "saved_at": "2026-05-16T21:58:37",
+    "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": 12.432304022409694,
+    "_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": 3.5534218228380126,
+    "_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": 58.17087079528734,
+    "_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": 1190,
+    "idle_explore_seconds": 0.5777417935806551,
+    "explore_probability": 0.7792121541061123,
+    "_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": 0.4122571122162926,
+    "afferent_synapse_strength": 1.1283674517248126,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5577853260422684,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.01774868695104443,
+    "intrinsic_timescale_default": 23.89376420655414,
+    "resting_potential_decay": 0.20249465493659108,
+    "sensorimotor_coupling": 1.9643439792832014,
+    "_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": 1,
+    "_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": 0.46949060098473194,
+    "_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": 0.045281262536968354,
+    "plasticity_threshold": 0.4354244936205727,
+    "adaptation_tau_ticks": 35.9934661031709,
+    "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": 0.1885409197173764,
+    "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": [
+      0.898117852322742,
+      1.5187877351112413
+    ],
+    "_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": 6.874737473346133,
+    "_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": 0.05700140962839825,
+    "_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": 0.06116595001134195,
+    "_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_195737/nas_top2.json

@@ -0,0 +1,149 @@
+{
+  "_meta": {
+    "name": "nas_best_t033",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 33, fitness 6.4540. 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": 33,
+    "fitness": 6.453996585020864,
+    "saved_at": "2026-05-16T21:58:37",
+    "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": 13.499478803567728,
+    "_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": 11.75192442601391,
+    "_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": 53.36391690472389,
+    "_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": 1000,
+    "idle_explore_seconds": 0.37897801964291045,
+    "explore_probability": 0.24105244830893088,
+    "_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": 15,
+    "_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": 0.44922777688686466,
+    "afferent_synapse_strength": 1.4961196400855123,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5301914415769378,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.00656912218792496,
+    "intrinsic_timescale_default": 21.942452233177406,
+    "resting_potential_decay": 0.31814480815177265,
+    "sensorimotor_coupling": 1.3310356549851172,
+    "_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": 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": 0.04599096867721275,
+    "_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": 0.02594124397757491,
+    "plasticity_threshold": 0.4173471103860835,
+    "adaptation_tau_ticks": 15.822791827975937,
+    "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": 0.12496821795506297,
+    "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": [
+      0.785908211352066,
+      1.3612604340537653
+    ],
+    "_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": 6.340155791047626,
+    "_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": 0.025497547360214607,
+    "_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": 0.030265885585799304,
+    "_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_195737/nas_top3.json

@@ -0,0 +1,149 @@
+{
+  "_meta": {
+    "name": "nas_best_t058",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 58, fitness 6.4231. 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": 58,
+    "fitness": 6.423094045762668,
+    "saved_at": "2026-05-16T21:58:37",
+    "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": 4.666316353054619,
+    "_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": 7.492763144864769,
+    "_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": 31.250742302853375,
+    "_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": 745,
+    "idle_explore_seconds": 1.8989916705644265,
+    "explore_probability": 0.7469643385077684,
+    "_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": 0.3418407931477441,
+    "afferent_synapse_strength": 1.549773394595722,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.417207419294956,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.032148146369510154,
+    "intrinsic_timescale_default": 16.936625093168352,
+    "resting_potential_decay": 0.228271504866138,
+    "sensorimotor_coupling": 2.2496939527856696,
+    "_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": 0.14277946836254973,
+    "_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": 0.014137755459329746,
+    "plasticity_threshold": 0.6125247878973865,
+    "adaptation_tau_ticks": 12.689334522484351,
+    "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": 0.05695979315970841,
+    "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": [
+      0.8724803807274029,
+      1.2514806602089317
+    ],
+    "_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": 3.0628352135102217,
+    "_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": 0.08508669625861792,
+    "_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": 0.09866232775112212,
+    "_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_195737/trial_000/nxon2_430391171__LifespanLog.txt

@@ -0,0 +1,12 @@
+# Neuraxon Game of Life v4.85 — Per-NxEr lifespan log
+# game_id=nxon2_430391171
+# rows=5 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=26
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+29	1	1720	1719	1
+31	970	2462	1492	0
+10	1	2827	2826	1
+28	1	2871	2870	1
+19	1	2883	2882	1

20260516_195737/trial_000/nxon2_430391171__MembraneDiag.txt

@@ -0,0 +1,563 @@
+# Neuraxon Game of Life v4.85 — Membrane diagnostics
+# game_id=nxon2_430391171
+# rows=558
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
+tick	nxer_id	neuron_id	layer	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
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+100	0	2	input	0.486582	0.152321	0.033121	0	0.189853	2	131.755373
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+100	1	7	hidden	-0.961407	0.086645	0.034602	-1	0.157656	1	80.852104
+100	1	8	hidden	0.682018	0.180271	0.031073	0	0.140692	1	76.999957
+100	1	0	input	-0.631288	0.117175	0.027737	0	0.125756	2	125.635812
+100	1	1	input	0.415214	0.121807	0.030099	0	0.135282	3	103.694696
+100	1	2	input	0.194915	0.113730	0.037411	0	0.160037	4	78.257272
+100	2	6	hidden	0.592555	0.093942	0.010585	0	0.152525	3	117.163014
+100	2	7	hidden	-0.025316	0.129158	0.020016	0	0.188586	3	71.976616
+100	2	8	hidden	1.187839	0.110852	0.014270	0	0.166469	3	115.465939
+100	2	0	input	0.008381	0.060668	0.006586	0	0.136650	5	108.186081
+100	2	1	input	-0.549292	0.142498	0.018427	0	0.183060	1	72.224030
+100	2	2	input	0.069686	0.078672	0.010276	0	0.150565	5	114.208008
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+200	0	7	hidden	-0.991048	0.113182	0.055940	0	0.209086	5	112.084195
+200	0	8	hidden	0.440644	0.167716	0.059545	0	0.225281	1	26.994467
+200	0	0	input	-1.081837	0.129007	0.052288	0	0.199022	3	29.773103
+200	0	1	input	1.161075	0.144430	0.052576	0	0.200430	3	95.138148
+200	0	2	input	-0.327428	0.151173	0.053020	0	0.202768	3	126.966302
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+200	1	8	hidden	-0.194222	0.133083	0.049784	0	0.175921	3	37.531677
+200	1	0	input	-0.184558	0.110080	0.040388	0	0.143557	6	142.702394
+200	1	1	input	1.084587	0.136525	0.050137	0	0.178498	2	65.106031
+200	1	2	input	0.175597	0.135665	0.057251	0	0.199928	1	53.207971
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+200	2	0	input	-0.717773	0.124542	0.024540	0	0.161015	2	84.124787
+200	2	1	input	-0.994618	0.156356	0.031479	0	0.183849	3	37.246193
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+300	1	0	input	0.299160	0.152633	0.056750	0	0.186004	2	135.374087
+300	1	1	input	-1.915481	0.123146	0.063224	0	0.203633	3	19.600325
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+400	1	1	input	-1.996069	0.113076	0.066413	0	0.199560	2	12.677183
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20260516_195737/trial_000__arch.json

@@ -0,0 +1,45 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-16T19:57:37"
+  },
+  "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_195737/trial_001/nxon2_024722855__LifespanLog.txt

@@ -0,0 +1,20 @@
+# Neuraxon Game of Life v4.85 — Per-NxEr lifespan log
+# game_id=nxon2_024722855
+# rows=13 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=20
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+30	174	934	760	0
+20	1	1077	1076	1
+18	1	1443	1442	1
+11	1	1451	1450	1
+27	1	1951	1950	1
+22	1	2131	2130	1
+23	1	2324	2323	1
+12	1	2623	2622	1
+25	1	2743	2742	1
+32	563	2788	2225	0
+2	1	3422	3421	1
+31	422	3670	3248	0
+13	1	4047	4046	1

20260516_195737/trial_001/nxon2_024722855__MembraneDiag.txt

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+# Neuraxon Game of Life v4.85 — Membrane diagnostics
+# game_id=nxon2_024722855
+# rows=720
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
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+{
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+    "source": "NxonArchNAS",
+    "trial_id": 1,
+    "sampled_at": "2026-05-16T19:57:37"
+  },
+  "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_195737/trial_002/nxon2_117492643__LifespanLog.txt

@@ -0,0 +1,17 @@
+# Neuraxon Game of Life v4.85 — Per-NxEr lifespan log
+# game_id=nxon2_117492643
+# rows=10 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=23
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+30	681	1098	417	0
+31	1265	1954	689	0
+6	1	2153	2152	1
+11	1	2195	2194	1
+15	1	2521	2520	1
+24	1	2988	2987	1
+28	1	3035	3034	1
+5	1	3164	3163	1
+0	1	3231	3230	1
+34	2863	3360	497	0

20260516_195737/trial_002/nxon2_117492643__MembraneDiag.txt

@@ -0,0 +1,635 @@
+# Neuraxon Game of Life v4.85 — Membrane diagnostics
+# game_id=nxon2_117492643
+# rows=630
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
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20260516_195737/trial_002__arch.json

@@ -0,0 +1,45 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 2,
+    "sampled_at": "2026-05-16T19:57:37"
+  },
+  "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_195737/trial_003/nxon2_729357211__LifespanLog.txt

@@ -0,0 +1,18 @@
+# Neuraxon Game of Life v4.85 — Per-NxEr lifespan log
+# game_id=nxon2_729357211
+# rows=11 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=21
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+25	1	782	781	1
+31	757	1157	400	0
+16	1	1796	1795	1
+32	955	1884	929	0
+27	1	1980	1979	1
+11	1	1987	1986	1
+13	1	2001	2000	1
+0	1	2151	2150	1
+14	1	2220	2219	1
+1	1	2400	2399	1
+20	1	2916	2915	1

20260516_195737/trial_003/nxon2_729357211__MembraneDiag.txt

@@ -0,0 +1,599 @@
+# Neuraxon Game of Life v4.85 — Membrane diagnostics
+# game_id=nxon2_729357211
+# rows=594
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
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20260516_195737/trial_003__arch.json

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+{
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