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@@ -118,3 +118,52 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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20260524_220423/nas_best.json

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+{
+  "_meta": {
+    "name": "nas_best_t024",
+    "version": "NxonArchNAS v0.5 (v186)",
+    "description": "Architecture found by NAS \u2014 trial 24, fitness 6.1668. 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": 24,
+    "fitness": 6.1668376668139775,
+    "saved_at": "2026-05-25T06:04:33",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 15.723729510405642,
+    "_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": 5.952349458316033,
+    "_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": 44.07103104713849,
+    "_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": 19,
+    "circadian_cycle_ticks": 1078,
+    "idle_explore_seconds": 0.9340791497952028,
+    "explore_probability": 0.7671161237379265,
+    "_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": 23,
+    "_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": 0.1610091390941126,
+    "afferent_synapse_strength": 0.7056717513309463,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.4757196552826623,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.006895305634407782,
+    "intrinsic_timescale_default": 24.996054372875772,
+    "resting_potential_decay": 0.3162276460129697,
+    "sensorimotor_coupling": 2.4747816098061026,
+    "_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": 10,
+    "_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": 0.8693674843206524,
+    "_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.",
+    "sphere_topology": "chc6",
+    "cross_sphere_coupling": 1.876226226435027,
+    "cryst_capacity": 2.019981072122034,
+    "free_energy_beta": 0.6460490051954655
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.00884800198464168,
+    "plasticity_threshold": 0.32168163415069145,
+    "adaptation_tau_ticks": 34.90535490406845,
+    "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": 0.15368787849214577,
+    "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)).",
+    "fitness_g_weight": 0.5492196390853317
+  },
+  "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": [
+      0.9246854662955566,
+      1.2909638522898081
+    ],
+    "_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": 5.586000232977378,
+    "_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": 0.018213912504392974,
+    "_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": 0.14650908605682025,
+    "_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
+    ]
+  }
+}

20260524_220423/nas_log.csv

@@ -0,0 +1,46 @@
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+27,2026-05-25T00:31:19,4.8706,1.0,34.0,31.0,26.0,18.0,19.00,0.0062,0.4077,1.0701,0.3388,0.8186,13.07,7.82,0.2916,0.4111,0.0376,0.0139,0.5099,0.0521,0.1990,0.5808,0.1689,-0.0005,1.0575,9046,8814.6,,1,0,-1,"metabolic_ramp_per_sec=13.559 max_atrophy=7.035 metabolic_rate_abs_cap_multiple=42.049 idle_explore_seconds=0.63959 explore_probability=0.48169 mate_cooldown_seconds=10 circadian_cycle_ticks=646 num_hidden_neurons_default=18 connection_probability=0.34495 afferent_synapse_strength=1.622 firing_threshold_excitatory=0.6557 spontaneous_firing_rate=0.05417 intrinsic_timescale_default=16.36 resting_potential_decay=0.17917 sensorimotor_coupling=2.156 symmetric_stdp=True refractory_period_ticks=8 post_spike_mp_reset=0.0359 sphere_topology=sensory_association_motor cross_sphere_coupling=1.302 cryst_capacity=0.69689 free_energy_beta=1.377 learning_rate=0.00249 plasticity_threshold=0.55246 autoreceptor_coefficient=0.23419 adaptation_tau_ticks=49.897 fitness_g_weight=0.87258 intrinsic_timescale_jitter=7.227 firing_threshold_jitter=0.0069 mutation_strength=0.1235 metabolic_rate_multiplier_range=[0.7552874930815969, 1.431700639536279]",1
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+39,2026-05-25T03:02:48,2.9967,1.0,8.0,3.0,2.0,1.0,1.75,0.1538,0.0400,0.7774,0.1585,0.2370,1.00,336.60,1.0000,0.2860,0.2217,0.0000,1.0000,0.0351,0.0000,0.5470,0.0000,0.0000,0.0000,9790,6397.1,,1,0,-1,"metabolic_ramp_per_sec=3.694 max_atrophy=7.382 metabolic_rate_abs_cap_multiple=28.823 idle_explore_seconds=0.47302 explore_probability=0.72231 mate_cooldown_seconds=17 circadian_cycle_ticks=647 num_hidden_neurons_default=13 connection_probability=0.24992 afferent_synapse_strength=0.80176 firing_threshold_excitatory=0.55314 spontaneous_firing_rate=0.00686 intrinsic_timescale_default=19.219 resting_potential_decay=0.32648 sensorimotor_coupling=1.048 symmetric_stdp=False refractory_period_ticks=3 post_spike_mp_reset=0.1028 sphere_topology=sensory_association_motor cross_sphere_coupling=0.53144 cryst_capacity=2.046 free_energy_beta=1.14 learning_rate=0.00456 plasticity_threshold=0.3694 autoreceptor_coefficient=0.08057 adaptation_tau_ticks=40.366 fitness_g_weight=0.75445 intrinsic_timescale_jitter=7.393 firing_threshold_jitter=0.08467 mutation_strength=0.10259 metabolic_rate_multiplier_range=[0.8659570023627119, 1.2968978913472848]",0
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+11,2026-05-25T03:18:32,4.9799,1.0,1.0,1.0,1.0,1.0,1.00,0.1538,0.0464,1.1313,0.3299,0.3299,1.00,1.00,1.0000,0.2188,0.1355,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,9410,18848.1,,1,0,-1,"metabolic_ramp_per_sec=14.726 max_atrophy=4.573 metabolic_rate_abs_cap_multiple=9.231 idle_explore_seconds=0.72489 explore_probability=0.39696 mate_cooldown_seconds=19 circadian_cycle_ticks=371 num_hidden_neurons_default=14 connection_probability=0.25534 afferent_synapse_strength=1.211 firing_threshold_excitatory=0.60386 spontaneous_firing_rate=0.05186 intrinsic_timescale_default=15.285 resting_potential_decay=0.1069 sensorimotor_coupling=2.631 symmetric_stdp=True refractory_period_ticks=2 post_spike_mp_reset=0.58059 sphere_topology=chc6 cross_sphere_coupling=1.309 cryst_capacity=2.468 free_energy_beta=0.4966 learning_rate=0.04742 plasticity_threshold=0.3153 autoreceptor_coefficient=0.16931 adaptation_tau_ticks=23.827 fitness_g_weight=0.8995 intrinsic_timescale_jitter=3.488 firing_threshold_jitter=0.07799 mutation_strength=0.12485 metabolic_rate_multiplier_range=[0.6665275710758036, 1.0744125935422772]",0
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+19,2026-05-25T06:04:30,2.8818,4.0,5.0,4.0,4.0,4.0,4.00,0.1501,0.1160,1.0742,0.2158,0.2385,1188.17,1084.89,0.9873,0.2214,0.0746,-0.0004,0.0496,0.0001,0.0000,0.0000,0.0000,0.0000,0.0000,9419,28806.5,,1,0,-1,"metabolic_ramp_per_sec=11.118 max_atrophy=10.521 metabolic_rate_abs_cap_multiple=25.493 idle_explore_seconds=1.387 explore_probability=0.39501 mate_cooldown_seconds=13 circadian_cycle_ticks=517 num_hidden_neurons_default=17 connection_probability=0.38935 afferent_synapse_strength=1.008 firing_threshold_excitatory=0.6641 spontaneous_firing_rate=0.03494 intrinsic_timescale_default=14.078 resting_potential_decay=0.10254 sensorimotor_coupling=2.844 symmetric_stdp=False refractory_period_ticks=3 post_spike_mp_reset=0.72007 sphere_topology=chc6 cross_sphere_coupling=1.345 cryst_capacity=0.53449 free_energy_beta=0.8002 learning_rate=0.00964 plasticity_threshold=0.60327 autoreceptor_coefficient=0.18812 adaptation_tau_ticks=35.836 fitness_g_weight=0.4044 intrinsic_timescale_jitter=2.952 firing_threshold_jitter=0.08302 mutation_strength=0.06469 metabolic_rate_multiplier_range=[0.685156807356865, 1.4151780118782489]",0
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+25,2026-05-25T06:04:32,6.1512,55.0,65.0,36.0,55.0,64.0,52.50,0.0067,0.4472,1.0115,0.1342,0.9480,8.19,9.29,0.0743,0.4133,0.0840,-0.0009,0.1303,0.0283,0.3873,0.4358,0.5909,0.0571,2.0270,9550,28807.7,,1,0,-1,"metabolic_ramp_per_sec=11.742 max_atrophy=4.731 metabolic_rate_abs_cap_multiple=16.236 idle_explore_seconds=1.512 explore_probability=0.53135 mate_cooldown_seconds=7 circadian_cycle_ticks=530 num_hidden_neurons_default=9 connection_probability=0.28843 afferent_synapse_strength=0.74096 firing_threshold_excitatory=0.64964 spontaneous_firing_rate=0.01991 intrinsic_timescale_default=23.765 resting_potential_decay=0.22722 sensorimotor_coupling=0.82027 symmetric_stdp=True refractory_period_ticks=7 post_spike_mp_reset=0.24373 sphere_topology=sensory_association_motor cross_sphere_coupling=2.592 cryst_capacity=1.052 free_energy_beta=1.643 learning_rate=0.01179 plasticity_threshold=0.45343 autoreceptor_coefficient=0.23437 adaptation_tau_ticks=30.33 fitness_g_weight=0.41494 intrinsic_timescale_jitter=6.564 firing_threshold_jitter=0.04243 mutation_strength=0.05881 metabolic_rate_multiplier_range=[0.926986937788882, 1.3292557216953111]",1
+23,2026-05-25T06:04:32,5.6383,12.0,34.0,34.0,27.0,21.0,23.50,0.0055,0.2630,0.9596,-0.2635,0.9983,10.27,8.83,0.1232,0.4098,0.0225,-0.0092,0.2873,0.0443,0.4230,0.5226,0.6078,0.1073,1.9880,9374,28808.2,,1,0,-1,"metabolic_ramp_per_sec=11.107 max_atrophy=5.396 metabolic_rate_abs_cap_multiple=14.466 idle_explore_seconds=1.815 explore_probability=0.61984 mate_cooldown_seconds=10 circadian_cycle_ticks=812 num_hidden_neurons_default=23 connection_probability=0.29814 afferent_synapse_strength=0.69653 firing_threshold_excitatory=0.41196 spontaneous_firing_rate=0.01656 intrinsic_timescale_default=15.091 resting_potential_decay=0.16259 sensorimotor_coupling=0.27398 symmetric_stdp=False refractory_period_ticks=12 post_spike_mp_reset=0.67228 sphere_topology=chc6 cross_sphere_coupling=2.748 cryst_capacity=0.86298 free_energy_beta=1.295 learning_rate=0.00476 plasticity_threshold=0.31609 autoreceptor_coefficient=0.20125 adaptation_tau_ticks=28.82 fitness_g_weight=0.63478 intrinsic_timescale_jitter=2.784 firing_threshold_jitter=0.05 mutation_strength=0.10712 metabolic_rate_multiplier_range=[0.7721040307668546, 1.100183323461605]",0
+13,2026-05-25T06:04:32,5.5611,15.0,38.0,37.0,30.0,19.0,25.25,0.0059,0.2422,1.0599,-0.1020,0.9966,10.54,7.77,0.1669,0.4100,0.0258,0.0040,0.1714,0.0367,0.4092,0.4668,0.5813,0.0751,1.7213,9635,28808.6,,1,0,-1,"metabolic_ramp_per_sec=10.179 max_atrophy=12.215 metabolic_rate_abs_cap_multiple=57.911 idle_explore_seconds=1.919 explore_probability=0.59531 mate_cooldown_seconds=10 circadian_cycle_ticks=827 num_hidden_neurons_default=16 connection_probability=0.17802 afferent_synapse_strength=1.742 firing_threshold_excitatory=0.47046 spontaneous_firing_rate=0.01182 intrinsic_timescale_default=25.744 resting_potential_decay=0.13684 sensorimotor_coupling=0.13864 symmetric_stdp=True refractory_period_ticks=9 post_spike_mp_reset=0.84974 sphere_topology=chc6 cross_sphere_coupling=1.483 cryst_capacity=0.98797 free_energy_beta=1.415 learning_rate=0.00253 plasticity_threshold=0.46578 autoreceptor_coefficient=0.17595 adaptation_tau_ticks=17.777 fitness_g_weight=0.00554 intrinsic_timescale_jitter=0.8527 firing_threshold_jitter=0.06377 mutation_strength=0.04287 metabolic_rate_multiplier_range=[0.8628375668164654, 1.473525403715714]",0
+15,2026-05-25T06:04:33,5.2114,12.0,37.0,34.0,28.0,19.0,23.25,0.0019,0.2480,0.9741,-0.3379,1.0000,28.06,17.99,0.1589,0.4364,0.0183,0.0059,0.2278,0.0396,0.4493,0.5004,0.4515,0.0599,2.2301,9199,28809.1,,1,0,-1,"metabolic_ramp_per_sec=4.214 max_atrophy=4.622 metabolic_rate_abs_cap_multiple=44.085 idle_explore_seconds=1.854 explore_probability=0.23854 mate_cooldown_seconds=12 circadian_cycle_ticks=638 num_hidden_neurons_default=23 connection_probability=0.28978 afferent_synapse_strength=0.67472 firing_threshold_excitatory=0.64987 spontaneous_firing_rate=0.01472 intrinsic_timescale_default=24.936 resting_potential_decay=0.33652 sensorimotor_coupling=0.0586 symmetric_stdp=True refractory_period_ticks=7 post_spike_mp_reset=0.0059 sphere_topology=chc6 cross_sphere_coupling=1.615 cryst_capacity=1.969 free_energy_beta=1.66 learning_rate=0.00621 plasticity_threshold=0.60139 autoreceptor_coefficient=0.22069 adaptation_tau_ticks=48.137 fitness_g_weight=0.89781 intrinsic_timescale_jitter=3.885 firing_threshold_jitter=0.05833 mutation_strength=0.10695 metabolic_rate_multiplier_range=[0.7708803171425876, 1.2001144214697912]",0
+24,2026-05-25T06:04:33,6.1668,19.0,35.0,35.0,35.0,29.0,29.50,0.0034,0.2832,1.0309,-0.1206,0.9971,12.24,7.73,0.1117,0.4691,0.0605,-0.0097,0.2001,0.0360,0.3576,0.4432,0.3820,-0.0158,1.6203,9520,28809.2,,1,0,-1,"metabolic_ramp_per_sec=15.724 max_atrophy=5.952 metabolic_rate_abs_cap_multiple=44.071 idle_explore_seconds=0.93408 explore_probability=0.76712 mate_cooldown_seconds=19 circadian_cycle_ticks=1078 num_hidden_neurons_default=23 connection_probability=0.16101 afferent_synapse_strength=0.70567 firing_threshold_excitatory=0.47572 spontaneous_firing_rate=0.0069 intrinsic_timescale_default=24.996 resting_potential_decay=0.31623 sensorimotor_coupling=2.475 symmetric_stdp=False refractory_period_ticks=10 post_spike_mp_reset=0.86937 sphere_topology=chc6 cross_sphere_coupling=1.876 cryst_capacity=2.02 free_energy_beta=0.64605 learning_rate=0.00885 plasticity_threshold=0.32168 autoreceptor_coefficient=0.15369 adaptation_tau_ticks=34.905 fitness_g_weight=0.54922 intrinsic_timescale_jitter=5.586 firing_threshold_jitter=0.01821 mutation_strength=0.14651 metabolic_rate_multiplier_range=[0.9246854662955566, 1.2909638522898081]",1
+18,2026-05-25T06:04:34,5.1263,10.0,33.0,32.0,20.0,15.0,19.25,0.0092,0.3123,1.0187,-0.5185,0.9628,8.43,8.22,0.0885,0.4458,0.0390,-0.0146,0.2168,0.0421,0.4325,0.5950,0.6648,0.1751,1.8456,9371,28810.5,,1,0,-1,"metabolic_ramp_per_sec=3.937 max_atrophy=14.782 metabolic_rate_abs_cap_multiple=48.697 idle_explore_seconds=1.064 explore_probability=0.45703 mate_cooldown_seconds=11 circadian_cycle_ticks=370 num_hidden_neurons_default=22 connection_probability=0.34426 afferent_synapse_strength=0.61518 firing_threshold_excitatory=0.52602 spontaneous_firing_rate=0.01946 intrinsic_timescale_default=17.538 resting_potential_decay=0.19055 sensorimotor_coupling=2.675 symmetric_stdp=True refractory_period_ticks=11 post_spike_mp_reset=0.15299 sphere_topology=chc6 cross_sphere_coupling=1.395 cryst_capacity=2.151 free_energy_beta=1.307 learning_rate=0.00353 plasticity_threshold=0.5087 autoreceptor_coefficient=0.18009 adaptation_tau_ticks=34.636 fitness_g_weight=0.3223 intrinsic_timescale_jitter=2.231 firing_threshold_jitter=0.06762 mutation_strength=0.11756 metabolic_rate_multiplier_range=[0.6859233091827918, 1.5640420332377003]",0
+5,2026-05-25T06:04:34,6.0499,77.0,87.0,37.0,55.0,85.0,63.50,0.0038,0.3946,0.9583,0.1337,0.9341,11.14,9.02,0.0899,0.4277,0.0666,0.0009,0.1234,0.0257,0.3716,0.4368,0.4904,0.0194,2.0497,9763,28810.7,,1,0,-1,"metabolic_ramp_per_sec=5.966 max_atrophy=2.364 metabolic_rate_abs_cap_multiple=9.094 idle_explore_seconds=1.519 explore_probability=0.55306 mate_cooldown_seconds=6 circadian_cycle_ticks=372 num_hidden_neurons_default=7 connection_probability=0.21868 afferent_synapse_strength=1.687 firing_threshold_excitatory=0.65789 spontaneous_firing_rate=0.00609 intrinsic_timescale_default=13.236 resting_potential_decay=0.26724 sensorimotor_coupling=0.64271 symmetric_stdp=False refractory_period_ticks=11 post_spike_mp_reset=0.93551 sphere_topology=sensory_association_motor cross_sphere_coupling=0.28298 cryst_capacity=1.818 free_energy_beta=0.90231 learning_rate=0.01257 plasticity_threshold=0.48907 autoreceptor_coefficient=0.20692 adaptation_tau_ticks=42.3 fitness_g_weight=0.4111 intrinsic_timescale_jitter=5.228 firing_threshold_jitter=0.09693 mutation_strength=0.02788 metabolic_rate_multiplier_range=[0.9023428619293611, 1.0797941529776938]",0
+48,2026-05-25T06:42:45,4.0420,1.0,2.0,1.0,1.0,1.0,1.00,0.1538,0.0108,1.1603,0.7037,0.7046,1.00,1.00,1.0000,0.1623,0.0877,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,9523,11096.9,,1,0,-1,"metabolic_ramp_per_sec=3.281 max_atrophy=10.422 metabolic_rate_abs_cap_multiple=23.938 idle_explore_seconds=1.626 explore_probability=0.45567 mate_cooldown_seconds=17 circadian_cycle_ticks=754 num_hidden_neurons_default=17 connection_probability=0.28414 afferent_synapse_strength=1.472 firing_threshold_excitatory=0.67348 spontaneous_firing_rate=0.0275 intrinsic_timescale_default=17.569 resting_potential_decay=0.25987 sensorimotor_coupling=2.374 symmetric_stdp=False refractory_period_ticks=1 post_spike_mp_reset=0.67118 sphere_topology=sensory_association_motor cross_sphere_coupling=0.42834 cryst_capacity=1.715 free_energy_beta=1.628 learning_rate=0.00739 plasticity_threshold=0.50523 autoreceptor_coefficient=0.19998 adaptation_tau_ticks=16.399 fitness_g_weight=0.0348 intrinsic_timescale_jitter=2.931 firing_threshold_jitter=0.05743 mutation_strength=0.09374 metabolic_rate_multiplier_range=[0.6235316770717381, 1.478183455428776]",0
+45,2026-05-25T06:59:26,5.5349,1.0,1.0,1.0,1.0,1.0,1.00,0.0015,0.2140,0.9415,0.5075,0.5075,15.09,13.44,0.1398,0.1837,0.0300,-0.0173,0.7453,0.1734,0.0000,0.0000,0.0000,0.0000,0.0000,9161,14144.0,,1,0,-1,"metabolic_ramp_per_sec=6.095 max_atrophy=12.772 metabolic_rate_abs_cap_multiple=36.538 idle_explore_seconds=1.9 explore_probability=0.51666 mate_cooldown_seconds=7 circadian_cycle_ticks=1094 num_hidden_neurons_default=15 connection_probability=0.22129 afferent_synapse_strength=0.74622 firing_threshold_excitatory=0.47153 spontaneous_firing_rate=0.0294 intrinsic_timescale_default=21.702 resting_potential_decay=0.1157 sensorimotor_coupling=2.51 symmetric_stdp=True refractory_period_ticks=9 post_spike_mp_reset=0.53605 sphere_topology=sensory_association_motor cross_sphere_coupling=1.844 cryst_capacity=0.98113 free_energy_beta=1.008 learning_rate=0.01529 plasticity_threshold=0.53002 autoreceptor_coefficient=0.19371 adaptation_tau_ticks=21.651 fitness_g_weight=0.66437 intrinsic_timescale_jitter=0.54143 firing_threshold_jitter=0.07891 mutation_strength=0.08595 metabolic_rate_multiplier_range=[0.6299648842455416, 1.586059970023722]",0
+49,2026-05-25T07:15:49,2.9131,1.0,3.0,3.0,3.0,3.0,2.50,0.1725,0.1530,0.9642,-0.1007,0.1007,1427.21,1789.86,0.8307,0.2258,0.0776,0.0000,0.1048,0.0008,0.0000,0.0000,0.0000,0.0000,0.0000,9971,12977.0,,1,0,-1,"metabolic_ramp_per_sec=11.682 max_atrophy=10.667 metabolic_rate_abs_cap_multiple=57.339 idle_explore_seconds=1.118 explore_probability=0.65785 mate_cooldown_seconds=15 circadian_cycle_ticks=440 num_hidden_neurons_default=22 connection_probability=0.26008 afferent_synapse_strength=0.97726 firing_threshold_excitatory=0.48361 spontaneous_firing_rate=0.07171 intrinsic_timescale_default=8.57 resting_potential_decay=0.14651 sensorimotor_coupling=1.553 symmetric_stdp=False refractory_period_ticks=4 post_spike_mp_reset=0.77496 sphere_topology=chc6 cross_sphere_coupling=0.60054 cryst_capacity=0.77146 free_energy_beta=0.42589 learning_rate=0.01929 plasticity_threshold=0.38583 autoreceptor_coefficient=0.17238 adaptation_tau_ticks=37.759 fitness_g_weight=0.17266 intrinsic_timescale_jitter=6.484 firing_threshold_jitter=0.14513 mutation_strength=0.14825 metabolic_rate_multiplier_range=[0.849679463027335, 1.598494322212673]",0
+57,2026-05-25T07:32:39,2.7840,1.0,6.0,4.0,2.0,1.0,2.00,0.1538,0.0240,0.8475,-0.1993,0.1993,1.00,9.17,1.0000,0.2238,0.1020,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,9168,5290.5,,1,0,-1,"metabolic_ramp_per_sec=13.093 max_atrophy=9.736 metabolic_rate_abs_cap_multiple=17.998 idle_explore_seconds=0.84234 explore_probability=0.53485 mate_cooldown_seconds=9 circadian_cycle_ticks=604 num_hidden_neurons_default=15 connection_probability=0.36147 afferent_synapse_strength=1.428 firing_threshold_excitatory=0.5467 spontaneous_firing_rate=0.01891 intrinsic_timescale_default=20.331 resting_potential_decay=0.33362 sensorimotor_coupling=2.165 symmetric_stdp=True refractory_period_ticks=1 post_spike_mp_reset=0.57348 sphere_topology=sensory_association_motor cross_sphere_coupling=0.87136 cryst_capacity=1.075 free_energy_beta=1.514 learning_rate=0.01149 plasticity_threshold=0.6583 autoreceptor_coefficient=0.12891 adaptation_tau_ticks=23.805 fitness_g_weight=0.34636 intrinsic_timescale_jitter=3.833 firing_threshold_jitter=0.03031 mutation_strength=0.09002 metabolic_rate_multiplier_range=[0.7548316391526924, 1.191044186510415]",0
+31,2026-05-25T07:33:08,5.9944,80.0,80.0,31.0,39.0,62.0,53.00,0.0035,0.2724,0.9650,0.0427,0.9034,11.65,9.35,0.1283,0.4546,0.1059,0.0076,0.1237,0.0291,0.3475,0.5455,0.5667,0.0621,1.7296,9503,28808.6,,1,0,-1,"metabolic_ramp_per_sec=9.277 max_atrophy=10.583 metabolic_rate_abs_cap_multiple=42.962 idle_explore_seconds=1.586 explore_probability=0.69345 mate_cooldown_seconds=11 circadian_cycle_ticks=410 num_hidden_neurons_default=13 connection_probability=0.29144 afferent_synapse_strength=1.343 firing_threshold_excitatory=0.68295 spontaneous_firing_rate=0.01241 intrinsic_timescale_default=21.422 resting_potential_decay=0.26191 sensorimotor_coupling=1.906 symmetric_stdp=True refractory_period_ticks=11 post_spike_mp_reset=0.30219 sphere_topology=chc6 cross_sphere_coupling=0.34836 cryst_capacity=0.9696 free_energy_beta=1.214 learning_rate=0.00744 plasticity_threshold=0.35591 autoreceptor_coefficient=0.23925 adaptation_tau_ticks=22.175 fitness_g_weight=0.38865 intrinsic_timescale_jitter=5.572 firing_threshold_jitter=0.08103 mutation_strength=0.09635 metabolic_rate_multiplier_range=[0.7298540304204089, 1.572159422626548]",0
+62,2026-05-25T07:48:39,1.9408,1.0,4.0,4.0,3.0,2.0,2.50,0.3476,0.0918,1.0060,-0.0439,0.0439,371.63,416.14,1.0000,0.2657,0.1598,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,9152,6247.1,,1,0,-1,"metabolic_ramp_per_sec=3.86 max_atrophy=4.273 metabolic_rate_abs_cap_multiple=38.324 idle_explore_seconds=0.50007 explore_probability=0.50623 mate_cooldown_seconds=18 circadian_cycle_ticks=356 num_hidden_neurons_default=20 connection_probability=0.18958 afferent_synapse_strength=1.099 firing_threshold_excitatory=0.56917 spontaneous_firing_rate=0.02354 intrinsic_timescale_default=22.801 resting_potential_decay=0.17704 sensorimotor_coupling=0.06531 symmetric_stdp=True refractory_period_ticks=0 post_spike_mp_reset=0.7458 sphere_topology=sensory_association_motor cross_sphere_coupling=2.804 cryst_capacity=0.63804 free_energy_beta=1.887 learning_rate=0.01287 plasticity_threshold=0.31812 autoreceptor_coefficient=0.11891 adaptation_tau_ticks=12.55 fitness_g_weight=0.03173 intrinsic_timescale_jitter=6.127 firing_threshold_jitter=0.14675 mutation_strength=0.10396 metabolic_rate_multiplier_range=[0.7431034275367369, 1.4729346344209155]",0
+55,2026-05-25T07:53:34,3.6604,1.0,27.0,8.0,5.0,1.0,3.75,0.0018,0.0097,1.0548,-0.6649,0.9611,13.19,9.66,0.6647,0.3114,0.0188,0.0064,1.0000,0.1765,0.0000,0.5824,0.0000,0.0000,0.0000,9577,8324.0,,1,0,-1,"metabolic_ramp_per_sec=10.248 max_atrophy=5.928 metabolic_rate_abs_cap_multiple=39.88 idle_explore_seconds=0.6575 explore_probability=0.79437 mate_cooldown_seconds=17 circadian_cycle_ticks=1162 num_hidden_neurons_default=15 connection_probability=0.32812 afferent_synapse_strength=1.209 firing_threshold_excitatory=0.55291 spontaneous_firing_rate=0.01944 intrinsic_timescale_default=20.384 resting_potential_decay=0.21872 sensorimotor_coupling=0.04991 symmetric_stdp=True refractory_period_ticks=10 post_spike_mp_reset=0.1096 sphere_topology=sensory_association_motor cross_sphere_coupling=1.791 cryst_capacity=1.031 free_energy_beta=1.415 learning_rate=0.00764 plasticity_threshold=0.42307 autoreceptor_coefficient=0.22975 adaptation_tau_ticks=44.884 fitness_g_weight=0.97206 intrinsic_timescale_jitter=0.41084 firing_threshold_jitter=0.07207 mutation_strength=0.08815 metabolic_rate_multiplier_range=[0.8024660162789526, 1.1751487739143527]",0

20260524_220423/nas_top1.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t024",
+    "version": "NxonArchNAS v0.5 (v186)",
+    "description": "Architecture found by NAS \u2014 trial 24, fitness 6.1668. 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": 24,
+    "fitness": 6.1668376668139775,
+    "saved_at": "2026-05-25T07:53:34",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 15.723729510405642,
+    "_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": 5.952349458316033,
+    "_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": 44.07103104713849,
+    "_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": 19,
+    "circadian_cycle_ticks": 1078,
+    "idle_explore_seconds": 0.9340791497952028,
+    "explore_probability": 0.7671161237379265,
+    "_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": 23,
+    "_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": 0.1610091390941126,
+    "afferent_synapse_strength": 0.7056717513309463,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.4757196552826623,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.006895305634407782,
+    "intrinsic_timescale_default": 24.996054372875772,
+    "resting_potential_decay": 0.3162276460129697,
+    "sensorimotor_coupling": 2.4747816098061026,
+    "_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": 10,
+    "_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": 0.8693674843206524,
+    "_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.",
+    "sphere_topology": "chc6",
+    "cross_sphere_coupling": 1.876226226435027,
+    "cryst_capacity": 2.019981072122034,
+    "free_energy_beta": 0.6460490051954655
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.00884800198464168,
+    "plasticity_threshold": 0.32168163415069145,
+    "adaptation_tau_ticks": 34.90535490406845,
+    "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": 0.15368787849214577,
+    "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)).",
+    "fitness_g_weight": 0.5492196390853317
+  },
+  "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": [
+      0.9246854662955566,
+      1.2909638522898081
+    ],
+    "_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": 5.586000232977378,
+    "_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": 0.018213912504392974,
+    "_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": 0.14650908605682025,
+    "_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
+    ]
+  }
+}

20260524_220423/nas_top2.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t025",
+    "version": "NxonArchNAS v0.5 (v186)",
+    "description": "Architecture found by NAS \u2014 trial 25, fitness 6.1512. 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": 25,
+    "fitness": 6.151156373498873,
+    "saved_at": "2026-05-25T07:53:34",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 11.741946673311439,
+    "_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": 4.730515741423281,
+    "_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": 16.235664517872085,
+    "_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": 7,
+    "circadian_cycle_ticks": 530,
+    "idle_explore_seconds": 1.511845815405874,
+    "explore_probability": 0.5313508454322399,
+    "_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": 0.288434368253635,
+    "afferent_synapse_strength": 0.7409593789074691,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.6496429521306704,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.019910121414531207,
+    "intrinsic_timescale_default": 23.765273171819402,
+    "resting_potential_decay": 0.2272180037673779,
+    "sensorimotor_coupling": 0.8202746901398226,
+    "_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": 7,
+    "_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": 0.24373090607513836,
+    "_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.",
+    "sphere_topology": "sensory_association_motor",
+    "cross_sphere_coupling": 2.5920808032857643,
+    "cryst_capacity": 1.052494805644082,
+    "free_energy_beta": 1.643010509405293
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.011794118908253326,
+    "plasticity_threshold": 0.4534344052988599,
+    "adaptation_tau_ticks": 30.32963566371576,
+    "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": 0.2343736299863124,
+    "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)).",
+    "fitness_g_weight": 0.41494242355134514
+  },
+  "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": [
+      0.926986937788882,
+      1.3292557216953111
+    ],
+    "_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": 6.564395785484627,
+    "_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": 0.04242584749242399,
+    "_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": 0.05881226047032974,
+    "_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
+    ]
+  }
+}

20260524_220423/nas_top3.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t005",
+    "version": "NxonArchNAS v0.5 (v186)",
+    "description": "Architecture found by NAS \u2014 trial 5, fitness 6.0499. 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": 5,
+    "fitness": 6.049869044406871,
+    "saved_at": "2026-05-25T07:53:34",
+    "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": 5.966489818656127,
+    "_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": 2.3643496004056566,
+    "_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": 9.093781520367061,
+    "_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": 6,
+    "circadian_cycle_ticks": 372,
+    "idle_explore_seconds": 1.5186273493338556,
+    "explore_probability": 0.5530640686462107,
+    "_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": 0.21868253514334632,
+    "afferent_synapse_strength": 1.6865040156073539,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.6578906200761239,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.00608542277117863,
+    "intrinsic_timescale_default": 13.236101956117896,
+    "resting_potential_decay": 0.26724444457407015,
+    "sensorimotor_coupling": 0.6427104221113158,
+    "_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": 11,
+    "_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": 0.935514240580671,
+    "_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.",
+    "sphere_topology": "sensory_association_motor",
+    "cross_sphere_coupling": 0.28297738947564666,
+    "cryst_capacity": 1.8179654990293261,
+    "free_energy_beta": 0.9023058632022414
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.012569383657988703,
+    "plasticity_threshold": 0.4890684105247176,
+    "adaptation_tau_ticks": 42.29987991066574,
+    "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": 0.20692388485815066,
+    "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)).",
+    "fitness_g_weight": 0.41110227604973804
+  },
+  "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": [
+      0.9023428619293611,
+      1.0797941529776938
+    ],
+    "_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": 5.227643906126333,
+    "_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": 0.09692696269424765,
+    "_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": 0.027879647630011776,
+    "_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.",
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+      0.45
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+    "M7_zero_input_mi_ratio": [
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+      1.2
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+    "M9_transfer_ratio": [
+      0.85,
+      1.3
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+    "M10_heritability_r": [
+      0.2,
+      1.0
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+    "sensory_motor_corr": [
+      0.2,
+      1.0
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+    "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
+    ]
+  }
+}

20260524_220423/trial_000/2814893252_nxon2_430391171_1_Completed_2026-05-24T23-34-10Z.json

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+version https://git-lfs.github.com/spec/v1
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+size 81692779

20260524_220423/trial_000/nxon2_430391171__LifespanLog.txt

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+# Neuraxon Game of Life v5.01 — Per-NxEr lifespan log
+# game_id=nxon2_430391171
+# deaths=47  survivors_listed=0
+# founders_at_start=30
+# founders_still_alive_at_export=1
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
+nxer_id	birth_tick	death_tick	age_ticks	was_original	status
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20260524_220423/trial_000__arch.json

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+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-24T22:04:24"
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+}

20260524_220423/trial_001/8122857402_nxon2_024722855_1_Completed_2026-05-25T02-03-44Z.json

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+version https://git-lfs.github.com/spec/v1
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20260524_220423/trial_001/nxon2_024722855__LifespanLog.txt

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+# Neuraxon Game of Life v5.01 — Per-NxEr lifespan log
+# game_id=nxon2_024722855
+# deaths=43  survivors_listed=0
+# founders_at_start=30
+# founders_still_alive_at_export=1
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
+nxer_id	birth_tick	death_tick	age_ticks	was_original	status
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20260524_220423/trial_001__arch.json

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+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 1,
+    "sampled_at": "2026-05-24T22:04:24"
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+}

20260524_220423/trial_002/nxon2_117492643__KeyMetrics.txt

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+version https://git-lfs.github.com/spec/v1
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+size 15539700

20260524_220423/trial_002/nxon2_117492643__LifespanLog.txt

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+# Neuraxon Game of Life v5.01 — Per-NxEr lifespan log
+# game_id=nxon2_117492643
+# deaths=35  survivors_listed=3
+# founders_at_start=30
+# founders_still_alive_at_export=2
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
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20260524_220423/trial_002__arch.json

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+{
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20260524_220423/trial_003/0113300164_nxon2_729357211_1_Completed_2026-05-25T00-38-36Z.json

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20260524_220423/trial_003/nxon2_729357211__LifespanLog.txt

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+# Neuraxon Game of Life v5.01 — Per-NxEr lifespan log
+# game_id=nxon2_729357211
+# deaths=46  survivors_listed=0
+# founders_at_start=30
+# founders_still_alive_at_export=1
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
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20260524_220423/trial_003__arch.json

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+{
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