Datasets:

DavidVivancos
/

MultiNxon2NAS

+{
+  "_meta": {
+    "name": "nas_best_t011",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 11, fitness 6.7741. Plug-and-play compatible with architectures/default.json: drop this file into architectures/ or load with NEURAXON_ARCH=path/to/this.json python main.py",
+    "source": "NxonArchNAS",
+    "rank": 1,
+    "trial_id": 11,
+    "fitness": 6.774066689959202,
+    "saved_at": "2026-05-16T18:13:27",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 13.481794994220767,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 4.248563716420614,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 40.980373862024145,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 20,
+    "circadian_cycle_ticks": 1166,
+    "idle_explore_seconds": 0.8807645835869007,
+    "explore_probability": 0.493119111289626,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 7,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.17768954031382003,
+    "afferent_synapse_strength": 1.1082909270764718,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.4830040671916755,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.005049396090069643,
+    "intrinsic_timescale_default": 24.964622906431796,
+    "resting_potential_decay": 0.2592783443253449,
+    "sensorimotor_coupling": 0.7858657873030446,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 8,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.7056674467599907,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.012165897218264051,
+    "plasticity_threshold": 0.344749552235734,
+    "adaptation_tau_ticks": 37.64078495023506,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.2390101878093278,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.6521689999174818,
+      1.0698154759334568
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 2.953727876097534,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.08287876451174964,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.07587227267450034,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260516_171321/nas_log.csv ADDED Viewed

	@@ -0,0 +1,62 @@

+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
+1,2026-05-16T18:13:25,5.0028,20.0,31.0,24.0,22.0,21.0,21.75,0.2423,0.0485,1.0328,-0.3560,0.3627,19.42,3.89,1.0000,0.3892,0.0530,0.0000,0.8466,0.0302,9371,3603.3,,"metabolic_ramp_per_sec=8.079 max_atrophy=6.346 metabolic_rate_abs_cap_multiple=25.886 idle_explore_seconds=0.88195 explore_probability=0.22607 mate_cooldown_seconds=13 circadian_cycle_ticks=849 num_hidden_neurons_default=9 connection_probability=0.44193 afferent_synapse_strength=1.054 firing_threshold_excitatory=0.56561 spontaneous_firing_rate=0.04985 intrinsic_timescale_default=21.607 resting_potential_decay=0.31543 sensorimotor_coupling=1.732 symmetric_stdp=False refractory_period_ticks=0 post_spike_mp_reset=0.66126 learning_rate=0.02408 plasticity_threshold=0.69409 autoreceptor_coefficient=0.22106 adaptation_tau_ticks=44.659 intrinsic_timescale_jitter=6.673 firing_threshold_jitter=0.0244 mutation_strength=0.06619 metabolic_rate_multiplier_range=[0.7330441787637081, 1.2993756663026397]",1
+4,2026-05-16T18:13:25,4.3753,21.0,29.0,26.0,24.0,22.0,23.25,0.2674,0.0731,0.9118,0.0000,0.0000,1.99,2.07,1.0000,0.4031,0.0866,0.0000,0.0000,0.0000,9612,3603.3,,"metabolic_ramp_per_sec=13.532 max_atrophy=10.703 metabolic_rate_abs_cap_multiple=35.922 idle_explore_seconds=0.88702 explore_probability=0.58458 mate_cooldown_seconds=7 circadian_cycle_ticks=600 num_hidden_neurons_default=19 connection_probability=0.19745 afferent_synapse_strength=0.60389 firing_threshold_excitatory=0.61663 spontaneous_firing_rate=0.03677 intrinsic_timescale_default=29.382 resting_potential_decay=0.29049 sensorimotor_coupling=1.523 symmetric_stdp=False refractory_period_ticks=10 post_spike_mp_reset=0.29844 learning_rate=0.01564 plasticity_threshold=0.54359 autoreceptor_coefficient=0.08057 adaptation_tau_ticks=40.5 intrinsic_timescale_jitter=4.243 firing_threshold_jitter=9e-05 mutation_strength=0.06214 metabolic_rate_multiplier_range=[0.788782660541869, 1.478244563246807]",0
+5,2026-05-16T18:13:25,6.0580,16.0,21.0,19.0,16.0,16.0,16.75,0.2585,0.0637,1.1652,-0.1012,0.8044,2.76,2.18,1.0000,0.3865,0.0459,0.0000,0.7794,0.0448,9539,3603.3,,"metabolic_ramp_per_sec=2.312 max_atrophy=14.043 metabolic_rate_abs_cap_multiple=53.694 idle_explore_seconds=2.13 explore_probability=0.38451 mate_cooldown_seconds=6 circadian_cycle_ticks=546 num_hidden_neurons_default=24 connection_probability=0.43408 afferent_synapse_strength=0.70278 firing_threshold_excitatory=0.5458 spontaneous_firing_rate=0.00606 intrinsic_timescale_default=24.733 resting_potential_decay=0.29146 sensorimotor_coupling=0.38517 symmetric_stdp=True refractory_period_ticks=8 post_spike_mp_reset=0.16513 learning_rate=0.01093 plasticity_threshold=0.54264 autoreceptor_coefficient=0.24287 adaptation_tau_ticks=47.157 intrinsic_timescale_jitter=5.704 firing_threshold_jitter=0.05985 mutation_strength=0.10732 metabolic_rate_multiplier_range=[0.8643428188225319, 1.4294271976547919]",1
+7,2026-05-16T18:13:25,5.0975,18.0,32.0,24.0,22.0,18.0,20.50,0.3227,0.0941,0.9811,-0.3576,0.7181,1.98,2.11,1.0000,0.3946,0.0678,0.0000,0.7009,0.0262,9669,3603.6,,"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
+6,2026-05-16T18:13:25,3.6448,3.0,12.0,7.0,5.0,4.0,4.75,0.2308,0.0255,0.9776,0.2876,0.3268,2.19,2.01,1.0000,0.2181,0.0495,0.0000,0.0000,0.0000,9473,3603.6,,"metabolic_ramp_per_sec=7.975 max_atrophy=13.645 metabolic_rate_abs_cap_multiple=31.477 idle_explore_seconds=0.84539 explore_probability=0.23842 mate_cooldown_seconds=6 circadian_cycle_ticks=902 num_hidden_neurons_default=23 connection_probability=0.21903 afferent_synapse_strength=0.86426 firing_threshold_excitatory=0.4213 spontaneous_firing_rate=0.02877 intrinsic_timescale_default=13.037 resting_potential_decay=0.32636 sensorimotor_coupling=2.579 symmetric_stdp=False refractory_period_ticks=8 post_spike_mp_reset=0.238 learning_rate=0.01723 plasticity_threshold=0.38569 autoreceptor_coefficient=0.07646 adaptation_tau_ticks=47.421 intrinsic_timescale_jitter=6.277 firing_threshold_jitter=0.12112 mutation_strength=0.04475 metabolic_rate_multiplier_range=[0.7998650826638496, 1.309969064471487]",0
+16,2026-05-16T18:13:25,5.9412,22.0,32.0,30.0,28.0,22.0,25.50,0.1867,0.0986,1.0012,0.0761,0.6152,2.11,2.18,1.0000,0.4033,0.0744,0.0000,0.3470,0.0033,9428,3603.5,,"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
+9,2026-05-16T18:13:25,6.0934,21.0,32.0,28.0,26.0,23.0,24.50,0.2613,0.0618,1.0062,-0.5775,0.8841,1.98,2.84,1.0000,0.3987,0.0786,0.0000,0.7845,0.0424,9252,3603.7,,"metabolic_ramp_per_sec=2.91 max_atrophy=8.356 metabolic_rate_abs_cap_multiple=52.27 idle_explore_seconds=0.45075 explore_probability=0.24078 mate_cooldown_seconds=19 circadian_cycle_ticks=540 num_hidden_neurons_default=18 connection_probability=0.18597 afferent_synapse_strength=1.668 firing_threshold_excitatory=0.47386 spontaneous_firing_rate=0.02599 intrinsic_timescale_default=21.626 resting_potential_decay=0.20481 sensorimotor_coupling=1.751 symmetric_stdp=True refractory_period_ticks=4 post_spike_mp_reset=0.20426 learning_rate=0.02006 plasticity_threshold=0.39547 autoreceptor_coefficient=0.12916 adaptation_tau_ticks=36.868 intrinsic_timescale_jitter=6.015 firing_threshold_jitter=0.01088 mutation_strength=0.07958 metabolic_rate_multiplier_range=[0.7049989779295668, 1.2238974579495199]",1
+3,2026-05-16T18:13:25,5.6061,19.0,30.0,24.0,21.0,19.0,20.75,0.2348,0.0802,1.0815,-0.5089,0.7885,10.11,1.86,1.0000,0.3930,0.0485,0.0000,1.0000,0.0199,9167,3603.9,,"metabolic_ramp_per_sec=12.286 max_atrophy=3.429 metabolic_rate_abs_cap_multiple=15.261 idle_explore_seconds=1.939 explore_probability=0.52339 mate_cooldown_seconds=17 circadian_cycle_ticks=898 num_hidden_neurons_default=19 connection_probability=0.41935 afferent_synapse_strength=1.079 firing_threshold_excitatory=0.4658 spontaneous_firing_rate=0.07946 intrinsic_timescale_default=19.21 resting_potential_decay=0.12273 sensorimotor_coupling=0.14135 symmetric_stdp=False refractory_period_ticks=2 post_spike_mp_reset=0.62745 learning_rate=0.0256 plasticity_threshold=0.46886 autoreceptor_coefficient=0.06271 adaptation_tau_ticks=25.265 intrinsic_timescale_jitter=7.769 firing_threshold_jitter=0.12912 mutation_strength=0.02149 metabolic_rate_multiplier_range=[0.9486424830840339, 1.3410128898045255]",0
+2,2026-05-16T18:13:26,5.3774,14.0,32.0,30.0,24.0,20.0,22.00,0.2363,0.0429,0.9414,-0.0531,0.5201,2.12,2.05,1.0000,0.4487,0.1384,0.0000,0.9949,0.0059,9900,3604.1,,"metabolic_ramp_per_sec=12.723 max_atrophy=10.975 metabolic_rate_abs_cap_multiple=43.544 idle_explore_seconds=0.45709 explore_probability=0.58099 mate_cooldown_seconds=14 circadian_cycle_ticks=1046 num_hidden_neurons_default=13 connection_probability=0.19902 afferent_synapse_strength=1.055 firing_threshold_excitatory=0.69686 spontaneous_firing_rate=0.02949 intrinsic_timescale_default=20.253 resting_potential_decay=0.27115 sensorimotor_coupling=2.529 symmetric_stdp=False refractory_period_ticks=3 post_spike_mp_reset=0.8218 learning_rate=0.0267 plasticity_threshold=0.46047 autoreceptor_coefficient=0.06324 adaptation_tau_ticks=46.525 intrinsic_timescale_jitter=1.701 firing_threshold_jitter=0.07488 mutation_strength=0.13501 metabolic_rate_multiplier_range=[0.7985130180174758, 1.4448528488954369]",0
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+27,2026-05-16T18:13:26,5.8082,22.0,31.0,29.0,26.0,25.0,25.50,0.2617,0.0727,1.0945,-0.8105,0.8597,2.09,2.10,1.0000,0.4052,0.0657,0.0000,0.0000,0.0000,9377,3604.1,,"metabolic_ramp_per_sec=12.001 max_atrophy=10.426 metabolic_rate_abs_cap_multiple=56.551 idle_explore_seconds=1.235 explore_probability=0.52674 mate_cooldown_seconds=16 circadian_cycle_ticks=452 num_hidden_neurons_default=14 connection_probability=0.39799 afferent_synapse_strength=0.68569 firing_threshold_excitatory=0.44978 spontaneous_firing_rate=0.01173 intrinsic_timescale_default=24.477 resting_potential_decay=0.2423 sensorimotor_coupling=0.86583 symmetric_stdp=False refractory_period_ticks=7 post_spike_mp_reset=0.68868 learning_rate=0.01902 plasticity_threshold=0.67707 autoreceptor_coefficient=0.15009 adaptation_tau_ticks=29.752 intrinsic_timescale_jitter=3.456 firing_threshold_jitter=0.04835 mutation_strength=0.05255 metabolic_rate_multiplier_range=[0.6281546481647553, 1.0719234313009873]",0
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+48,2026-05-16T19:13:33,5.3644,22.0,32.0,30.0,24.0,24.0,25.00,0.2780,0.0620,0.9878,-0.3187,0.6509,2.09,2.06,1.0000,0.4038,0.0532,0.0000,0.0000,0.0000,9263,3606.1,,"metabolic_ramp_per_sec=11.271 max_atrophy=10.695 metabolic_rate_abs_cap_multiple=53.867 idle_explore_seconds=1.715 explore_probability=0.79192 mate_cooldown_seconds=11 circadian_cycle_ticks=1184 num_hidden_neurons_default=16 connection_probability=0.19529 afferent_synapse_strength=0.68194 firing_threshold_excitatory=0.53266 spontaneous_firing_rate=0.01158 intrinsic_timescale_default=14.043 resting_potential_decay=0.11404 sensorimotor_coupling=1.522 symmetric_stdp=True refractory_period_ticks=7 post_spike_mp_reset=0.45191 learning_rate=0.0024 plasticity_threshold=0.63268 autoreceptor_coefficient=0.06535 adaptation_tau_ticks=44.57 intrinsic_timescale_jitter=4.057 firing_threshold_jitter=0.06941 mutation_strength=0.09206 metabolic_rate_multiplier_range=[0.8993526800096316, 1.3882546136285656]",0
+43,2026-05-16T19:13:33,4.1956,9.0,34.0,21.0,16.0,12.0,14.50,0.2464,0.0302,1.0114,0.1401,0.2975,2.00,2.22,1.0000,0.4230,0.1061,0.0000,1.0000,0.0275,9464,3606.8,,"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
+47,2026-05-16T19:13:33,6.5056,27.0,35.0,30.0,29.0,28.0,28.50,0.2796,0.0879,0.9635,-0.1033,0.7915,2.11,2.17,0.9984,0.3931,0.0699,0.0000,0.9500,0.0775,8527,3606.9,,"metabolic_ramp_per_sec=10.383 max_atrophy=6.843 metabolic_rate_abs_cap_multiple=24.134 idle_explore_seconds=1.047 explore_probability=0.39984 mate_cooldown_seconds=8 circadian_cycle_ticks=378 num_hidden_neurons_default=22 connection_probability=0.33997 afferent_synapse_strength=1.237 firing_threshold_excitatory=0.45817 spontaneous_firing_rate=0.04302 intrinsic_timescale_default=15.724 resting_potential_decay=0.33956 sensorimotor_coupling=1.936 symmetric_stdp=False refractory_period_ticks=3 post_spike_mp_reset=0.1028 learning_rate=0.00456 plasticity_threshold=0.3694 autoreceptor_coefficient=0.08057 adaptation_tau_ticks=40.366 intrinsic_timescale_jitter=5.024 firing_threshold_jitter=0.06959 mutation_strength=0.09329 metabolic_rate_multiplier_range=[0.6263736457526768, 1.5732106773187702]",0
+54,2026-05-16T19:13:33,2.9074,18.0,26.0,19.0,19.0,19.0,18.75,0.2259,0.0720,0.9616,0.1533,0.1627,187.73,27.94,1.0000,0.4000,0.0696,0.0000,0.0000,0.0000,9314,3606.4,,"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
+60,2026-05-16T19:13:33,4.9532,16.0,28.0,21.0,19.0,18.0,18.50,0.1992,0.0370,0.9791,0.1955,0.2840,1.89,1.95,1.0000,0.3870,0.0474,0.0000,0.9901,0.1365,9878,3606.0,,"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
+58,2026-05-16T19:13:34,5.1046,16.0,26.0,23.0,18.0,16.0,18.25,0.2488,0.0549,0.9942,-0.1649,0.3520,1.95,3.24,1.0000,0.3898,0.0575,0.0000,0.6814,0.0499,9768,3606.0,,"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
+56,2026-05-16T19:13:34,3.8217,20.0,30.0,26.0,22.0,21.0,22.25,0.2793,0.0961,1.0523,0.0000,0.0000,44.14,2.32,1.0000,0.3961,0.0688,0.0000,0.0728,0.0023,9276,3606.0,,"metabolic_ramp_per_sec=11.31 max_atrophy=11.715 metabolic_rate_abs_cap_multiple=14.937 idle_explore_seconds=1.075 explore_probability=0.40313 mate_cooldown_seconds=16 circadian_cycle_ticks=479 num_hidden_neurons_default=20 connection_probability=0.44425 afferent_synapse_strength=1.174 firing_threshold_excitatory=0.45468 spontaneous_firing_rate=0.00727 intrinsic_timescale_default=23.753 resting_potential_decay=0.3359 sensorimotor_coupling=0.11095 symmetric_stdp=False refractory_period_ticks=0 post_spike_mp_reset=0.79111 learning_rate=0.03462 plasticity_threshold=0.42624 autoreceptor_coefficient=0.11202 adaptation_tau_ticks=25.929 intrinsic_timescale_jitter=0.29297 firing_threshold_jitter=0.09704 mutation_strength=0.05719 metabolic_rate_multiplier_range=[0.8853921282295938, 1.3103698722222639]",0
+57,2026-05-16T19:13:34,4.5382,19.0,33.0,26.0,20.0,19.0,21.00,0.3203,0.0999,0.9836,-0.5814,0.5938,17.44,2.53,1.0000,0.4035,0.0815,0.0000,0.9272,0.0576,9285,3606.1,,"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
+53,2026-05-16T19:13:34,5.5714,18.0,31.0,30.0,28.0,22.0,24.50,0.3088,0.0918,1.0131,-0.1844,0.7738,14.29,2.02,1.0000,0.4141,0.0438,0.0000,1.0000,0.0614,9173,3606.7,,"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
+45,2026-05-16T19:13:34,5.3474,16.0,33.0,24.0,24.0,20.0,21.00,0.2495,0.0500,1.0594,0.3493,0.6452,1.97,2.05,0.9989,0.4431,0.0448,0.0053,1.0000,0.0353,9002,3607.4,,"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
+50,2026-05-16T19:13:34,4.4133,8.0,26.0,22.0,13.0,11.0,13.50,0.2676,0.0329,1.0594,0.0373,0.2614,2.43,10.35,1.0000,0.4546,0.1235,0.0000,1.0000,0.0562,9635,3606.9,,"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
+59,2026-05-16T19:13:34,5.8164,21.0,31.0,27.0,25.0,23.0,24.00,0.2666,0.0913,0.9022,0.5140,0.8958,28.49,2.26,0.9927,0.3879,0.0514,-0.0037,0.8171,0.0857,9324,3606.8,,"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
+55,2026-05-16T19:13:35,4.2075,11.0,25.0,20.0,14.0,13.0,14.50,0.3439,0.0565,0.9429,-0.1747,0.2850,2.17,2.29,1.0000,0.3909,0.0515,0.0000,0.7734,0.0289,9973,3607.1,,"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
+61,2026-05-16T19:13:36,4.7790,14.0,23.0,19.0,15.0,15.0,15.75,0.2104,0.1100,0.9631,-0.4104,0.5050,2.19,2.14,1.0000,0.4044,0.0431,0.0000,0.0000,0.0000,9750,3606.7,,"metabolic_ramp_per_sec=16.148 max_atrophy=2.388 metabolic_rate_abs_cap_multiple=28.704 idle_explore_seconds=1.877 explore_probability=0.4872 mate_cooldown_seconds=12 circadian_cycle_ticks=1087 num_hidden_neurons_default=19 connection_probability=0.397 afferent_synapse_strength=0.6885 firing_threshold_excitatory=0.69171 spontaneous_firing_rate=0.02968 intrinsic_timescale_default=17.899 resting_potential_decay=0.27003 sensorimotor_coupling=1.034 symmetric_stdp=False refractory_period_ticks=12 post_spike_mp_reset=0.96626 learning_rate=0.00805 plasticity_threshold=0.66428 autoreceptor_coefficient=0.06108 adaptation_tau_ticks=14.966 intrinsic_timescale_jitter=2.581 firing_threshold_jitter=0.1064 mutation_strength=0.06498 metabolic_rate_multiplier_range=[0.6535554133835701, 1.1405613939395682]",0

20260516_171321/nas_top1.json ADDED Viewed

	@@ -0,0 +1,149 @@

+{
+  "_meta": {
+    "name": "nas_best_t011",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 11, fitness 6.7741. Plug-and-play compatible with architectures/default.json: drop this file into architectures/ or load with NEURAXON_ARCH=path/to/this.json python main.py",
+    "source": "NxonArchNAS",
+    "rank": 1,
+    "trial_id": 11,
+    "fitness": 6.774066689959202,
+    "saved_at": "2026-05-16T19:13:36",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 13.481794994220767,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 4.248563716420614,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 40.980373862024145,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 20,
+    "circadian_cycle_ticks": 1166,
+    "idle_explore_seconds": 0.8807645835869007,
+    "explore_probability": 0.493119111289626,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 7,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.17768954031382003,
+    "afferent_synapse_strength": 1.1082909270764718,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.4830040671916755,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.005049396090069643,
+    "intrinsic_timescale_default": 24.964622906431796,
+    "resting_potential_decay": 0.2592783443253449,
+    "sensorimotor_coupling": 0.7858657873030446,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 8,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.7056674467599907,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.012165897218264051,
+    "plasticity_threshold": 0.344749552235734,
+    "adaptation_tau_ticks": 37.64078495023506,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.2390101878093278,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.6521689999174818,
+      1.0698154759334568
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 2.953727876097534,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.08287876451174964,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.07587227267450034,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260516_171321/nas_top2.json ADDED Viewed

	@@ -0,0 +1,149 @@

+{
+  "_meta": {
+    "name": "nas_best_t047",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 47, fitness 6.5056. 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": 47,
+    "fitness": 6.5056240519426005,
+    "saved_at": "2026-05-16T19:13:36",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 10.383400688010106,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 6.842850407600995,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 24.134277215464788,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 8,
+    "circadian_cycle_ticks": 378,
+    "idle_explore_seconds": 1.0469292185266206,
+    "explore_probability": 0.3998411734958792,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 22,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.33996740009045595,
+    "afferent_synapse_strength": 1.236725784927178,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.4581711118800701,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.04301717897440303,
+    "intrinsic_timescale_default": 15.724194169061931,
+    "resting_potential_decay": 0.33955583724928756,
+    "sensorimotor_coupling": 1.9363289285086913,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": false,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 3,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.10280452777776283,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.004558880560617684,
+    "plasticity_threshold": 0.3693996089768379,
+    "adaptation_tau_ticks": 40.366095201822816,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.08057395780118598,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.6263736457526768,
+      1.5732106773187702
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 5.023590176946939,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.06959296027695293,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.09328561282742046,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260516_171321/nas_top3.json ADDED Viewed

	@@ -0,0 +1,149 @@

+{
+  "_meta": {
+    "name": "nas_best_t017",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 17, fitness 6.4462. 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": 17,
+    "fitness": 6.4462059625044725,
+    "saved_at": "2026-05-16T19:13:36",
+    "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": 9.432798153188035,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 9.024978219450837,
+    "_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": 55.708440751682886,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 13,
+    "circadian_cycle_ticks": 983,
+    "idle_explore_seconds": 0.5669889182166457,
+    "explore_probability": 0.28000346333421733,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 22,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.4463677359199344,
+    "afferent_synapse_strength": 1.3145427821633038,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.6850118825329468,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.0592043714395619,
+    "intrinsic_timescale_default": 21.478351100758783,
+    "resting_potential_decay": 0.27981849031899175,
+    "sensorimotor_coupling": 1.5143344944732058,
+    "_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": 2,
+    "_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": 0.7436554421595849,
+    "_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": 0.009217144200365531,
+    "plasticity_threshold": 0.40367661938600774,
+    "adaptation_tau_ticks": 35.50645747104625,
+    "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": 0.09944794750193192,
+    "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": [
+      0.8680347895040079,
+      1.3367148970553901
+    ],
+    "_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": 5.01398749585425,
+    "_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": 0.041189617037630744,
+    "_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": 0.030072836002415657,
+    "_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_171321/trial_000/nxon2_430391171__BestFitness.json ADDED Viewed