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20260514_122048/nas_best.json

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+{
+  "_meta": {
+    "name": "nas_best_t009",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 9, fitness 6.6326. 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": 9,
+    "fitness": 6.632645016209976,
+    "saved_at": "2026-05-14T12:50:51",
+    "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": 15.834406304483448,
+    "_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": 13.682978684392406,
+    "_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": 16.5611303128794,
+    "_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": 1102,
+    "idle_explore_seconds": 0.3047418323731381,
+    "explore_probability": 0.4342530545526879,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 20,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.2355747686840761,
+    "afferent_synapse_strength": 1.435909804320195,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.6191515952246398,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.04387642903027197,
+    "intrinsic_timescale_default": 22.561168862916396,
+    "resting_potential_decay": 0.22166785291358237,
+    "sensorimotor_coupling": 0.5696936018029114,
+    "_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.",
+    "_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": 0.00403053587876747,
+    "plasticity_threshold": 0.3233933168029198,
+    "adaptation_tau_ticks": 12.438302859060633,
+    "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": 0.1971474357578087,
+    "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": [
+      0.7097616834194052,
+      1.0775782854951745
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 3.814308136871479,
+    "_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": 0.13790806962481128,
+    "_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": 0.08904639758517037,
+    "_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
+    ]
+  }
+}

20260514_122048/nas_top1.json

@@ -0,0 +1,143 @@
+{
+  "_meta": {
+    "name": "nas_best_t009",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 9, fitness 6.6326. 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": 9,
+    "fitness": 6.632645016209976,
+    "saved_at": "2026-05-14T14:21:03",
+    "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": 15.834406304483448,
+    "_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": 13.682978684392406,
+    "_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": 16.5611303128794,
+    "_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": 1102,
+    "idle_explore_seconds": 0.3047418323731381,
+    "explore_probability": 0.4342530545526879,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 20,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.2355747686840761,
+    "afferent_synapse_strength": 1.435909804320195,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.6191515952246398,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.04387642903027197,
+    "intrinsic_timescale_default": 22.561168862916396,
+    "resting_potential_decay": 0.22166785291358237,
+    "sensorimotor_coupling": 0.5696936018029114,
+    "_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.",
+    "_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": 0.00403053587876747,
+    "plasticity_threshold": 0.3233933168029198,
+    "adaptation_tau_ticks": 12.438302859060633,
+    "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": 0.1971474357578087,
+    "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": [
+      0.7097616834194052,
+      1.0775782854951745
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 3.814308136871479,
+    "_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": 0.13790806962481128,
+    "_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": 0.08904639758517037,
+    "_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
+    ]
+  }
+}

20260514_122048/nas_top2.json

@@ -0,0 +1,143 @@
+{
+  "_meta": {
+    "name": "nas_best_t118",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 118, fitness 6.3083. 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": 118,
+    "fitness": 6.308325796501194,
+    "saved_at": "2026-05-14T14:21:03",
+    "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": 7.4019133856928345,
+    "_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": 15.0,
+    "_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": 10.142103783132773,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 16,
+    "circadian_cycle_ticks": 1089,
+    "idle_explore_seconds": 2.200318621564073,
+    "explore_probability": 0.24873371293602195,
+    "_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": 24,
+    "_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": 0.22939677234991634,
+    "afferent_synapse_strength": 0.8529700556423574,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5716411607338192,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.02774896006580356,
+    "intrinsic_timescale_default": 8.666289768791476,
+    "resting_potential_decay": 0.3222492203622386,
+    "sensorimotor_coupling": 1.5646697604708693,
+    "_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.",
+    "_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": 0.015789845379247564,
+    "plasticity_threshold": 0.420837645181849,
+    "adaptation_tau_ticks": 42.293972577151905,
+    "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": 0.09897558212978862,
+    "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": [
+      0.7421323843605954,
+      1.2994492731253442
+    ],
+    "_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": 5.508908573383869,
+    "_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": 0.023712067052281075,
+    "_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": 0.07403082700783496,
+    "_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
+    ]
+  }
+}

20260514_122048/nas_top3.json

@@ -0,0 +1,143 @@
+{
+  "_meta": {
+    "name": "nas_best_t039",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 39, fitness 6.2784. 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": 39,
+    "fitness": 6.278353665102243,
+    "saved_at": "2026-05-14T14:21:03",
+    "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": 5.1874719857422775,
+    "_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": 6.6933588610591634,
+    "_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": 33.126819175079234,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 15,
+    "circadian_cycle_ticks": 602,
+    "idle_explore_seconds": 0.8218525442406641,
+    "explore_probability": 0.5431536154104434,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 15,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.1565818793578695,
+    "afferent_synapse_strength": 1.596045073791413,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5187417222734102,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.005113531395521681,
+    "intrinsic_timescale_default": 27.03148274933985,
+    "resting_potential_decay": 0.2945779039425195,
+    "sensorimotor_coupling": 2.9208084504837744,
+    "_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.",
+    "_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": 0.03749884297874454,
+    "plasticity_threshold": 0.5980688616535881,
+    "adaptation_tau_ticks": 46.117396737991015,
+    "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": 0.21656777993463766,
+    "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": [
+      0.8715093428611833,
+      1.176565115033729
+    ],
+    "_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": 6.4154556603623005,
+    "_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": 0.032850680839215815,
+    "_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": 0.044717158606021476,
+    "_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
+    ]
+  }
+}

20260514_122048/trial_000__arch.json

@@ -0,0 +1,42 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-14T12:20:48"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 12.23082877532614,
+    "max_atrophy": 1.8376451955060036,
+    "metabolic_rate_abs_cap_multiple": 22.301524555194202,
+    "idle_explore_seconds": 0.79106362392741,
+    "explore_probability": 0.6418827284984074,
+    "mate_cooldown_seconds": 16,
+    "circadian_cycle_ticks": 1058
+  },
+  "neural": {
+    "num_hidden_neurons_default": 23,
+    "connection_probability": 0.17608164978882485,
+    "afferent_synapse_strength": 1.1063061836223245,
+    "firing_threshold_excitatory": 0.40893916583142115,
+    "spontaneous_firing_rate": 0.009167192661639309,
+    "intrinsic_timescale_default": 19.117816338273972,
+    "resting_potential_decay": 0.10663399242096591,
+    "sensorimotor_coupling": 0.5965129520599455
+  },
+  "operating_ranges": {
+    "learning_rate": 0.016200538562532417,
+    "plasticity_threshold": 0.5179765922412867,
+    "autoreceptor_coefficient": 0.09408812440813935,
+    "adaptation_tau_ticks": 33.57062735503635
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 6.446554014662463,
+    "firing_threshold_jitter": 0.10472090924823403,
+    "mutation_strength": 0.06423256714733895,
+    "metabolic_rate_multiplier_range": [
+      0.8833006598372393,
+      1.0535743178229335
+    ]
+  }
+}

20260514_122048/trial_001__arch.json

@@ -0,0 +1,42 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 1,
+    "sampled_at": "2026-05-14T12:20:48"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 4.487671996988505,
+    "max_atrophy": 14.422376474791546,
+    "metabolic_rate_abs_cap_multiple": 25.50291634585659,
+    "idle_explore_seconds": 0.5040408554363254,
+    "explore_probability": 0.2580298261000784,
+    "mate_cooldown_seconds": 19,
+    "circadian_cycle_ticks": 652
+  },
+  "neural": {
+    "num_hidden_neurons_default": 14,
+    "connection_probability": 0.39213848198231405,
+    "afferent_synapse_strength": 1.4756781440325817,
+    "firing_threshold_excitatory": 0.5608684274364102,
+    "spontaneous_firing_rate": 0.07425370720156721,
+    "intrinsic_timescale_default": 16.32775629858378,
+    "resting_potential_decay": 0.23801015781830673,
+    "sensorimotor_coupling": 2.4882139927589844
+  },
+  "operating_ranges": {
+    "learning_rate": 0.014644801977052608,
+    "plasticity_threshold": 0.6446827601243108,
+    "autoreceptor_coefficient": 0.1654704290513524,
+    "adaptation_tau_ticks": 38.182873448596936
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 2.3151037088168573,
+    "firing_threshold_jitter": 0.011968796538544125,
+    "mutation_strength": 0.050262815226933925,
+    "metabolic_rate_multiplier_range": [
+      0.6160385342794817,
+      1.1753440516083509
+    ]
+  }
+}

20260514_122048/trial_002__arch.json

@@ -0,0 +1,42 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 2,
+    "sampled_at": "2026-05-14T12:20:48"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 3.616022870555666,
+    "max_atrophy": 5.252643641986244,
+    "metabolic_rate_abs_cap_multiple": 41.05559110174881,
+    "idle_explore_seconds": 1.1026307937341855,
+    "explore_probability": 0.42210858027012965,
+    "mate_cooldown_seconds": 9,
+    "circadian_cycle_ticks": 986
+  },
+  "neural": {
+    "num_hidden_neurons_default": 14,
+    "connection_probability": 0.36054609403756543,
+    "afferent_synapse_strength": 1.4202571986440007,
+    "firing_threshold_excitatory": 0.4214207528735645,
+    "spontaneous_firing_rate": 0.02907769987725088,
+    "intrinsic_timescale_default": 19.751077294653577,
+    "resting_potential_decay": 0.16120273128785656,
+    "sensorimotor_coupling": 1.3867806355533472
+  },
+  "operating_ranges": {
+    "learning_rate": 0.004768709456836563,
+    "plasticity_threshold": 0.670156471848487,
+    "autoreceptor_coefficient": 0.18763239168666263,
+    "adaptation_tau_ticks": 18.78460695881076
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 0.4475035803942715,
+    "firing_threshold_jitter": 0.12327038910102124,
+    "mutation_strength": 0.12465595410025787,
+    "metabolic_rate_multiplier_range": [
+      0.7134989570453626,
+      1.4725724676758047
+    ]
+  }
+}

20260514_122048/trial_003__arch.json

@@ -0,0 +1,42 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 3,
+    "sampled_at": "2026-05-14T12:20:48"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 8.418636592357263,
+    "max_atrophy": 2.393546170355888,
+    "metabolic_rate_abs_cap_multiple": 55.48307845764834,
+    "idle_explore_seconds": 1.5477961132527052,
+    "explore_probability": 0.6307485624313857,
+    "mate_cooldown_seconds": 9,
+    "circadian_cycle_ticks": 971
+  },
+  "neural": {
+    "num_hidden_neurons_default": 21,
+    "connection_probability": 0.2686895703181993,
+    "afferent_synapse_strength": 1.6974571076886522,
+    "firing_threshold_excitatory": 0.5376555557762196,
+    "spontaneous_firing_rate": 0.010421194601500379,
+    "intrinsic_timescale_default": 13.425805169267637,
+    "resting_potential_decay": 0.24034203354078768,
+    "sensorimotor_coupling": 0.7882248255688058
+  },
+  "operating_ranges": {
+    "learning_rate": 0.013129438097030611,
+    "plasticity_threshold": 0.6591291534409908,
+    "autoreceptor_coefficient": 0.12988010102807945,
+    "adaptation_tau_ticks": 18.772830366291334
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 0.7272752973903511,
+    "firing_threshold_jitter": 0.007067456313710185,
+    "mutation_strength": 0.03425438694558569,
+    "metabolic_rate_multiplier_range": [
+      0.9491381622732886,
+      1.3302394615220556
+    ]
+  }
+}

20260514_122048/trial_004/nxon2_118604665__MembraneDiag.txt

@@ -0,0 +1,230 @@
+# Neuraxon Game of Life v4.76 — Membrane diagnostics
+# game_id=nxon2_118604665
+# rows=225
+# sampled every 100 ticks, first 3 input neurons of first 3 alive NxErs each sample
+tick	nxer_id	neuron_id	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+0	12	0	-0.023704	0.203957	0.030896	1	0.100000	0	0.000000
+0	12	1	-0.633007	0.188331	0.034978	-1	0.100000	0	0.000000
+0	12	2	-1.761041	0.298617	0.036219	-1	0.100000	0	0.000000
+0	13	0	0.131381	0.270617	0.031426	-1	0.100000	0	0.000000
+0	13	1	0.357487	0.232981	0.044697	-1	0.100000	0	0.000000
+0	13	2	-1.023261	0.249212	0.033568	-1	0.100000	0	0.000000
+0	14	0	1.068031	0.272558	0.032549	1	0.096581	0	0.000000
+0	14	1	0.257974	0.277379	0.038434	-1	0.096581	0	0.000000
+0	14	2	-1.745252	0.195500	0.024658	-1	0.096581	0	0.000000
+100	12	0	-0.023704	0.203957	0.030896	1	0.100000	0	0.000000
+100	12	1	-0.633007	0.188331	0.034978	-1	0.100000	0	0.000000
+100	12	2	-1.761041	0.298617	0.036219	-1	0.100000	0	0.000000
+100	13	0	0.131381	0.270617	0.031426	-1	0.100000	0	0.000000
+100	13	1	0.357487	0.232981	0.044697	-1	0.100000	0	0.000000
+100	13	2	-1.023261	0.249212	0.033568	-1	0.100000	0	0.000000
+100	14	0	1.068031	0.272558	0.032549	1	0.096581	0	0.000000
+100	14	1	0.257974	0.277379	0.038434	-1	0.096581	0	0.000000
+100	14	2	-1.745252	0.195500	0.024658	-1	0.096581	0	0.000000
+200	12	0	-0.023704	0.203957	0.030896	1	0.100000	0	0.000000
+200	12	1	-0.633007	0.188331	0.034978	-1	0.100000	0	0.000000
+200	12	2	-1.761041	0.298617	0.036219	-1	0.100000	0	0.000000
+200	13	0	0.131381	0.270617	0.031426	-1	0.100000	0	0.000000
+200	13	1	0.357487	0.232981	0.044697	-1	0.100000	0	0.000000
+200	13	2	-1.023261	0.249212	0.033568	-1	0.100000	0	0.000000
+200	14	0	1.068031	0.272558	0.032549	1	0.096581	0	0.000000
+200	14	1	0.257974	0.277379	0.038434	-1	0.096581	0	0.000000
+200	14	2	-1.745252	0.195500	0.024658	-1	0.096581	0	0.000000
+300	12	0	-0.023704	0.203957	0.030896	1	0.100000	0	0.000000
+300	12	1	-0.633007	0.188331	0.034978	-1	0.100000	0	0.000000
+300	12	2	-1.761041	0.298617	0.036219	-1	0.100000	0	0.000000
+300	13	0	0.131381	0.270617	0.031426	-1	0.100000	0	0.000000
+300	13	1	0.357487	0.232981	0.044697	-1	0.100000	0	0.000000
+300	13	2	-1.023261	0.249212	0.033568	-1	0.100000	0	0.000000
+300	14	0	1.068031	0.272558	0.032549	1	0.096581	0	0.000000
+300	14	1	0.257974	0.277379	0.038434	-1	0.096581	0	0.000000
+300	14	2	-1.745252	0.195500	0.024658	-1	0.096581	0	0.000000
+400	12	0	-0.023704	0.203957	0.030896	1	0.100000	0	0.000000
+400	12	1	-0.633007	0.188331	0.034978	-1	0.100000	0	0.000000
+400	12	2	-1.761041	0.298617	0.036219	-1	0.100000	0	0.000000
+400	13	0	0.131381	0.270617	0.031426	-1	0.100000	0	0.000000
+400	13	1	0.357487	0.232981	0.044697	-1	0.100000	0	0.000000
+400	13	2	-1.023261	0.249212	0.033568	-1	0.100000	0	0.000000
+400	14	0	1.068031	0.272558	0.032549	1	0.096581	0	0.000000
+400	14	1	0.257974	0.277379	0.038434	-1	0.096581	0	0.000000
+400	14	2	-1.745252	0.195500	0.024658	-1	0.096581	0	0.000000
+500	12	0	-0.023704	0.203957	0.030896	1	0.100000	0	0.000000
+500	12	1	-0.633007	0.188331	0.034978	-1	0.100000	0	0.000000
+500	12	2	-1.761041	0.298617	0.036219	-1	0.100000	0	0.000000
+500	13	0	0.131381	0.270617	0.031426	-1	0.100000	0	0.000000
+500	13	1	0.357487	0.232981	0.044697	-1	0.100000	0	0.000000
+500	13	2	-1.023261	0.249212	0.033568	-1	0.100000	0	0.000000
+500	14	0	1.068031	0.272558	0.032549	1	0.096581	0	0.000000
+500	14	1	0.257974	0.277379	0.038434	-1	0.096581	0	0.000000
+500	14	2	-1.745252	0.195500	0.024658	-1	0.096581	0	0.000000
+600	12	0	-0.023704	0.203957	0.030896	1	0.100000	0	0.000000
+600	12	1	-0.633007	0.188331	0.034978	-1	0.100000	0	0.000000
+600	12	2	-1.761041	0.298617	0.036219	-1	0.100000	0	0.000000
+600	13	0	0.131381	0.270617	0.031426	-1	0.100000	0	0.000000
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