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20260514_075838/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": 6.632616905386482,
+    "saved_at": "2026-05-14T08:18:42",
+    "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_075838/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": 6.632616905386482,
+    "saved_at": "2026-05-14T10:39:03",
+    "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_075838/nas_top2.json

@@ -0,0 +1,143 @@
+{
+  "_meta": {
+    "name": "nas_best_t097",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 97, fitness 6.5136. 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": 97,
+    "fitness": 6.513649856581763,
+    "saved_at": "2026-05-14T10:39:03",
+    "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": 0.17006452022950114,
+    "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_075838/nas_top3.json

@@ -0,0 +1,143 @@
+{
+  "_meta": {
+    "name": "nas_best_t075",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 75, fitness 6.3011. 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": 75,
+    "fitness": 6.301076344418529,
+    "saved_at": "2026-05-14T10:39:03",
+    "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": 16.38027366701653,
+    "_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": 13.273338040624479,
+    "_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": 40.72154499132672,
+    "_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": 1101,
+    "idle_explore_seconds": 1.6132011550970262,
+    "explore_probability": 0.3593182621914328,
+    "_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": 0.32329031875925485,
+    "afferent_synapse_strength": 1.4656801347555684,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.575056983114292,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.008022079935544102,
+    "intrinsic_timescale_default": 21.838555305198,
+    "resting_potential_decay": 0.2549339513752723,
+    "sensorimotor_coupling": 2.523501374874793,
+    "_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": 0.0032181891819350835,
+    "plasticity_threshold": 0.5722907580202715,
+    "adaptation_tau_ticks": 47.92820683137205,
+    "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": 0.05631410266841988,
+    "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": [
+      0.6384634324667938,
+      1.060415552128637
+    ],
+    "_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": 2.5095398675668417,
+    "_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": 0.022714688717901815,
+    "_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": 0.10976503391940831,
+    "_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_075838/trial_000/nxon2_656209809__KeyMetrics.txt

@@ -0,0 +1,67 @@
+# Neuraxon Game of Life v4.75 — Key metrics export
+# game_id=nxon2_656209809
+# samples=61
+# format=tab-separated, header row, one row per full-analytics tick
+# keys: M1_excitatory_fraction, M2_mean_gate, M3_pac_modulation_idx, M4_temporal_divergence, M5_branching_ratio, M6_spontaneous_fraction, M7_zero_input_mi_ratio, M8_sensory_vs_association_dissociation, M9_transfer_ratio, M10_heritability_r, stuck_fraction_at_pos1, stuck_fraction_at_neg1, stuck_fraction_15, mean_state_streak, input_active_fraction, input_drive_pressure, sensory_motor_corr, input_saturation_fraction, pop_mean_idle_seconds, exploration_trigger_rate, motor_neutral_fraction, input_locked_fraction, input_variance_mean, surv_score, surv_alive_count
+tick	wallclock_seconds	M1_excitatory_fraction	M2_mean_gate	M3_pac_modulation_idx	M4_temporal_divergence	M5_branching_ratio	M6_spontaneous_fraction	M7_zero_input_mi_ratio	M8_sensory_vs_association_dissociation	M9_transfer_ratio	M10_heritability_r	stuck_fraction_at_pos1	stuck_fraction_at_neg1	stuck_fraction_15	mean_state_streak	input_active_fraction	input_drive_pressure	sensory_motor_corr	input_saturation_fraction	pop_mean_idle_seconds	exploration_trigger_rate	motor_neutral_fraction	input_locked_fraction	input_variance_mean	surv_score	surv_alive_count
+0	0.708	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.465909	0.000000	0.000000	0.000000	0.000000	0.000000	1.000000	0.000000	0.000000	0.625000	10.000000
+1	0.733	0.096939	0.868758	0.000000	0.000000	0.997321	0.000000	1.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.465909	0.000000	0.000000	0.000000	0.016667	0.000000	1.000000	0.000000	0.000000	0.625000	10.000000
+2	0.822	0.096939	0.868758	0.000000	0.000000	0.997321	0.000000	1.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.678571	0.465909	0.270000	0.000000	0.000000	0.010000	0.000000	0.300000	0.000000	0.000000	0.925000	10.000000
+3	0.847	0.096939	0.869023	0.000000	1.000000	0.980313	0.000000	1.539502	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.678571	0.465909	0.000000	0.000000	0.000000	0.026667	0.000000	0.300000	0.000000	0.000000	0.625000	10.000000
+4	0.928	0.096939	0.869023	0.000000	1.000000	0.980313	0.000000	1.539502	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.280612	0.556818	0.410000	0.000000	0.000000	0.013333	0.000000	0.200000	0.000000	0.000000	0.925000	10.000000
+5	0.953	0.127551	0.868728	0.000000	0.986339	1.122580	0.000000	2.165710	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.280612	0.556818	0.000000	0.000000	0.000000	0.030000	0.000000	0.200000	0.000000	0.000000	0.625000	10.000000
+6	1.038	0.127551	0.868728	0.000000	0.986339	1.122580	0.000000	2.165710	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.673469	0.659091	0.460000	0.000000	0.000000	0.013333	0.000000	0.200000	0.000000	0.000000	0.925000	10.000000
+7	1.063	0.158163	0.868729	0.000000	0.961683	1.144958	0.000000	1.817424	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.673469	0.659091	0.080000	0.768043	0.000000	0.030000	0.000000	0.200000	0.000000	0.000000	0.625000	10.000000
+8	1.151	0.158163	0.868729	0.000000	0.961683	1.144958	0.000000	1.817424	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.994898	0.647727	0.490000	0.660311	0.000000	0.023333	0.000000	0.200000	0.000000	0.000000	0.925000	10.000000
+9	1.176	0.158163	0.868729	0.000000	0.961683	1.144958	0.000000	1.817424	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.994898	0.647727	0.080000	0.628962	0.000000	0.040000	0.000000	0.200000	0.000000	0.000000	0.625000	10.000000
+10	1.201	0.137755	0.868731	0.000000	0.934002	1.137757	0.000000	2.221913	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.994898	0.647727	0.080000	0.606077	0.000000	0.056667	0.000000	0.200000	0.000000	0.000000	0.625000	10.000000
+11	1.287	0.132653	0.869386	0.000000	0.893650	1.128833	0.123077	2.981551	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2.321429	0.636364	0.370000	0.562009	0.000000	0.053333	0.000000	0.200000	0.000000	0.000000	0.825000	10.000000
+12	1.369	0.132653	0.869386	0.000000	0.893650	1.128833	0.123077	2.981551	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2.744898	0.625000	0.570000	0.530464	0.000000	0.070000	0.000000	0.200000	0.000000	0.000000	0.625000	10.000000
+13	1.403	0.117347	0.869394	0.000000	0.856160	1.117325	0.000000	1.314945	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2.744898	0.625000	0.380000	0.506371	0.000000	0.078333	0.000000	0.200000	0.000000	0.000000	0.725000	10.000000
+14	1.493	0.117347	0.869394	0.000000	0.856160	1.117325	0.000000	1.314945	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	3.045918	0.693182	0.600000	0.443228	0.000000	0.095000	0.000000	0.300000	0.000000	0.000000	0.625000	10.000000
+15	1.518	0.132653	0.868831	0.000000	0.818118	1.127523	0.000000	0.945702	0.000000	1.650794	0.000000	0.000000	0.000000	0.000000	3.045918	0.693182	0.370000	0.431993	0.000000	0.111667	0.000000	0.300000	0.000000	0.000000	0.625000	10.000000
+16	1.601	0.132653	0.868831	0.000000	0.818118	1.127523	0.000000	0.945702	0.000000	1.650794	0.000000	0.000000	0.000000	0.000000	3.357143	0.659091	0.640000	0.417750	0.000000	0.118333	0.000000	0.200000	0.000000	0.000000	0.725000	10.000000
+17	1.626	0.127551	0.869424	0.000000	0.783034	1.124054	0.000000	0.865849	0.000000	1.353066	0.000000	0.000000	0.000000	0.000000	3.357143	0.659091	0.310000	0.410087	0.000000	0.128333	0.000000	0.200000	0.000000	0.000000	0.725000	10.000000
+18	1.720	0.127551	0.869424	0.000000	0.783034	1.124054	0.000000	0.865849	0.000000	1.353066	0.000000	0.000000	0.000000	0.000000	3.533333	0.681818	0.500000	0.416640	0.000000	0.120000	0.000000	0.200000	0.000000	0.000000	0.925000	10.000000
+19	1.747	0.127551	0.869424	0.000000	0.783034	1.124054	0.000000	0.865849	0.000000	1.353066	0.000000	0.000000	0.000000	0.000000	3.533333	0.681818	0.210000	0.420428	0.000000	0.118333	0.000000	0.200000	0.000000	0.000000	0.725000	10.000000
+20	1.772	0.138462	0.868409	0.000000	0.004376	1.120621	0.000000	0.924244	0.000000	0.868385	0.000000	0.000000	0.000000	0.000000	3.533333	0.681818	0.210000	0.422685	0.000000	0.135000	0.000000	0.200000	0.000000	0.000000	0.625000	10.000000
+21	1.914	0.143590	0.868780	0.000000	0.024149	1.111586	0.131579	1.859054	0.000000	0.905699	0.000000	0.000000	0.000000	0.000000	3.800000	0.681818	0.280000	0.429662	0.000000	0.128333	0.000000	0.300000	0.000000	0.000000	0.825000	10.000000
+22	2.066	0.143590	0.868780	0.000000	0.024149	1.111586	0.131579	1.859054	0.000000	0.905699	0.000000	0.000000	0.000000	0.000000	4.015385	0.670455	0.340000	0.374595	0.000000	0.096667	0.000000	0.200000	0.000000	0.000000	0.925000	10.000000
+23	2.108	0.138462	0.868432	0.000000	0.037850	1.101740	0.000000	1.977161	0.000000	0.902626	0.000000	0.000000	0.000000	0.000000	4.015385	0.670455	0.090000	0.364867	0.000000	0.113333	0.000000	0.200000	0.000000	0.000000	0.625000	10.000000
+24	2.268	0.138462	0.868432	0.000000	0.037850	1.101740	0.000000	1.977161	0.000000	0.902626	0.000000	0.000000	0.000000	0.000000	4.307692	0.670455	0.490000	0.354313	0.000000	0.096667	0.000000	0.200000	0.000000	0.000000	0.925000	10.000000
+25	2.309	0.138462	0.869130	0.000000	0.048589	1.141782	0.000000	1.971738	0.000000	0.879567	0.000000	0.000000	0.000000	0.000000	4.307692	0.670455	0.180000	0.345531	0.000000	0.113333	0.000000	0.200000	0.000000	0.000000	0.625000	10.000000
+26	2.459	0.138462	0.869130	0.000000	0.048589	1.141782	0.000000	1.971738	0.000000	0.879567	0.000000	0.000000	0.000000	0.000000	4.353846	0.670455	0.480000	0.335252	0.000000	0.120000	0.000000	0.200000	0.000000	0.000000	0.925000	10.000000
+27	2.498	0.164103	0.868674	0.000000	0.057230	1.142024	0.000000	1.515212	0.000000	0.965842	0.000000	0.000000	0.000000	0.000000	4.353846	0.670455	0.190000	0.326566	0.000000	0.128333	0.000000	0.200000	0.000000	0.000000	0.725000	10.000000
+28	2.650	0.164103	0.868674	0.000000	0.057230	1.142024	0.000000	1.515212	0.000000	0.965842	0.000000	0.000000	0.000000	0.000000	4.210256	0.704545	0.530000	0.327346	0.000000	0.096667	0.000000	0.100000	0.000000	0.000000	0.925000	10.000000
+29	2.688	0.164103	0.868674	0.000000	0.057230	1.142024	0.000000	1.515212	0.000000	0.965842	0.000000	0.000000	0.000000	0.000000	4.210256	0.704545	0.170000	0.328822	0.465909	0.101667	0.000000	0.100000	0.579545	0.152400	0.725000	10.000000
+30	2.728	0.169231	0.868784	0.000000	0.060707	1.142118	0.000000	1.679843	-0.016931	0.976715	0.000000	0.000000	0.000000	0.000000	4.210256	0.704545	0.170000	0.301483	0.465909	0.118333	0.000000	0.100000	0.579545	0.150180	0.625000	10.000000
+31	2.881	0.153846	0.868435	0.673576	0.103447	1.135786	0.116279	1.733271	-0.019517	0.933774	0.000000	0.000000	0.000000	0.133333	4.153846	0.715909	0.250000	0.276174	0.465909	0.131667	0.000000	0.300000	0.556818	0.151049	0.725000	10.000000
+32	3.034	0.153846	0.868435	0.673576	0.103447	1.135786	0.116279	1.733271	-0.019517	0.933774	0.000000	0.005128	0.005128	0.133333	4.241026	0.704545	0.500000	0.243321	0.465909	0.140000	0.000000	0.300000	0.556818	0.146442	0.825000	10.000000
+33	3.088	0.184615	0.868373	0.673482	0.104475	1.141343	0.400000	1.674763	-0.020315	0.917782	0.000000	0.005128	0.005128	0.128205	4.189744	0.715909	0.260000	0.190153	0.522727	0.155000	0.000000	0.300000	0.602273	0.136301	0.725000	10.000000
+34	3.244	0.184615	0.868373	0.673482	0.104475	1.141343	0.400000	1.674763	-0.020315	0.917782	0.000000	0.015385	0.010256	0.133333	4.230769	0.727273	0.410000	0.171257	0.522727	0.161667	0.000000	0.300000	0.579545	0.136302	0.725000	10.000000
+35	3.291	0.200000	0.869487	0.674742	0.105328	1.133673	0.250000	1.353656	-0.017923	0.809921	0.000000	0.015385	0.010256	0.128205	4.153846	0.727273	0.300000	0.128404	0.579545	0.153333	0.000000	0.300000	0.647727	0.125225	0.825000	10.000000
+36	3.454	0.200000	0.869487	0.674742	0.105328	1.133673	0.250000	1.353656	-0.017923	0.809921	0.000000	0.015385	0.010256	0.123077	4.061538	0.704545	0.450000	0.140055	0.579545	0.156667	0.000000	0.300000	0.636364	0.124167	0.625000	10.000000
+37	3.500	0.194872	0.869197	0.673154	0.105796	1.130302	0.000000	1.196020	-0.014854	0.793735	0.000000	0.015385	0.010256	0.123077	4.066667	0.704545	0.400000	0.122519	0.602273	0.166667	0.000000	0.300000	0.670455	0.116958	0.725000	10.000000
+38	3.655	0.194872	0.869197	0.673154	0.105796	1.130302	0.000000	1.196020	-0.014854	0.793735	0.000000	0.015385	0.015385	0.128205	3.882051	0.761364	0.450000	0.154264	0.602273	0.176667	0.000000	0.200000	0.659091	0.121595	0.625000	10.000000
+39	3.702	0.194872	0.868870	0.673357	0.020589	1.137991	0.247191	1.060870	-0.012750	0.795302	0.000000	0.015385	0.015385	0.128205	3.887179	0.761364	0.450000	0.178773	0.602273	0.186667	0.000000	0.200000	0.659091	0.123260	0.725000	10.000000
+40	3.746	0.220513	0.867989	0.673707	0.027650	1.143581	0.000000	0.990601	-0.008872	0.816536	0.000000	0.015385	0.015385	0.128205	3.887179	0.761364	0.450000	0.198268	0.602273	0.203333	0.000000	0.200000	0.681818	0.121194	0.525000	10.000000
+41	3.901	0.210256	0.869020	0.673249	0.026786	1.139948	0.238095	0.979071	-0.007760	0.828609	0.000000	0.005128	0.010256	0.102564	3.374359	0.715909	0.380000	0.163155	0.579545	0.176667	0.000000	0.200000	0.659091	0.126355	0.825000	10.000000
+42	4.051	0.210256	0.869020	0.673249	0.026786	1.139948	0.238095	0.979071	-0.007760	0.828609	0.000000	0.000000	0.010256	0.087179	3.394872	0.715909	0.480000	0.145879	0.568182	0.190000	0.000000	0.300000	0.647727	0.131948	0.625000	10.000000
+43	4.099	0.194872	0.868365	0.672473	0.029081	1.132902	0.250000	0.914062	-0.008078	0.887970	0.000000	0.000000	0.010256	0.082051	3.292308	0.727273	0.480000	0.125781	0.568182	0.203333	0.000000	0.300000	0.636364	0.137320	0.625000	10.000000
+44	4.254	0.194872	0.868365	0.672473	0.029081	1.132902	0.250000	0.914062	-0.008078	0.887970	0.000000	0.000000	0.010256	0.082051	3.076923	0.750000	0.470000	0.116691	0.568182	0.195000	0.000000	0.200000	0.636364	0.138087	0.825000	10.000000
+45	4.302	0.210256	0.869685	0.672495	0.028377	1.130836	0.215054	0.856184	-0.010279	0.886757	0.000000	0.000000	0.010256	0.082051	3.076923	0.750000	0.350000	0.112925	0.579545	0.208333	0.000000	0.200000	0.659091	0.134844	0.625000	10.000000
+46	4.458	0.210256	0.869685	0.672516	0.031143	1.130836	0.000000	0.816570	-0.009651	0.884794	0.000000	0.000000	0.015385	0.087179	3.035897	0.750000	0.480000	0.115287	0.579545	0.215000	0.000000	0.200000	0.659091	0.137195	0.825000	10.000000
+47	4.507	0.200000	0.869305	0.670893	0.037593	1.126922	0.000000	0.830535	-0.008992	0.860445	0.000000	0.000000	0.015385	0.087179	3.035897	0.750000	0.400000	0.115121	0.579545	0.228333	0.000000	0.200000	0.670455	0.137404	0.625000	10.000000
+48	4.669	0.200000	0.869305	0.670893	0.037593	1.126922	0.000000	0.830535	-0.008992	0.860445	0.000000	0.000000	0.015385	0.082051	3.087179	0.761364	0.520000	0.122199	0.579545	0.238333	0.000000	0.300000	0.659091	0.142590	0.725000	10.000000
+49	4.716	0.230769	0.868961	0.671210	0.037186	1.128642	0.272727	0.812051	-0.008472	0.901079	0.000000	0.000000	0.015385	0.082051	3.087179	0.761364	0.480000	0.127261	0.579545	0.250000	0.000000	0.300000	0.659091	0.145477	0.625000	10.000000
+50	4.760	0.230769	0.868961	0.671210	0.037186	1.128642	0.272727	0.812051	-0.008472	0.901079	0.000000	0.000000	0.015385	0.082051	3.087179	0.761364	0.480000	0.132104	0.579545	0.266667	0.000000	0.300000	0.659091	0.147253	0.525000	10.000000
+51	4.919	0.226804	0.868637	0.670758	0.041801	1.125179	0.303797	0.848040	-0.005853	1.056818	0.000000	0.000000	0.005155	0.056701	2.773196	0.750000	0.430000	0.133848	0.579545	0.276667	0.000000	0.300000	0.659091	0.147649	0.725000	10.000000
+52	5.086	0.226804	0.868637	0.670758	0.041801	1.125179	0.303797	0.848040	-0.005853	1.056818	0.000000	0.000000	0.005155	0.030928	2.087629	0.795455	0.520000	0.133969	0.579545	0.290000	0.000000	0.300000	0.613636	0.157570	0.625000	10.000000
+53	5.143	0.237113	0.868526	0.670157	0.043646	1.118829	0.000000	0.824698	-0.007098	1.079921	0.000000	0.000000	0.005155	0.030928	2.087629	0.795455	0.440000	0.131929	0.579545	0.296667	0.000000	0.300000	0.613636	0.161475	0.625000	10.000000
+54	5.303	0.237113	0.868526	0.670157	0.043646	1.118829	0.000000	0.824698	-0.007098	1.079921	0.000000	0.000000	0.005155	0.036082	2.149485	0.761364	0.360000	0.138603	0.579545	0.295000	0.000000	0.200000	0.613636	0.163372	0.825000	10.000000
+55	5.353	0.226804	0.869684	0.670978	0.045390	1.110236	0.250000	0.840081	-0.005200	1.080048	0.000000	0.000000	0.005155	0.036082	2.149485	0.761364	0.260000	0.150365	0.590909	0.308333	0.000000	0.200000	0.625000	0.162951	0.625000	10.000000
+56	5.511	0.226804	0.869684	0.670978	0.045390	1.110236	0.250000	0.840081	-0.005200	1.080048	0.000000	0.000000	0.005155	0.041237	2.231959	0.772727	0.490000	0.190634	0.590909	0.255000	0.000000	0.100000	0.625000	0.165637	0.825000	10.000000
+57	5.562	0.237113	0.869002	0.669299	0.046986	1.115844	0.000000	0.947804	-0.004217	1.120449	0.000000	0.000000	0.005155	0.041237	2.231959	0.772727	0.340000	0.219275	0.590909	0.268333	0.100000	0.100000	0.625000	0.167397	0.625000	10.000000
+58	5.732	0.237113	0.869002	0.669299	0.046986	1.115844	0.000000	0.947804	-0.004217	1.120449	0.000000	0.000000	0.005155	0.036082	2.154639	0.784091	0.500000	0.222375	0.590909	0.221667	0.100000	0.000000	0.625000	0.167476	0.825000	10.000000
+59	5.789	0.237113	0.869011	0.669612	0.046638	1.106539	0.434783	0.957275	-0.004172	1.118529	0.000000	0.000000	0.005155	0.036082	2.154639	0.784091	0.280000	0.222453	0.590909	0.238333	0.000000	0.000000	0.625000	0.166385	0.525000	10.000000
+60	5.837	0.237113	0.868594	0.670217	0.050299	1.106725	0.000000	0.967113	-0.004640	1.111659	0.000000	0.000000	0.005155	0.036082	2.154639	0.784091	0.280000	0.213552	0.602273	0.255000	0.000000	0.000000	0.636364	0.162987	0.525000	10.000000

20260514_075838/trial_000/nxon2_656209809__MembraneDiag.txt

@@ -0,0 +1,14 @@
+# Neuraxon Game of Life v4.75 — Membrane diagnostics
+# game_id=nxon2_656209809
+# rows=9
+# 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	10	0	-1.083281	0.304867	0.047424	-1	0.100000	0	0.000000
+0	10	1	0.583543	0.327068	0.037697	1	0.100000	0	0.000000
+0	10	2	-0.757421	0.289064	0.041915	-1	0.100000	0	0.000000
+0	11	0	1.007029	0.290560	0.033040	1	0.100000	0	0.000000
+0	11	1	-0.264401	0.238684	0.042529	1	0.100000	0	0.000000
+0	11	2	0.155661	0.213454	0.064728	-1	0.100000	0	0.000000
+0	12	0	-0.524495	0.255799	0.031237	1	0.100000	0	0.000000
+0	12	1	-1.759242	0.326463	0.040850	-1	0.100000	0	0.000000
+0	12	2	0.221338	0.257980	0.033607	-1	0.100000	0	0.000000

20260514_075838/trial_000__arch.json

@@ -0,0 +1,42 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-14T07:58:39"
+  },
+  "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_075838/trial_001/nxon2_999249844__KeyMetrics.txt

@@ -0,0 +1,107 @@
+# Neuraxon Game of Life v4.75 — Key metrics export
+# game_id=nxon2_999249844
+# samples=101
+# format=tab-separated, header row, one row per full-analytics tick
+# keys: M1_excitatory_fraction, M2_mean_gate, M3_pac_modulation_idx, M4_temporal_divergence, M5_branching_ratio, M6_spontaneous_fraction, M7_zero_input_mi_ratio, M8_sensory_vs_association_dissociation, M9_transfer_ratio, M10_heritability_r, stuck_fraction_at_pos1, stuck_fraction_at_neg1, stuck_fraction_15, mean_state_streak, input_active_fraction, input_drive_pressure, sensory_motor_corr, input_saturation_fraction, pop_mean_idle_seconds, exploration_trigger_rate, motor_neutral_fraction, input_locked_fraction, input_variance_mean, surv_score, surv_alive_count
+tick	wallclock_seconds	M1_excitatory_fraction	M2_mean_gate	M3_pac_modulation_idx	M4_temporal_divergence	M5_branching_ratio	M6_spontaneous_fraction	M7_zero_input_mi_ratio	M8_sensory_vs_association_dissociation	M9_transfer_ratio	M10_heritability_r	stuck_fraction_at_pos1	stuck_fraction_at_neg1	stuck_fraction_15	mean_state_streak	input_active_fraction	input_drive_pressure	sensory_motor_corr	input_saturation_fraction	pop_mean_idle_seconds	exploration_trigger_rate	motor_neutral_fraction	input_locked_fraction	input_variance_mean	surv_score	surv_alive_count
+0	0.766	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.428571	0.000000	0.000000	0.000000	0.000000	0.000000	1.000000	0.000000	0.000000	0.625000	10.000000
+1	0.789	0.074468	0.847033	0.000000	0.000000	0.997250	0.000000	1.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.428571	0.000000	0.000000	0.000000	0.016667	0.000000	1.000000	0.000000	0.000000	0.625000	10.000000
+2	0.875	0.074468	0.847033	0.000000	0.000000	0.997250	0.000000	1.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.712766	0.428571	0.190000	0.000000	0.000000	0.013333	0.000000	0.400000	0.000000	0.000000	0.925000	10.000000
+3	0.894	0.074468	0.846780	0.000000	1.000000	0.984677	0.000000	2.140000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.712766	0.428571	0.000000	0.000000	0.000000	0.030000	0.000000	0.400000	0.000000	0.000000	0.625000	10.000000
+4	0.973	0.074468	0.846780	0.000000	1.000000	0.984677	0.000000	2.140000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.361702	0.500000	0.340000	0.000000	0.000000	0.030000	0.000000	0.400000	0.000000	0.000000	0.925000	10.000000
+5	0.995	0.095745	0.846380	0.000000	0.598515	1.166899	0.000000	2.914229	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.361702	0.500000	0.000000	0.000000	0.000000	0.046667	0.000000	0.400000	0.000000	0.000000	0.625000	10.000000
+6	1.078	0.095745	0.846380	0.000000	0.598515	1.166899	0.000000	2.914229	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.872340	0.571429	0.350000	0.000000	0.000000	0.046667	0.000000	0.400000	0.000000	0.000000	0.925000	10.000000
+7	1.099	0.106383	0.846305	0.000000	0.653250	1.166120	0.000000	3.824298	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.872340	0.571429	0.000000	0.379996	0.000000	0.063333	0.000000	0.400000	0.000000	0.000000	0.625000	10.000000
+8	1.179	0.106383	0.846305	0.000000	0.653250	1.166120	0.000000	3.824298	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2.244681	0.583333	0.400000	0.359251	0.000000	0.040000	0.000000	0.200000	0.000000	0.000000	0.925000	10.000000
+9	1.202	0.132979	0.846838	0.000000	0.648230	1.171806	0.053333	4.290786	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2.244681	0.583333	0.000000	0.369978	0.000000	0.056667	0.000000	0.200000	0.000000	0.000000	0.625000	10.000000
+10	1.226	0.132979	0.846217	0.000000	0.675937	1.171806	0.000000	4.955764	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2.244681	0.583333	0.000000	0.375681	0.000000	0.073333	0.000000	0.200000	0.000000	0.000000	0.625000	10.000000
+11	1.308	0.132979	0.846694	0.000000	0.657763	1.159679	0.082353	3.347298	0.000000	1.277778	0.000000	0.000000	0.000000	0.000000	2.691489	0.547619	0.310000	0.255544	0.000000	0.081667	0.000000	0.300000	0.000000	0.000000	0.825000	10.000000
+12	1.392	0.132979	0.846694	0.000000	0.657763	1.159679	0.082353	3.347298	0.000000	1.277778	0.000000	0.000000	0.000000	0.000000	3.101064	0.571429	0.460000	0.271427	0.000000	0.083333	0.000000	0.400000	0.000000	0.000000	0.925000	10.000000
+13	1.414	0.095745	0.845717	0.000000	0.642596	1.148798	0.000000	1.655125	0.000000	1.337143	0.000000	0.000000	0.000000	0.000000	3.101064	0.571429	0.260000	0.281952	0.000000	0.091667	0.000000	0.400000	0.000000	0.000000	0.725000	10.000000
+14	1.498	0.095745	0.845717	0.000000	0.642596	1.148798	0.000000	1.655125	0.000000	1.337143	0.000000	0.000000	0.000000	0.000000	3.340426	0.583333	0.500000	0.248619	0.000000	0.066667	0.000000	0.100000	0.000000	0.000000	0.925000	10.000000
+15	1.519	0.148936	0.845719	0.000000	0.622747	1.207377	0.000000	1.093979	0.000000	1.017214	0.000000	0.000000	0.000000	0.000000	3.340426	0.583333	0.310000	0.247921	0.000000	0.078333	0.000000	0.100000	0.000000	0.000000	0.725000	10.000000
+16	1.606	0.148936	0.845719	0.000000	0.622747	1.207377	0.000000	1.093979	0.000000	1.017214	0.000000	0.000000	0.000000	0.000000	3.521277	0.595238	0.470000	0.234304	0.000000	0.080000	0.000000	0.300000	0.000000	0.000000	0.925000	10.000000
+17	1.627	0.159574	0.845889	0.000000	0.600923	1.202546	0.000000	0.922979	0.000000	1.017214	0.000000	0.000000	0.000000	0.000000	3.521277	0.595238	0.310000	0.228086	0.000000	0.096667	0.000000	0.300000	0.000000	0.000000	0.625000	10.000000
+18	1.718	0.159574	0.845889	0.000000	0.600923	1.202546	0.000000	0.922979	0.000000	1.017214	0.000000	0.000000	0.000000	0.000000	3.750000	0.559524	0.320000	0.224678	0.000000	0.110000	0.000000	0.400000	0.000000	0.000000	0.725000	10.000000
+19	1.740	0.159574	0.845889	0.000000	0.600923	1.202546	0.000000	0.922979	0.000000	1.017214	0.000000	0.000000	0.000000	0.000000	3.750000	0.559524	0.270000	0.220878	0.000000	0.126667	0.000000	0.400000	0.000000	0.000000	0.625000	10.000000
+20	1.761	0.148936	0.846067	0.000000	0.589767	1.193239	0.000000	1.813506	0.000000	1.093150	0.000000	0.000000	0.000000	0.000000	3.750000	0.559524	0.270000	0.217136	0.000000	0.143333	0.000000	0.400000	0.000000	0.000000	0.625000	10.000000
+21	1.901	0.148936	0.846429	0.000000	0.555549	1.189497	0.120482	1.854038	0.000000	1.015570	0.000000	0.000000	0.000000	0.000000	3.936170	0.559524	0.250000	0.201449	0.000000	0.130000	0.000000	0.200000	0.000000	0.000000	0.925000	10.000000
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+80	8.001	0.202128	0.845476	0.666778	0.237997	1.168100	0.000000	0.993529	-0.001289	1.041170	0.000000	0.000000	0.000000	0.026596	2.101064	0.785714	0.270000	0.037387	0.559524	0.290000	0.000000	0.100000	0.583333	0.232025	0.525000	10.000000
+81	8.182	0.202128	0.845471	0.666722	0.240021	1.158303	0.560976	0.920995	-0.001446	1.034059	0.000000	0.000000	0.000000	0.021277	2.186170	0.690476	0.250000	0.004744	0.559524	0.293333	0.000000	0.200000	0.571429	0.233948	0.725000	10.000000
+82	8.363	0.202128	0.845471	0.666722	0.240021	1.158303	0.560976	0.920995	-0.001446	1.034059	0.000000	0.000000	0.000000	0.021277	2.207447	0.738095	0.600000	-0.010879	0.559524	0.306667	0.000000	0.000000	0.571429	0.234807	0.625000	10.000000
+83	8.405	0.223404	0.846065	0.666848	0.237721	1.194872	0.000000	0.889937	0.001464	1.028822	0.000000	0.000000	0.000000	0.021277	2.207447	0.738095	0.380000	-0.031755	0.559524	0.311667	0.000000	0.000000	0.571429	0.234375	0.625000	10.000000
+84	8.578	0.223404	0.846065	0.666848	0.237721	1.194872	0.000000	0.889937	0.001464	1.028822	0.000000	0.000000	0.000000	0.021277	2.255319	0.726190	0.430000	-0.008941	0.559524	0.268333	0.100000	0.400000	0.571429	0.236828	0.625000	10.000000
+85	8.620	0.218085	0.845719	0.666724	0.235708	1.183008	0.000000	0.858855	0.001763	1.035428	0.000000	0.000000	0.000000	0.021277	2.255319	0.726190	0.170000	0.018662	0.559524	0.285000	0.000000	0.400000	0.571429	0.238130	0.525000	10.000000
+86	8.798	0.218085	0.845719	0.666724	0.235708	1.183008	0.000000	0.858855	0.001763	1.035428	0.000000	0.000000	0.000000	0.021277	2.250000	0.773810	0.630000	0.056354	0.559524	0.293333	0.000000	0.000000	0.571429	0.238047	0.725000	10.000000
+87	8.842	0.191489	0.845733	0.666840	0.183555	1.177558	0.000000	0.833619	0.004514	1.041434	0.000000	0.000000	0.000000	0.021277	2.250000	0.773810	0.280000	0.097475	0.559524	0.310000	0.000000	0.000000	0.571429	0.237076	0.525000	10.000000
+88	9.010	0.191489	0.845733	0.666840	0.183555	1.177558	0.000000	0.833619	0.004514	1.041434	0.000000	0.000000	0.000000	0.015957	2.037234	0.750000	0.540000	0.094369	0.559524	0.326667	0.000000	0.200000	0.571429	0.239079	0.525000	10.000000
+89	9.052	0.191489	0.845733	0.666840	0.183555	1.177558	0.000000	0.833619	0.004514	1.041434	0.000000	0.000000	0.000000	0.015957	2.037234	0.750000	0.290000	0.091195	0.559524	0.338333	0.000000	0.200000	0.571429	0.240069	0.625000	10.000000
+90	9.095	0.207447	0.845929	0.666692	0.183663	1.166829	0.000000	0.818992	0.008074	1.050186	0.000000	0.000000	0.000000	0.015957	2.037234	0.750000	0.290000	0.088121	0.559524	0.355000	0.000000	0.200000	0.571429	0.239956	0.525000	10.000000
+91	9.279	0.244681	0.846188	0.666725	0.182148	1.174683	0.523256	0.832558	0.006679	1.055900	0.000000	0.000000	0.000000	0.021277	2.101064	0.797619	0.290000	0.108761	0.559524	0.371667	0.000000	0.000000	0.571429	0.241583	0.525000	10.000000
+92	9.453	0.244681	0.846188	0.666725	0.182148	1.174683	0.523256	0.832558	0.006679	1.055900	0.000000	0.000000	0.000000	0.005319	1.611702	0.797619	0.570000	0.152295	0.559524	0.368333	0.000000	0.300000	0.559524	0.244786	0.625000	10.000000
+93	9.495	0.255319	0.846093	0.666674	0.181528	1.169191	0.000000	0.871622	0.006406	1.060912	0.000000	0.000000	0.000000	0.005319	1.611702	0.797619	0.200000	0.184065	0.559524	0.385000	0.000000	0.300000	0.559524	0.245618	0.525000	10.000000
+94	9.671	0.255319	0.846093	0.666674	0.181528	1.169191	0.000000	0.871622	0.006406	1.060912	0.000000	0.000000	0.000000	0.005319	1.632979	0.773810	0.590000	0.157407	0.559524	0.393333	0.000000	0.100000	0.559524	0.243177	0.575000	10.000000
+95	9.713	0.234043	0.846376	0.666726	0.180974	1.161387	0.000000	0.859349	0.005991	1.057101	0.000000	0.000000	0.000000	0.005319	1.632979	0.773810	0.280000	0.134212	0.559524	0.410000	0.000000	0.100000	0.559524	0.239005	0.475000	10.000000
+96	9.895	0.234043	0.846376	0.666726	0.180974	1.161387	0.000000	0.859349	0.005991	1.057101	0.000000	0.000000	0.000000	0.005319	1.707447	0.785714	0.610000	0.130906	0.559524	0.396667	0.100000	0.100000	0.559524	0.238603	0.575000	10.000000
+97	9.937	0.234043	0.846369	0.666695	0.183751	1.157104	0.632911	0.897103	0.006041	1.053199	0.000000	0.000000	0.000000	0.005319	1.707447	0.785714	0.190000	0.126508	0.559524	0.405000	0.000000	0.100000	0.559524	0.236807	0.575000	10.000000
+98	10.113	0.223404	0.847267	0.666676	0.184473	1.153421	0.000000	0.875379	0.006639	1.053425	0.000000	0.000000	0.000000	0.005319	1.595745	0.761905	0.540000	0.106896	0.559524	0.421667	0.000000	0.200000	0.559524	0.236778	0.475000	10.000000
+99	10.158	0.223404	0.847267	0.666676	0.184473	1.153421	0.000000	0.875379	0.006639	1.053425	0.000000	0.000000	0.000000	0.005319	1.595745	0.761905	0.340000	0.090644	0.559524	0.435000	0.000000	0.200000	0.559524	0.235731	0.575000	10.000000
+100	10.212	0.218085	0.846991	0.666767	0.184537	1.148526	0.000000	0.861785	0.008027	1.042777	0.000000	0.000000	0.000000	0.005319	1.595745	0.761905	0.340000	0.076722	0.559524	0.451667	0.000000	0.200000	0.559524	0.233599	0.475000	10.000000

20260514_075838/trial_001/nxon2_999249844__MembraneDiag.txt

@@ -0,0 +1,23 @@
+# Neuraxon Game of Life v4.75 — Membrane diagnostics
+# game_id=nxon2_999249844
+# rows=18
+# 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	-1.592410	0.201157	0.030551	-1	0.100000	0	0.000000
+0	12	1	-0.550631	0.346362	0.038779	1	0.100000	0	0.000000
+0	12	2	0.805485	0.335134	0.044228	1	0.100000	0	0.000000
+0	13	0	-0.649394	0.317988	0.039392	-1	0.100000	0	0.000000
+0	13	1	0.110992	0.249020	0.051194	-1	0.100000	0	0.000000
+0	13	2	-0.200816	0.301460	0.050852	-1	0.100000	0	0.000000
+0	14	0	0.262663	0.232051	0.038830	-1	0.100000	0	0.000000
+0	14	1	-1.337781	0.222115	0.050584	-1	0.100000	0	0.000000
+0	14	2	-0.772631	0.195249	0.040951	-1	0.100000	0	0.000000
+100	12	0	-1.592410	0.201157	0.030551	-1	0.100000	0	0.000000
+100	12	1	-0.550631	0.346362	0.038779	1	0.100000	0	0.000000
+100	12	2	0.805485	0.335134	0.044228	1	0.100000	0	0.000000
+100	13	0	-0.649394	0.317988	0.039392	-1	0.100000	0	0.000000
+100	13	1	0.110992	0.249020	0.051194	-1	0.100000	0	0.000000
+100	13	2	-0.200816	0.301460	0.050852	-1	0.100000	0	0.000000
+100	14	0	0.262663	0.232051	0.038830	-1	0.100000	0	0.000000
+100	14	1	-1.337781	0.222115	0.050584	-1	0.100000	0	0.000000
+100	14	2	-0.772631	0.195249	0.040951	-1	0.100000	0	0.000000

20260514_075838/trial_001__arch.json

@@ -0,0 +1,42 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 1,
+    "sampled_at": "2026-05-14T07:58:39"
+  },
+  "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_075838/trial_002__arch.json

@@ -0,0 +1,42 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 2,
+    "sampled_at": "2026-05-14T07:58:39"
+  },
+  "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_075838/trial_003__arch.json

@@ -0,0 +1,42 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 3,
+    "sampled_at": "2026-05-14T07:58:39"
+  },
+  "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
+    ]
+  }
+}