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20260517_084219/nas_best.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t207",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 207, fitness 6.9108. 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": 207,
+    "fitness": 6.910781092751133,
+    "saved_at": "2026-05-17T09:24:53",
+    "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": 16.047362426406586,
+    "_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": 14.29094674831517,
+    "_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": 41.26928432706648,
+    "_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": 814,
+    "idle_explore_seconds": 1.022831017550907,
+    "explore_probability": 0.7797587683604641,
+    "_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": 6,
+    "_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": 0.23740813212211606,
+    "afferent_synapse_strength": 1.2182664024317886,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.49123736284224034,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.007360108092505243,
+    "intrinsic_timescale_default": 25.567304118267717,
+    "resting_potential_decay": 0.15636757117886668,
+    "sensorimotor_coupling": 2.599343665520403,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": false,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 0,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.23289701783316483,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update.",
+    "sphere_topology": "sensory_association_motor",
+    "cross_sphere_coupling": 1.507719434223788,
+    "cryst_capacity": 1.5521710531957342,
+    "free_energy_beta": 1.900731879376613
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.025305212100078474,
+    "plasticity_threshold": 0.5203365661932559,
+    "adaptation_tau_ticks": 22.112984244355044,
+    "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": 0.053156216702232056,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
+    "fitness_g_weight": 0.47624596542325026
+  },
+  "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": [
+      0.7960105902497742,
+      1.4463480226405
+    ],
+    "_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": 0.8724320800307641,
+    "_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": 0.0755758034678732,
+    "_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": 0.1429040335861138,
+    "_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
+    ]
+  }
+}

20260517_084219/nas_top1.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t207",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 207, fitness 6.9108. 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": 207,
+    "fitness": 6.910781092751133,
+    "saved_at": "2026-05-17T09:25:04",
+    "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": 16.047362426406586,
+    "_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": 14.29094674831517,
+    "_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": 41.26928432706648,
+    "_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": 814,
+    "idle_explore_seconds": 1.022831017550907,
+    "explore_probability": 0.7797587683604641,
+    "_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": 6,
+    "_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": 0.23740813212211606,
+    "afferent_synapse_strength": 1.2182664024317886,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.49123736284224034,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.007360108092505243,
+    "intrinsic_timescale_default": 25.567304118267717,
+    "resting_potential_decay": 0.15636757117886668,
+    "sensorimotor_coupling": 2.599343665520403,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": false,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 0,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.23289701783316483,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update.",
+    "sphere_topology": "sensory_association_motor",
+    "cross_sphere_coupling": 1.507719434223788,
+    "cryst_capacity": 1.5521710531957342,
+    "free_energy_beta": 1.900731879376613
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.025305212100078474,
+    "plasticity_threshold": 0.5203365661932559,
+    "adaptation_tau_ticks": 22.112984244355044,
+    "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": 0.053156216702232056,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
+    "fitness_g_weight": 0.47624596542325026
+  },
+  "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": [
+      0.7960105902497742,
+      1.4463480226405
+    ],
+    "_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": 0.8724320800307641,
+    "_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": 0.0755758034678732,
+    "_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": 0.1429040335861138,
+    "_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
+    ]
+  }
+}

20260517_084219/nas_top2.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t208",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 208, fitness 6.8851. 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": 208,
+    "fitness": 6.885134673513241,
+    "saved_at": "2026-05-17T09:25:04",
+    "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": 16.047362426406586,
+    "_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": 12.033549539317164,
+    "_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": 41.26928432706648,
+    "_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": 814,
+    "idle_explore_seconds": 1.022831017550907,
+    "explore_probability": 0.7797587683604641,
+    "_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": 6,
+    "_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": 0.2331824537927049,
+    "afferent_synapse_strength": 1.2217225595088195,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.49123736284224034,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.007834254159691023,
+    "intrinsic_timescale_default": 21.000346850447333,
+    "resting_potential_decay": 0.1,
+    "sensorimotor_coupling": 2.599343665520403,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": false,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 0,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.25060530898199906,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update.",
+    "sphere_topology": "sensory_association_motor",
+    "cross_sphere_coupling": 1.507719434223788,
+    "cryst_capacity": 1.5521710531957342,
+    "free_energy_beta": 1.900731879376613
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.025305212100078474,
+    "plasticity_threshold": 0.5203365661932559,
+    "adaptation_tau_ticks": 22.112984244355044,
+    "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": 0.0704169746675725,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
+    "fitness_g_weight": 0.47624596542325026
+  },
+  "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": [
+      0.8305565056843139,
+      1.153524760942771
+    ],
+    "_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": 0.0,
+    "_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": 0.0755758034678732,
+    "_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": 0.1429040335861138,
+    "_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
+    ]
+  }
+}

20260517_084219/nas_top3.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t099",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 99, fitness 6.8671. 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": 99,
+    "fitness": 6.867066685309895,
+    "saved_at": "2026-05-17T09:25:04",
+    "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": 5.314517925546536,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 4.41534325090211,
+    "_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": 42.05593866966013,
+    "_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": 333,
+    "idle_explore_seconds": 1.022831017550907,
+    "explore_probability": 0.5693913284306938,
+    "_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": 17,
+    "_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": 0.2331824537927049,
+    "afferent_synapse_strength": 1.780833758217287,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.4708337914692987,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.022359095498730944,
+    "intrinsic_timescale_default": 29.580409803129477,
+    "resting_potential_decay": 0.19183373962429512,
+    "sensorimotor_coupling": 2.705088637273964,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": false,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 0,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.35824227921653284,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update.",
+    "sphere_topology": "sensory_association_motor",
+    "cross_sphere_coupling": 1.9251134016996527,
+    "cryst_capacity": 1.5521710531957342,
+    "free_energy_beta": 0.33630767305183007
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.003684435674454167,
+    "plasticity_threshold": 0.3488638876349055,
+    "adaptation_tau_ticks": 28.188694742820687,
+    "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": 0.2196066376927362,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
+    "fitness_g_weight": 0.7867945904546167
+  },
+  "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": [
+      0.6852491140074083,
+      1.1192581369194237
+    ],
+    "_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": 0.8724320800307641,
+    "_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": 0.010291522923653384,
+    "_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": 0.1429040335861138,
+    "_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
+    ]
+  }
+}

20260517_084219/trial_000/nxon2_430391171__KeyMetrics.txt

@@ -0,0 +1,203 @@
+# Neuraxon Game of Life v4.87 — Key metrics export
+# game_id=nxon2_430391171
+# samples=197
+# 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, surv_original_count, g_pc1_fraction, g_positive_manifold, g_mean_offdiag_r, g_lambda1_over_lambda2
+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	surv_original_count	g_pc1_fraction	g_positive_manifold	g_mean_offdiag_r	g_lambda1_over_lambda2
+1	0.815	0.000000	0.752002	0.000000	0.000000	1.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.900000	0.000000	0.000000	0.000000	0.000000	0.016667	0.000000	1.000000	0.000000	0.000000	0.625000	30.000000	30.000000	0.000000	0.000000	0.000000	0.000000
+2	1.385	0.106944	0.752002	0.000000	0.000000	1.405000	0.220604	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.680556	0.200000	0.156667	0.000000	0.000000	0.024444	0.000000	0.666667	0.000000	0.000000	0.891700	30.000000	30.000000	0.415768	0.200000	0.030178	1.435555
+3	2.130	0.098611	0.751859	0.000000	0.000000	1.397717	0.231258	0.518519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2.088889	0.211111	0.256667	0.000000	0.000000	0.027222	0.000000	0.666667	0.000000	0.000000	0.925000	30.000000	30.000000	0.437249	0.200000	-0.051846	1.530756
+4	2.708	0.072222	0.752002	0.000000	0.823932	1.408485	0.191689	0.663965	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2.531944	0.155556	0.163333	0.000000	0.000000	0.037222	0.000000	0.866667	0.000000	0.000000	0.758300	30.000000	30.000000	0.460373	0.300000	0.017574	1.706300
+5	3.232	0.070833	0.751892	0.000000	0.296669	1.419544	0.205931	0.758086	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2.894444	0.150000	0.220000	0.000000	0.000000	0.046111	0.000000	0.800000	0.000000	0.000000	0.758300	30.000000	30.000000	0.440512	0.200000	-0.016500	1.802775
+6	3.817	0.094444	0.751859	0.000000	0.118493	1.452067	0.178934	0.911653	0.000000	0.800000	0.000000	0.000000	0.000000	0.000000	3.212500	0.150000	0.276667	0.000000	0.000000	0.044444	0.000000	0.633333	0.000000	0.000000	0.925000	30.000000	30.000000	0.424800	0.300000	0.012719	1.777739
+7	4.364	0.090278	0.752002	0.000000	0.470612	1.461745	0.185241	0.858564	0.000000	0.987179	0.000000	0.000000	0.000000	0.000000	3.401389	0.183333	0.276667	0.000000	0.000000	0.043333	0.000000	0.700000	0.000000	0.000000	0.858300	30.000000	30.000000	0.413918	0.200000	0.038419	1.437820
+8	4.964	0.086111	0.751859	0.000000	0.390134	1.463616	0.192261	1.049982	0.000000	1.022727	0.000000	0.000000	0.000000	0.000000	3.602778	0.172222	0.246667	0.254402	0.000000	0.050000	0.000000	0.766667	0.000000	0.000000	0.791700	30.000000	30.000000	0.430947	0.500000	0.073388	1.785957
+9	5.576	0.086111	0.751859	0.000000	0.390134	1.463616	0.192261	1.049982	0.000000	1.022727	0.000000	0.000000	0.000000	0.000000	3.827778	0.116667	0.326667	0.239115	0.000000	0.052778	0.000000	0.666667	0.000000	0.000000	0.891700	30.000000	30.000000	0.404241	0.600000	0.080650	1.571027
+10	5.622	0.087500	0.752002	0.000000	0.344767	1.450528	0.000000	0.836227	0.000000	0.780163	0.000000	0.000000	0.000000	0.000000	3.827778	0.116667	0.326667	0.233237	0.000000	0.069444	0.000000	0.666667	0.000000	0.000000	0.625000	30.000000	30.000000	0.404245	0.600000	0.080696	1.571303
+11	8.185	0.101389	0.751894	0.000000	0.181419	1.477483	0.208708	0.905981	0.000000	0.819712	0.000000	0.000000	0.000000	0.000000	3.918056	0.155556	0.373333	0.234647	0.000000	0.063889	0.000000	0.700000	0.000000	0.000000	0.891700	30.000000	30.000000	0.417821	0.900000	0.171589	1.733299
+12	9.625	0.098611	0.751920	0.000000	0.168841	1.454475	0.197436	0.867862	0.000000	0.815833	0.000000	0.000000	0.000000	0.000000	4.005556	0.188889	0.333333	0.213862	0.000000	0.071667	0.000000	0.833333	0.000000	0.000000	0.691700	30.000000	30.000000	0.408165	0.500000	0.074746	1.771207
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+158	283.549	0.149441	0.751541	0.333547	0.042749	1.283780	0.340751	0.667616	0.005776	0.968183	0.000000	0.000000	0.000000	0.000000	2.139665	0.311111	0.490000	0.023167	0.072222	0.137778	0.000000	0.500000	0.072222	0.407016	0.625000	30.000000	30.000000	0.379283	0.800000	0.141023	1.863952
+159	285.485	0.149441	0.751541	0.333547	0.042749	1.283780	0.340751	0.667616	0.005776	0.968183	0.000000	0.000000	0.000000	0.001397	2.156425	0.277778	0.450000	0.030096	0.072222	0.150556	0.000000	0.633333	0.072222	0.407280	0.691700	30.000000	30.000000	0.377649	0.733333	0.125220	1.714176
+160	285.671	0.135475	0.751403	0.333580	0.043797	1.294559	0.000000	0.694372	0.005548	0.970267	0.000000	0.000000	0.000000	0.001397	2.156425	0.277778	0.450000	0.038936	0.072222	0.167222	0.000000	0.633333	0.072222	0.405756	0.591700	30.000000	30.000000	0.377649	0.733333	0.125220	1.714176
+161	289.346	0.157821	0.751387	0.333656	0.041272	1.302007	0.349927	0.675391	0.005833	0.973699	0.000000	0.000000	0.000000	0.001397	2.180168	0.322222	0.463333	0.036755	0.072222	0.135556	0.000000	0.433333	0.072222	0.405010	0.891700	30.000000	30.000000	0.375437	0.800000	0.158274	1.768490
+162	291.388	0.157821	0.750996	0.333595	0.041112	1.300891	0.336011	0.663495	0.006109	0.976000	0.000000	0.000000	0.000000	0.001397	2.138268	0.300000	0.510000	0.038243	0.077778	0.139444	0.000000	0.466667	0.077778	0.403351	0.691700	30.000000	30.000000	0.382653	0.800000	0.172465	1.784822
+163	293.260	0.150838	0.751521	0.333468	0.040949	1.296468	0.336195	0.669319	0.006220	0.978157	0.000000	0.000000	0.000000	0.001397	2.135475	0.300000	0.493333	0.031278	0.077778	0.153333	0.000000	0.466667	0.077778	0.401671	0.658300	30.000000	30.000000	0.389201	0.800000	0.166896	2.036858
+164	295.254	0.129888	0.751521	0.333453	0.040804	1.289848	0.323486	0.671829	0.006171	0.984991	0.000000	0.000000	0.000000	0.001397	2.191341	0.333333	0.486667	0.032130	0.083333	0.162222	0.000000	0.666667	0.083333	0.399523	0.658300	30.000000	30.000000	0.371019	0.600000	0.107588	1.838039
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+166	299.204	0.156425	0.751391	0.333453	0.042442	1.295962	0.325170	0.676963	0.006646	0.989543	0.000000	0.000000	0.000000	0.001397	2.234637	0.300000	0.470000	0.044432	0.088889	0.116667	0.033333	0.433333	0.088889	0.398494	0.775000	30.000000	30.000000	0.392338	0.733333	0.152027	1.956379
+167	301.093	0.145251	0.751374	0.333451	0.042273	1.307315	0.318991	0.666803	0.006744	0.997346	0.000000	0.000000	0.000000	0.001397	2.206704	0.277778	0.503333	0.045150	0.088889	0.120556	0.000000	0.433333	0.088889	0.396484	0.708300	30.000000	30.000000	0.421701	0.666667	0.206753	2.152216
+168	303.157	0.145251	0.751512	0.333409	0.042110	1.292252	0.341737	0.665984	0.007010	1.001962	0.000000	0.000000	0.000000	0.000000	2.134078	0.344444	0.606667	0.058340	0.088889	0.124444	0.000000	0.500000	0.088889	0.396312	0.741700	30.000000	30.000000	0.382543	0.666667	0.160012	1.745025
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+176	318.681	0.175978	0.751376	0.333487	0.049100	1.281935	0.350000	0.627999	0.007153	1.018106	0.000000	0.000000	0.000000	0.000000	2.050279	0.377778	0.483333	0.098637	0.105556	0.171667	0.000000	0.366667	0.105556	0.391407	0.875000	30.000000	30.000000	0.385463	0.800000	0.160362	1.895984
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+178	322.616	0.153846	0.751660	0.333473	0.047168	1.262020	0.353642	0.625493	0.006755	1.002291	0.000000	0.000000	0.000000	0.000000	2.069930	0.355556	0.540000	0.108069	0.111111	0.145000	0.033333	0.400000	0.111111	0.389309	0.808300	30.000000	30.000000	0.387023	0.600000	0.130760	1.814743
+179	324.503	0.153846	0.751660	0.333473	0.047168	1.262020	0.353642	0.625493	0.006755	1.002291	0.000000	0.000000	0.000000	0.002797	2.074126	0.344444	0.463333	0.113853	0.111111	0.148333	0.033333	0.466667	0.111111	0.390315	0.708300	30.000000	30.000000	0.444046	0.866667	0.263085	2.028275
+180	324.689	0.160839	0.751163	0.333421	0.046728	1.259014	0.000000	0.636758	0.006903	0.987525	0.000000	0.000000	0.000000	0.002797	2.074126	0.344444	0.463333	0.119152	0.111111	0.165000	0.000000	0.466667	0.111111	0.389746	0.608300	30.000000	30.000000	0.444046	0.866667	0.263085	2.028275
+181	328.438	0.163636	0.751476	0.333411	0.046614	1.245906	0.355491	0.648023	0.006498	0.984958	0.000000	0.000000	0.000000	0.001399	2.099301	0.383333	0.550000	0.112598	0.111111	0.151667	0.000000	0.433333	0.111111	0.390108	0.741700	30.000000	30.000000	0.419936	0.800000	0.214449	1.964803
+182	330.435	0.141259	0.751469	0.333411	0.046583	1.252757	0.325779	0.644242	0.006497	0.993048	0.000000	0.000000	0.000000	0.001399	2.134266	0.344444	0.476667	0.118547	0.111111	0.158889	0.033333	0.500000	0.111111	0.388796	0.691700	30.000000	30.000000	0.421367	0.800000	0.207255	2.215566
+183	332.382	0.141259	0.751323	0.333390	0.046387	1.242671	0.330849	0.658264	0.006408	1.001735	0.000000	0.000000	0.000000	0.001399	2.212587	0.333333	0.476667	0.125740	0.116667	0.120556	0.033333	0.500000	0.116667	0.386586	0.841700	30.000000	30.000000	0.435450	0.800000	0.233034	2.270822
+184	334.378	0.170629	0.751320	0.333378	0.046645	1.263847	0.358757	0.648174	0.006292	0.997844	0.000000	0.000000	0.000000	0.000000	2.064336	0.383333	0.546667	0.134808	0.116667	0.135556	0.000000	0.400000	0.116667	0.386862	0.691700	30.000000	30.000000	0.412942	0.866667	0.215716	2.077073
+185	336.264	0.174825	0.751341	0.333393	0.046596	1.251888	0.330849	0.649512	0.006286	0.995704	0.000000	0.000000	0.000000	0.001399	1.995804	0.416667	0.480000	0.134514	0.122222	0.137778	0.000000	0.466667	0.122222	0.384922	0.758300	30.000000	30.000000	0.409806	0.800000	0.203936	1.872443
+186	338.353	0.146853	0.751447	0.333418	0.046423	1.235514	0.306122	0.658757	0.006321	1.002687	0.000000	0.000000	0.000000	0.001399	2.071329	0.366667	0.566667	0.135101	0.127778	0.136667	0.000000	0.533333	0.127778	0.385121	0.691700	30.000000	30.000000	0.398710	0.800000	0.162771	2.032185
+187	340.234	0.151049	0.751031	0.333412	0.043665	1.242432	0.335423	0.652967	0.006413	1.007228	0.000000	0.000000	0.000000	0.001399	2.138462	0.311111	0.550000	0.134876	0.127778	0.131111	0.000000	0.366667	0.127778	0.381696	0.708300	30.000000	30.000000	0.447782	0.800000	0.240365	2.328449
+188	342.233	0.165035	0.751119	0.333426	0.041745	1.240953	0.327684	0.648901	0.007052	1.006699	0.000000	0.000000	0.000000	0.001399	2.141259	0.383333	0.566667	0.128018	0.127778	0.139444	0.000000	0.400000	0.127778	0.382096	0.708300	30.000000	30.000000	0.406739	0.800000	0.196173	1.918986
+189	344.194	0.165035	0.751119	0.333426	0.041745	1.240953	0.327684	0.648901	0.007052	1.006699	0.000000	0.000000	0.000000	0.000000	2.015385	0.405556	0.486667	0.140246	0.127778	0.152778	0.000000	0.333333	0.127778	0.383836	0.641700	30.000000	30.000000	0.436189	0.800000	0.240553	2.092907
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+191	348.071	0.151049	0.751294	0.333432	0.043723	1.214899	0.327434	0.658165	0.006802	1.009467	0.000000	0.000000	0.000000	0.001399	2.093706	0.316667	0.453333	0.172117	0.144444	0.159444	0.000000	0.466667	0.144444	0.377911	0.675000	30.000000	30.000000	0.470286	0.800000	0.267986	2.491292
+192	350.118	0.169231	0.751321	0.333414	0.044005	1.237728	0.320261	0.661078	0.006532	1.010747	0.000000	0.000000	0.000000	0.001399	2.071329	0.383333	0.563333	0.148745	0.144444	0.162222	0.000000	0.400000	0.144444	0.378739	0.708300	30.000000	30.000000	0.418948	0.733333	0.201385	2.139482
+193	351.992	0.170629	0.751415	0.333372	0.043854	1.230663	0.306376	0.662004	0.006612	1.007102	0.000000	0.000000	0.000000	0.001399	2.062937	0.366667	0.593333	0.133188	0.144444	0.157222	0.000000	0.333333	0.144444	0.378604	0.708300	30.000000	30.000000	0.424709	0.800000	0.236258	2.014955
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+196	358.474	0.181818	0.751304	0.333400	0.043898	1.223163	0.319889	0.670581	0.006262	1.009904	0.000000	0.000000	0.000000	0.000000	2.023776	0.383333	0.540000	0.108311	0.144444	0.162778	0.000000	0.333333	0.144444	0.375731	0.691700	30.000000	30.000000	0.470048	0.800000	0.275075	2.315968
+197	360.313	0.181818	0.751304	0.333400	0.043898	1.223163	0.319889	0.670581	0.006262	1.009904	0.000000	0.000000	0.000000	0.000000	1.977622	0.366667	0.430000	0.092829	0.150000	0.142222	0.000000	0.366667	0.150000	0.373458	0.858300	30.000000	30.000000	0.430718	0.733333	0.217951	2.070008

20260517_084219/trial_000/nxon2_430391171__MembraneDiag.txt

@@ -0,0 +1,23 @@
+# Neuraxon Game of Life v4.87 — Membrane diagnostics
+# game_id=nxon2_430391171
+# rows=18
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
+tick	nxer_id	neuron_id	layer	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+100	0	6	hidden	-0.310510	0.158376	0.028065	0	0.171527	2	122.289985
+100	0	7	hidden	-0.321406	0.141358	0.029512	0	0.176428	2	131.847642
+100	0	8	hidden	0.955232	0.112391	0.025025	0	0.161057	3	127.912840
+100	0	0	input	-0.359332	0.110564	0.030840	0	0.180435	4	110.053154
+100	0	1	input	-0.517601	0.131626	0.027710	0	0.169560	1	155.825547
+100	0	2	input	-0.152494	0.108773	0.024065	1	0.165560	1	122.143535
+100	1	6	hidden	0.511437	0.113473	0.028044	0	0.130741	3	64.516952
+100	1	7	hidden	0.263961	0.131003	0.031594	0	0.144208	2	70.005379
+100	1	8	hidden	0.860029	0.158539	0.032789	0	0.147664	1	73.935689
+100	1	0	input	0.816577	0.147361	0.036033	0	0.159327	1	35.207767
+100	1	1	input	0.456715	0.125140	0.029372	1	0.144931	1	83.600621
+100	1	2	input	-1.100737	0.130617	0.033250	0	0.149906	4	62.945815
+100	2	6	hidden	0.267020	0.095894	0.025677	0	0.139661	2	73.901897
+100	2	7	hidden	-0.314589	0.112865	0.023042	0	0.128482	5	111.869462
+100	2	8	hidden	0.171784	0.103773	0.022397	0	0.127634	1	103.987974
+100	2	0	input	-0.426229	0.143744	0.034588	0	0.173006	2	57.352083
+100	2	1	input	0.837425	0.099058	0.025146	0	0.136641	3	51.654707
+100	2	2	input	-0.636326	0.102849	0.022594	0	0.128669	5	97.965800

20260517_084219/trial_000__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-17T08:42:20"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 12.23082877532614,
+    "max_atrophy": 1.8376451955060036,
+    "metabolic_rate_abs_cap_multiple": 22.301524555194202,
+    "idle_explore_seconds": 0.79106362392741,
+    "explore_probability": 0.6418827284984074,
+    "mate_cooldown_seconds": 16,
+    "circadian_cycle_ticks": 1058
+  },
+  "neural": {
+    "num_hidden_neurons_default": 23,
+    "connection_probability": 0.17608164978882485,
+    "afferent_synapse_strength": 1.1063061836223245,
+    "firing_threshold_excitatory": 0.40893916583142115,
+    "spontaneous_firing_rate": 0.009167192661639309,
+    "intrinsic_timescale_default": 19.117816338273972,
+    "resting_potential_decay": 0.10663399242096591,
+    "sensorimotor_coupling": 0.5965129520599455,
+    "symmetric_stdp": true,
+    "refractory_period_ticks": 3,
+    "post_spike_mp_reset": 0.4492090462838536,
+    "sphere_topology": "chc6",
+    "cross_sphere_coupling": 1.0207515495539756,
+    "cryst_capacity": 0.8109589996235631,
+    "free_energy_beta": 1.9272622227515281
+  },
+  "operating_ranges": {
+    "learning_rate": 0.00489693023424257,
+    "plasticity_threshold": 0.6477201283171735,
+    "autoreceptor_coefficient": 0.20176147342595346,
+    "adaptation_tau_ticks": 16.386372655075604,
+    "fitness_g_weight": 0.33659454511262676
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 6.779954930779678,
+    "firing_threshold_jitter": 0.09055890470503365,
+    "mutation_strength": 0.12492667552566943,
+    "metabolic_rate_multiplier_range": [
+      0.6324610451830518,
+      1.1031940072584052
+    ]
+  }
+}

20260517_084219/trial_001/nxon2_024722855__KeyMetrics.txt

@@ -0,0 +1,215 @@
+# Neuraxon Game of Life v4.87 — Key metrics export
+# game_id=nxon2_024722855
+# samples=209
+# 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, surv_original_count, g_pc1_fraction, g_positive_manifold, g_mean_offdiag_r, g_lambda1_over_lambda2
+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	surv_original_count	g_pc1_fraction	g_positive_manifold	g_mean_offdiag_r	g_lambda1_over_lambda2
+1	1.642	0.000000	0.943868	0.000000	0.000000	1.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.766667	0.000000	0.000000	0.000000	0.000000	0.016667	0.000000	1.000000	0.000000	0.000000	0.625000	30.000000	30.000000	0.000000	0.000000	0.000000	0.000000
+2	2.237	0.090476	0.943868	0.000000	0.000000	1.328500	0.238434	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.509524	0.155556	0.183333	0.000000	0.000000	0.024444	0.000000	0.700000	0.000000	0.000000	0.891700	30.000000	30.000000	0.517745	0.333333	-0.078009	2.085306
+3	2.802	0.063492	0.943861	0.000000	0.000000	1.335186	0.152756	0.333333	0.000000	0.634615	0.000000	0.000000	0.000000	0.000000	1.920635	0.138889	0.226667	0.000000	0.000000	0.033333	0.000000	0.766667	0.000000	0.000000	0.825000	30.000000	30.000000	0.472837	0.333333	-0.113904	1.573887
+4	3.433	0.103175	0.943868	0.000000	0.421843	1.426002	0.172018	0.351011	0.000000	0.680672	0.000000	0.000000	0.000000	0.000000	2.301587	0.183333	0.283333	0.000000	0.000000	0.042778	0.000000	0.766667	0.000000	0.000000	0.758300	30.000000	30.000000	0.395836	0.000000	-0.148415	1.068688
+5	4.000	0.074603	0.943868	0.000000	0.234325	1.402674	0.172147	0.626800	0.000000	0.636364	0.000000	0.000000	0.000000	0.000000	2.600000	0.150000	0.153333	0.000000	0.000000	0.059444	0.000000	0.900000	0.000000	0.000000	0.625000	30.000000	30.000000	0.472399	0.000000	-0.299496	1.192927
+6	4.634	0.068254	0.943868	0.000000	0.263378	1.411513	0.219844	0.626278	0.000000	0.826484	0.000000	0.000000	0.000000	0.000000	2.977778	0.111111	0.273333	0.000000	0.000000	0.069444	0.000000	0.800000	0.000000	0.000000	0.691700	30.000000	30.000000	0.354137	0.000000	-0.033970	1.053005
+7	5.204	0.057143	0.943861	0.000000	0.213978	1.426444	0.197761	0.864136	0.000000	1.084071	0.000000	0.000000	0.000000	0.000000	3.366667	0.055556	0.273333	0.000000	0.000000	0.085556	0.000000	0.833333	0.000000	0.000000	0.658300	30.000000	30.000000	0.363121	0.000000	-0.055748	1.063232
+8	5.915	0.041270	0.943861	0.000000	0.346941	1.452098	0.224490	1.042730	0.000000	1.290927	0.000000	0.000000	0.000000	0.000000	3.920635	0.066667	0.360000	0.231673	0.000000	0.088889	0.000000	0.833333	0.000000	0.000000	0.725000	30.000000	30.000000	0.459176	0.333333	-0.136746	1.381774
+9	6.520	0.041270	0.943861	0.000000	0.346941	1.452098	0.224490	1.042730	0.000000	1.290927	0.000000	0.000000	0.000000	0.000000	4.103175	0.088889	0.293333	0.186197	0.000000	0.094444	0.000000	0.733333	0.000000	0.000000	0.725000	30.000000	30.000000	0.545788	0.333333	-0.015763	2.001900
+10	6.568	0.079365	0.943902	0.000000	0.263104	1.531610	0.000000	1.243466	0.000000	1.281802	0.000000	0.000000	0.000000	0.000000	4.103175	0.088889	0.293333	0.161242	0.000000	0.111111	0.000000	0.733333	0.000000	0.000000	0.625000	30.000000	30.000000	0.545811	0.333333	-0.015650	2.001768
+11	8.971	0.073016	0.943809	0.000000	0.186305	1.555890	0.153398	1.090621	0.000000	1.214876	0.000000	0.000000	0.000000	0.000000	4.426984	0.133333	0.340000	0.147574	0.000000	0.106111	0.000000	0.733333	0.000000	0.000000	0.825000	30.000000	30.000000	0.631896	0.000000	-0.263792	1.716623
+12	10.349	0.088889	0.943809	0.000000	0.245323	1.560881	0.167752	1.061257	0.000000	1.427580	0.000000	0.000000	0.000000	0.000000	4.506349	0.150000	0.376667	0.130012	0.000000	0.115556	0.000000	0.833333	0.000000	0.000000	0.691700	30.000000	30.000000	0.459460	0.333333	-0.126799	1.488894
+13	11.610	0.057143	0.943808	0.000000	0.213795	1.558067	0.196172	0.956868	0.000000	1.464839	0.000000	0.000000	0.000000	0.000000	4.665079	0.066667	0.310000	0.128919	0.000000	0.132222	0.000000	0.966667	0.000000	0.000000	0.625000	30.000000	30.000000	0.399235	0.000000	-0.134785	1.113311
+14	12.960	0.055556	0.943844	0.000000	0.111755	1.637373	0.167464	0.921512	0.000000	1.540466	0.000000	0.000000	0.000000	0.000000	4.911111	0.083333	0.396667	0.120779	0.000000	0.142222	0.000000	0.900000	0.000000	0.000000	0.658300	30.000000	30.000000	0.433163	0.000000	-0.171880	1.225566
+15	14.299	0.060317	0.943807	0.000000	0.106652	1.655407	0.179420	0.921300	0.000000	1.633936	0.000000	0.000000	0.000000	0.023810	4.976190	0.111111	0.340000	0.113199	0.000000	0.152222	0.000000	0.933333	0.000000	0.000000	0.658300	30.000000	30.000000	0.429684	0.333333	-0.044514	1.466654
+16	16.008	0.073016	0.943806	0.000000	0.192395	1.696102	0.182752	0.996576	0.000000	1.800979	0.000000	0.000000	0.000000	0.022222	5.044444	0.116667	0.400000	0.116086	0.000000	0.133889	0.000000	0.733333	0.000000	0.000000	0.825000	30.000000	30.000000	0.472933	0.333333	-0.130248	1.582918
+17	17.281	0.079365	0.943804	0.000000	0.173401	1.699787	0.145631	1.009590	0.000000	1.741767	0.000000	0.000000	0.000000	0.028571	4.923810	0.138889	0.290000	0.130547	0.000000	0.129444	0.000000	0.800000	0.000000	0.000000	0.758300	30.000000	30.000000	0.431816	0.333333	0.000425	1.403577
+18	18.669	0.080952	0.943802	0.000000	0.172542	1.724050	0.207080	0.985096	0.000000	1.648415	0.000000	0.000000	0.000000	0.038095	4.836508	0.122222	0.360000	0.137346	0.000000	0.128333	0.000000	0.666667	0.000000	0.000000	0.758300	30.000000	30.000000	0.420097	0.666667	0.013279	1.244101
+19	19.945	0.080952	0.943802	0.000000	0.172542	1.724050	0.207080	0.985096	0.000000	1.648415	0.000000	0.000000	0.000000	0.034921	4.822222	0.127778	0.336667	0.131231	0.000000	0.128333	0.000000	0.700000	0.000000	0.000000	0.758300	30.000000	30.000000	0.473911	0.666667	0.127301	1.409173
+20	20.058	0.085714	0.943801	0.000000	0.211120	1.741872	0.000000	0.987817	0.000000	1.441569	0.000000	0.000000	0.000000	0.034921	4.822222	0.127778	0.336667	0.127845	0.000000	0.145000	0.000000	0.700000	0.000000	0.000000	0.625000	30.000000	30.000000	0.473911	0.666667	0.127292	1.409171
+21	22.752	0.057143	0.943833	0.000000	0.215257	1.735315	0.171218	0.953557	0.000000	1.464540	0.000000	0.000000	0.000000	0.030159	4.825397	0.094444	0.333333	0.142442	0.000000	0.136111	0.000000	0.866667	0.000000	0.000000	0.758300	30.000000	30.000000	0.415246	0.000000	-0.118707	1.219913
+22	24.250	0.065079	0.943842	0.000000	0.209530	1.730219	0.193407	0.898085	0.000000	1.441494	0.000000	0.000000	0.000000	0.025397	4.893651	0.122222	0.393333	0.148180	0.000000	0.143333	0.000000	0.766667	0.000000	0.000000	0.725000	30.000000	30.000000	0.379525	0.666667	0.010802	1.090611
+23	25.537	0.080952	0.943852	0.000000	0.194554	1.764636	0.198547	0.867789	0.000000	1.362109	0.000000	0.000000	0.000000	0.020635	4.896825	0.127778	0.396667	0.148711	0.000000	0.147778	0.000000	0.666667	0.000000	0.000000	0.725000	30.000000	30.000000	0.454296	0.666667	0.069155	1.297003
+24	27.078	0.073016	0.943827	0.000000	0.194858	1.761549	0.169118	0.905639	0.000000	1.310610	0.000000	0.000000	0.000000	0.015873	4.671429	0.172222	0.423333	0.133198	0.000000	0.151111	0.000000	0.800000	0.000000	0.000000	0.691700	30.000000	30.000000	0.433872	0.333333	-0.077475	1.429673
+25	28.370	0.060317	0.943863	0.000000	0.209211	1.745397	0.162741	0.941669	0.000000	1.347599	0.000000	0.000000	0.000000	0.015873	4.749206	0.105556	0.263333	0.122161	0.000000	0.163889	0.000000	0.866667	0.000000	0.000000	0.658300	30.000000	30.000000	0.457078	0.333333	-0.108713	1.539575
+26	29.849	0.065079	0.943881	0.000000	0.204454	1.751317	0.161017	0.881676	0.000000	1.350287	0.000000	0.000000	0.000000	0.025397	4.852381	0.116667	0.376667	0.120561	0.000000	0.178333	0.000000	0.866667	0.000000	0.000000	0.658300	30.000000	30.000000	0.465568	0.333333	-0.055797	1.639063
+27	31.118	0.055556	0.943786	0.000000	0.193347	1.764808	0.176972	0.825868	0.000000	1.338238	0.000000	0.000000	0.000000	0.030159	4.947619	0.105556	0.350000	0.128063	0.000000	0.188333	0.000000	0.900000	0.000000	0.000000	0.691700	30.000000	30.000000	0.412431	0.000000	-0.160937	1.134965
+28	32.640	0.050794	0.943754	0.000000	0.190641	1.771907	0.181818	0.689413	0.000000	1.321243	0.000000	0.000000	0.000000	0.031746	5.111111	0.088889	0.400000	0.123182	0.000000	0.198333	0.000000	0.900000	0.000000	0.000000	0.658300	30.000000	30.000000	0.381832	0.333333	-0.056388	1.154345
+29	33.935	0.050794	0.943754	0.000000	0.190641	1.771907	0.181818	0.689413	0.000000	1.321243	0.000000	0.000000	0.000000	0.031746	5.246032	0.094444	0.336667	0.123008	0.000000	0.210556	0.000000	0.900000	0.000000	0.000000	0.658300	30.000000	30.000000	0.438087	0.333333	0.024005	1.368172
+30	34.063	0.058730	0.943843	0.000000	0.127610	1.803056	0.000000	0.740410	0.003206	1.345208	0.000000	0.000000	0.000000	0.031746	5.246032	0.094444	0.336667	0.122955	0.000000	0.227222	0.000000	0.900000	0.033333	0.312716	0.625000	30.000000	30.000000	0.438090	0.333333	0.023999	1.368207
+31	37.143	0.080952	0.943836	0.000000	0.131473	1.826872	0.177570	0.840148	0.003519	1.352280	0.000000	0.000000	0.000000	0.033333	5.192063	0.122222	0.380000	0.097237	0.000000	0.207222	0.000000	0.800000	0.016667	0.320500	0.741700	30.000000	30.000000	0.430873	0.333333	-0.098534	1.383855
+32	38.931	0.079365	0.943822	0.339616	0.144197	1.824111	0.176471	0.717985	0.003593	1.391237	0.000000	0.000000	0.000000	0.036508	5.052381	0.111111	0.433333	0.074458	0.000000	0.221667	0.000000	0.800000	0.011111	0.318486	0.608300	30.000000	30.000000	0.405147	0.333333	-0.006404	1.300402
+33	40.529	0.074603	0.943846	0.339670	0.137477	1.827977	0.196078	0.719979	0.004176	1.388429	0.000000	0.000000	0.000000	0.031746	4.877778	0.122222	0.376667	0.056506	0.000000	0.231111	0.000000	0.733333	0.011111	0.316456	0.625000	30.000000	30.000000	0.394716	0.333333	-0.078114	1.193260
+34	42.300	0.077778	0.943839	0.336451	0.100242	1.804893	0.213052	0.702292	0.004426	1.394963	0.000000	0.000000	0.000000	0.031746	4.828571	0.116667	0.370000	0.051392	0.000000	0.230556	0.000000	0.833333	0.011111	0.313498	0.575000	30.000000	30.000000	0.402499	0.666667	0.018086	1.104853
+35	43.850	0.055556	0.943840	0.335835	0.123663	1.796646	0.196474	0.688823	0.004307	1.398916	0.000000	0.000000	0.000000	0.038095	4.885714	0.122222	0.330000	0.053498	0.000000	0.247222	0.000000	0.866667	0.005556	0.313262	0.541700	30.000000	30.000000	0.402999	0.000000	-0.118132	1.165833
+36	45.713	0.065079	0.943850	0.334948	0.123336	1.833549	0.232558	0.703080	0.004722	1.394563	0.000000	0.000000	0.000000	0.038095	4.765079	0.155556	0.256667	0.049934	0.000000	0.255000	0.000000	0.900000	0.005556	0.314889	0.575000	30.000000	30.000000	0.406293	0.666667	0.015128	1.159909
+37	47.280	0.068254	0.943844	0.335255	0.117512	1.823932	0.212471	0.740345	0.005068	1.367993	0.000000	0.000000	0.000000	0.033333	4.703175	0.116667	0.263333	0.045581	0.000000	0.245000	0.000000	0.833333	0.005556	0.316975	0.625000	30.000000	30.000000	0.364416	1.000000	0.045482	1.120642
+38	49.186	0.058730	0.943846	0.334923	0.122075	1.829144	0.199125	0.755134	0.005304	1.365548	0.000000	0.000000	0.000000	0.028571	4.826984	0.100000	0.333333	0.037645	0.000000	0.231111	0.000000	0.766667	0.005556	0.318716	0.691700	30.000000	30.000000	0.532165	0.000000	-0.064330	1.137506
+39	50.887	0.058730	0.943846	0.334923	0.122075	1.829144	0.199125	0.755134	0.005304	1.365548	0.000000	0.000000	0.000000	0.038095	4.957143	0.100000	0.300000	0.041197	0.000000	0.225556	0.000000	0.833333	0.005556	0.319649	0.625000	30.000000	30.000000	0.421799	0.333333	0.029192	1.309286
+40	51.043	0.071429	0.943848	0.335389	0.107207	1.831917	0.000000	0.766869	0.004872	1.360039	0.000000	0.000000	0.000000	0.038095	4.957143	0.100000	0.300000	0.044399	0.000000	0.242222	0.000000	0.833333	0.005556	0.318946	0.558300	30.000000	30.000000	0.421795	0.333333	0.029189	1.309272
+41	54.412	0.074603	0.943849	0.335106	0.088714	1.812526	0.214984	0.689405	0.004948	1.305806	0.000000	0.000000	0.000000	0.038095	4.861905	0.100000	0.423333	0.034588	0.000000	0.194444	0.000000	0.733333	0.000000	0.318624	0.808300	30.000000	30.000000	0.387842	0.666667	-0.006173	1.117999
+42	56.293	0.073016	0.943852	0.335117	0.092850	1.791705	0.185950	0.660264	0.004111	1.237237	0.000000	0.000000	0.000000	0.026984	4.747619	0.116667	0.440000	0.030429	0.000000	0.197222	0.000000	0.633333	0.005556	0.316853	0.675000	30.000000	30.000000	0.419812	0.333333	-0.072841	1.307018
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+189	324.213	0.079365	0.943916	0.335454	0.024106	1.855767	0.333955	0.732573	0.005258	1.002492	0.000000	0.000000	0.000000	0.001587	3.384127	0.133333	0.366667	-0.076110	0.000000	0.226111	0.000000	0.633333	0.005556	0.343504	0.725000	30.000000	30.000000	0.444720	0.400000	0.014544	1.748221
+190	324.382	0.073016	0.943917	0.335302	0.022507	1.839881	0.000000	0.759326	0.005187	1.006324	0.000000	0.000000	0.000000	0.001587	3.384127	0.133333	0.366667	-0.077515	0.000000	0.242778	0.000000	0.633333	0.005556	0.343388	0.558300	30.000000	30.000000	0.444720	0.400000	0.014544	1.748221
+191	327.957	0.079365	0.943928	0.335117	0.022858	1.824856	0.271000	0.771110	0.005094	1.004874	0.000000	0.000000	0.000000	0.001587	3.444444	0.150000	0.400000	-0.080143	0.000000	0.241667	0.000000	0.766667	0.000000	0.343287	0.625000	30.000000	30.000000	0.449001	0.500000	0.071037	1.793002
+192	329.988	0.071429	0.943923	0.335050	0.020870	1.797718	0.299795	0.766440	0.005017	1.004897	0.000000	0.000000	0.000000	0.003175	3.539683	0.111111	0.450000	-0.072739	0.000000	0.256111	0.033333	0.766667	0.005556	0.344629	0.625000	30.000000	30.000000	0.443050	0.400000	0.074994	1.664664
+193	331.680	0.069841	0.943934	0.335008	0.020585	1.811229	0.300236	0.766066	0.004970	0.999861	0.000000	0.000000	0.000000	0.004762	3.607937	0.122222	0.360000	-0.069116	0.000000	0.272778	0.000000	0.800000	0.005556	0.345554	0.541700	30.000000	30.000000	0.434948	0.300000	0.054627	1.882804
+194	333.619	0.082540	0.943934	0.334917	0.021403	1.819073	0.338947	0.773302	0.004961	1.003596	0.000000	0.000000	0.000000	0.004762	3.496825	0.172222	0.400000	-0.049635	0.000000	0.268889	0.000000	0.733333	0.011111	0.346470	0.608300	30.000000	30.000000	0.456923	0.400000	0.060148	1.873066
+195	335.500	0.065079	0.943877	0.334891	0.021751	1.818234	0.302326	0.774675	0.004947	1.004799	0.000000	0.000000	0.000000	0.004762	3.411111	0.150000	0.453333	-0.065757	0.000000	0.268889	0.000000	0.733333	0.005556	0.349173	0.608300	30.000000	30.000000	0.560141	0.333333	0.051689	2.149953
+196	337.458	0.049206	0.943936	0.334847	0.021737	1.784487	0.299389	0.784960	0.004911	1.006215	0.000000	0.000000	0.000000	0.004762	3.409524	0.105556	0.460000	-0.068280	0.000000	0.273889	0.000000	0.733333	0.005556	0.348017	0.641700	30.000000	30.000000	0.448112	0.500000	0.062334	2.000915
+197	339.160	0.049206	0.943937	0.334764	0.017358	1.763578	0.291045	0.770051	0.004889	1.008398	0.000000	0.000000	0.000000	0.004762	3.482540	0.111111	0.400000	-0.069117	0.000000	0.290556	0.000000	0.800000	0.005556	0.346150	0.541700	30.000000	30.000000	0.450753	0.300000	0.015717	2.077205
+198	341.157	0.085714	0.943937	0.334648	0.014726	1.786312	0.304094	0.771572	0.004864	1.007413	0.000000	0.000000	0.000000	0.004762	3.473016	0.172222	0.380000	-0.071995	0.000000	0.295000	0.000000	0.766667	0.005556	0.347935	0.641700	30.000000	30.000000	0.445756	0.300000	0.031787	1.892620
+199	342.937	0.085714	0.943937	0.334648	0.014726	1.786312	0.304094	0.771572	0.004864	1.007413	0.000000	0.000000	0.000000	0.004762	3.549206	0.111111	0.450000	-0.076800	0.000000	0.286111	0.000000	0.800000	0.005556	0.347494	0.641700	30.000000	30.000000	0.458887	0.400000	0.071172	1.683442
+200	343.131	0.068254	0.943913	0.334612	0.013981	1.763061	0.000000	0.759343	0.004820	1.007413	0.000000	0.000000	0.000000	0.004762	3.549206	0.111111	0.450000	-0.085392	0.000000	0.302778	0.000000	0.800000	0.005556	0.345509	0.541700	30.000000	30.000000	0.458887	0.400000	0.071172	1.683442
+201	346.780	0.061905	0.943914	0.334741	0.028717	1.745646	0.304260	0.772620	0.004798	1.003598	0.000000	0.000000	0.000000	0.006349	3.690476	0.133333	0.506667	-0.077014	0.000000	0.276667	0.000000	0.733333	0.000000	0.346552	0.691700	30.000000	30.000000	0.465228	0.500000	0.088679	1.933571
+202	348.734	0.076190	0.943926	0.334738	0.086462	1.786314	0.307368	0.767995	0.004753	1.004976	0.000000	0.000000	0.000000	0.004762	3.619048	0.161111	0.486667	-0.078239	0.000000	0.270556	0.000000	0.666667	0.000000	0.349052	0.658300	30.000000	30.000000	0.429857	0.300000	0.040673	2.048880
+203	350.501	0.084127	0.943975	0.334943	0.107900	1.791266	0.311321	0.767695	0.004640	1.001338	0.000000	0.000000	0.000000	0.004762	3.541270	0.127778	0.483333	-0.084758	0.000000	0.274444	0.000000	0.633333	0.000000	0.347869	0.658300	30.000000	30.000000	0.426571	0.500000	0.079264	1.781096
+204	352.523	0.063492	0.943927	0.334711	0.074085	1.770871	0.284314	0.767808	0.004868	0.997698	0.000000	0.000000	0.000000	0.006349	3.574603	0.088889	0.450000	-0.075183	0.000000	0.274444	0.000000	0.800000	0.000000	0.345471	0.591700	30.000000	30.000000	0.438560	0.500000	0.139241	1.702730
+205	354.270	0.077778	0.943939	0.334716	0.086677	1.764414	0.288372	0.770902	0.004872	0.997562	0.000000	0.000000	0.000000	0.007937	3.563492	0.144444	0.476667	-0.066199	0.000000	0.279444	0.000000	0.833333	0.000000	0.345839	0.591700	30.000000	30.000000	0.427561	0.500000	0.101002	1.639105
+206	356.229	0.052381	0.943978	0.334718	0.098857	1.740516	0.274390	0.776329	0.004861	1.002332	0.000000	0.000000	0.000000	0.004762	3.609524	0.088889	0.543333	-0.068063	0.000000	0.281111	0.000000	0.733333	0.000000	0.345628	0.658300	30.000000	30.000000	0.426147	0.300000	0.051071	1.820681
+207	358.117	0.073016	0.943880	0.335003	0.051755	1.769388	0.273585	0.776924	0.004848	0.997413	0.000000	0.000000	0.000000	0.004762	3.606349	0.144444	0.600000	-0.082082	0.000000	0.290000	0.000000	0.733333	0.000000	0.346981	0.625000	30.000000	30.000000	0.414306	0.400000	0.065591	1.830303
+208	360.086	0.063492	0.943880	0.334607	0.030013	1.756154	0.316027	0.781637	0.005060	0.995239	0.000000	0.000000	0.000000	0.004762	3.703175	0.127778	0.566667	-0.077309	0.000000	0.295556	0.000000	0.700000	0.000000	0.348659	0.608300	30.000000	30.000000	0.411036	0.200000	0.022080	1.422093
+209	361.879	0.076190	0.943915	0.334613	0.033203	1.787689	0.325275	0.767255	0.005269	0.990516	0.000000	0.000000	0.000000	0.007937	3.553968	0.177778	0.560000	-0.068992	0.000000	0.304444	0.000000	0.700000	0.000000	0.352820	0.608300	30.000000	30.000000	0.408315	0.300000	0.080786	1.735347

20260517_084219/trial_001/nxon2_024722855__MembraneDiag.txt

@@ -0,0 +1,41 @@
+# Neuraxon Game of Life v4.87 — Membrane diagnostics
+# game_id=nxon2_024722855
+# rows=36
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
+tick	nxer_id	neuron_id	layer	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+100	0	6	hidden	-0.604939	0.090781	0.018755	0	0.113013	2	105.028325
+100	0	7	hidden	0.173278	0.060550	0.013283	0	0.092427	5	117.929078
+100	0	8	hidden	0.253640	0.048775	0.014987	1	0.108497	1	123.194156
+100	0	0	input	0.032625	0.135462	0.024179	0	0.133704	1	92.795080
+100	0	1	input	-0.303830	0.071642	0.020226	0	0.118131	2	129.739907
+100	0	2	input	-0.696498	0.085521	0.023978	0	0.132563	2	87.699325
+100	1	6	hidden	0.228428	0.083605	0.019449	0	0.132290	6	111.875301
+100	1	7	hidden	0.658922	0.097828	0.021090	0	0.138356	1	104.908895
+100	1	8	hidden	0.008041	0.117990	0.023867	0	0.147416	3	115.172420
+100	1	0	input	-0.728062	0.080339	0.020675	-1	0.145912	1	86.366392
+100	1	1	input	0.143756	0.100158	0.022627	0	0.143654	2	103.919259
+100	1	2	input	0.013617	0.079860	0.019428	0	0.132199	4	105.626000
+100	2	6	hidden	-0.670442	0.079637	0.019039	-1	0.148003	1	84.804844
+100	2	7	hidden	0.605958	0.080142	0.017682	1	0.143642	1	99.411896
+100	2	8	hidden	0.741459	0.095251	0.021216	0	0.147030	1	84.441780
+100	2	0	input	0.086564	0.082534	0.020550	1	0.153238	1	56.061888
+100	2	1	input	0.868418	0.090798	0.022393	0	0.150319	3	94.288714
+100	2	2	input	-0.438704	0.099996	0.020667	0	0.143954	5	74.854321
+200	0	6	hidden	-0.808959	0.078473	0.029807	0	0.115422	6	114.907007
+200	0	7	hidden	-0.027156	0.108814	0.027458	0	0.110599	2	121.278366
+200	0	8	hidden	-0.342319	0.091129	0.029553	0	0.116296	4	124.319526
+200	0	0	input	0.093337	0.103359	0.033077	0	0.125724	4	102.063355
+200	0	1	input	-0.001151	0.089646	0.033027	0	0.127755	1	148.462430
+200	0	2	input	-1.395818	0.078755	0.034657	0	0.131401	3	93.278428
+200	1	6	hidden	-0.533387	0.110195	0.034074	0	0.137801	1	86.631928
+200	1	7	hidden	0.787573	0.080445	0.033054	0	0.132834	5	112.497700
+200	1	8	hidden	1.217020	0.096975	0.034298	0	0.135072	4	111.140620
+200	1	0	input	-0.726881	0.108854	0.034267	0	0.136907	3	75.688941
+200	1	1	input	0.312561	0.077943	0.033901	0	0.135131	5	100.286688
+200	1	2	input	-0.128992	0.096263	0.032309	0	0.131157	3	95.094340
+200	2	6	hidden	0.902541	0.109773	0.033783	0	0.139695	1	59.129806
+200	2	7	hidden	-1.146220	0.100699	0.032757	0	0.136203	4	76.296649
+200	2	8	hidden	0.658639	0.080316	0.032804	0	0.134276	7	62.100530
+200	2	0	input	0.475747	0.074953	0.032487	0	0.133114	5	20.573134
+200	2	1	input	-0.635395	0.078479	0.031725	1	0.139345	1	74.028636
+200	2	2	input	0.757872	0.094890	0.034550	0	0.141401	2	48.785979

20260517_084219/trial_001__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 1,
+    "sampled_at": "2026-05-17T08:42:20"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 13.675708587101086,
+    "max_atrophy": 8.73907923463846,
+    "metabolic_rate_abs_cap_multiple": 58.602019726927274,
+    "idle_explore_seconds": 1.1327756298583778,
+    "explore_probability": 0.5312243787639362,
+    "mate_cooldown_seconds": 19,
+    "circadian_cycle_ticks": 943
+  },
+  "neural": {
+    "num_hidden_neurons_default": 17,
+    "connection_probability": 0.32320564357702863,
+    "afferent_synapse_strength": 1.4454862034579081,
+    "firing_threshold_excitatory": 0.4137473150966987,
+    "spontaneous_firing_rate": 0.0094056079454035,
+    "intrinsic_timescale_default": 14.366535199246357,
+    "resting_potential_decay": 0.11994799423090688,
+    "sensorimotor_coupling": 0.6983726590830905,
+    "symmetric_stdp": false,
+    "refractory_period_ticks": 6,
+    "post_spike_mp_reset": 0.2779736031100921,
+    "sphere_topology": "chc6",
+    "cross_sphere_coupling": 2.105460940375654,
+    "cryst_capacity": 1.8670953310733345,
+    "free_energy_beta": 0.42138426628353215
+  },
+  "operating_ranges": {
+    "learning_rate": 0.015476712432532746,
+    "plasticity_threshold": 0.4459328715880337,
+    "autoreceptor_coefficient": 0.12403619342337653,
+    "adaptation_tau_ticks": 18.38028123085951,
+    "fitness_g_weight": 0.6349782881970603
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 3.698081694808926,
+    "firing_threshold_jitter": 0.04049217401764169,
+    "mutation_strength": 0.14030085335075831,
+    "metabolic_rate_multiplier_range": [
+      0.7869489569603978,
+      1.1846460088332844
+    ]
+  }
+}

20260517_084219/trial_002/nxon2_117492643__KeyMetrics.txt

@@ -0,0 +1,191 @@
+# Neuraxon Game of Life v4.87 — Key metrics export
+# game_id=nxon2_117492643
+# samples=185
+# 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, surv_original_count, g_pc1_fraction, g_positive_manifold, g_mean_offdiag_r, g_lambda1_over_lambda2
+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	surv_original_count	g_pc1_fraction	g_positive_manifold	g_mean_offdiag_r	g_lambda1_over_lambda2
+1	1.244	0.000000	0.933027	0.000000	0.000000	1.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.966667	0.000000	0.000000	0.000000	0.000000	0.016667	0.000000	1.000000	0.000000	0.000000	0.625000	30.000000	30.000000	0.000000	0.000000	0.000000	0.000000
+2	1.933	0.055556	0.933027	0.000000	0.000000	1.435000	0.231903	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.823810	0.150000	0.106667	0.000000	0.000000	0.024444	0.000000	0.733333	0.000000	0.000000	0.891700	30.000000	30.000000	0.359169	0.000000	-0.065293	1.022810
+3	2.656	0.049206	0.933027	0.000000	0.000000	1.425200	0.263081	0.416667	0.000000	1.000000	0.000000	0.000000	0.000000	0.000000	2.412698	0.105556	0.100000	0.000000	0.000000	0.035556	0.000000	0.866667	0.000000	0.000000	0.758300	30.000000	30.000000	0.442303	0.333333	0.078354	1.334497
+4	3.347	0.050794	0.932936	0.000000	0.764154	1.488163	0.217105	0.712778	0.000000	1.000000	0.000000	0.000000	0.000000	0.000000	2.917460	0.116667	0.193333	0.000000	0.000000	0.034444	0.000000	0.700000	0.000000	0.000000	0.891700	30.000000	30.000000	0.451110	0.333333	-0.063885	1.455138
+5	4.003	0.044444	0.932936	0.000000	0.473505	1.459449	0.253612	0.880734	0.000000	0.711111	0.000000	0.000000	0.000000	0.000000	3.417460	0.138889	0.140000	0.000000	0.000000	0.042222	0.000000	0.766667	0.000000	0.000000	0.758300	30.000000	30.000000	0.447495	0.666667	0.109226	1.251200
+6	4.701	0.044444	0.933027	0.000000	0.324243	1.497115	0.212214	0.958482	0.000000	0.800000	0.000000	0.000000	0.000000	0.000000	3.782540	0.183333	0.193333	0.000000	0.000000	0.052222	0.000000	0.866667	0.000000	0.000000	0.758300	30.000000	30.000000	0.400048	1.000000	0.098271	1.274691
+7	5.420	0.057143	0.932936	0.000000	0.260973	1.517375	0.194847	0.984103	0.000000	0.818713	0.000000	0.000000	0.000000	0.000000	4.066667	0.133333	0.163333	0.000000	0.000000	0.063333	0.000000	0.866667	0.000000	0.000000	0.691700	30.000000	30.000000	0.431185	0.333333	-0.040298	1.475088
+8	6.176	0.065079	0.932936	0.000000	0.241233	1.557867	0.209480	0.879927	0.000000	0.640244	0.000000	0.000000	0.000000	0.000000	4.368254	0.144444	0.233333	0.031172	0.000000	0.065000	0.000000	0.733333	0.000000	0.000000	0.825000	30.000000	30.000000	0.556116	1.000000	0.112232	1.252840
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+154	297.516	0.163752	0.932963	0.333429	0.026043	1.159898	0.373665	0.582994	0.003723	0.986323	0.000000	0.000000	0.000000	0.001590	2.108108	0.544444	0.586667	0.037246	0.233333	0.256111	0.000000	0.266667	0.233333	0.337940	0.708300	30.000000	30.000000	0.445843	0.733333	0.246686	1.957032
+155	299.527	0.136725	0.932960	0.333426	0.025973	1.145503	0.328846	0.589861	0.003841	0.987730	0.000000	0.000000	0.000000	0.001590	2.149444	0.461111	0.606667	0.017972	0.238889	0.262778	0.000000	0.333333	0.238889	0.333254	0.641700	30.000000	30.000000	0.449277	0.866667	0.233978	2.116028
+156	301.638	0.146264	0.932962	0.333482	0.025888	1.146613	0.330373	0.584606	0.003857	0.984378	0.000000	0.000000	0.000000	0.001590	2.165342	0.450000	0.496667	0.015598	0.250000	0.273889	0.000000	0.266667	0.250000	0.329984	0.641700	30.000000	30.000000	0.454387	0.933333	0.284793	1.887804
+157	303.673	0.141494	0.932879	0.333486	0.025816	1.140110	0.361266	0.588741	0.003844	0.982103	0.000000	0.000000	0.000000	0.001590	2.263911	0.522222	0.616667	0.005451	0.255556	0.260000	0.000000	0.233333	0.255556	0.327611	0.808300	30.000000	30.000000	0.455910	0.800000	0.280992	1.916058
+158	305.765	0.151033	0.932881	0.333503	0.025730	1.136956	0.380228	0.590091	0.003598	0.976309	0.000000	0.000000	0.000000	0.003180	2.262321	0.488889	0.503333	-0.008750	0.255556	0.275000	0.000000	0.300000	0.255556	0.325865	0.641700	30.000000	30.000000	0.461080	0.866667	0.274966	2.515702
+159	307.786	0.151033	0.932881	0.333503	0.025730	1.136956	0.380228	0.590091	0.003598	0.976309	0.000000	0.000000	0.000000	0.003180	2.257552	0.488889	0.566667	0.007785	0.255556	0.286111	0.000000	0.266667	0.255556	0.327740	0.675000	30.000000	30.000000	0.460265	0.866667	0.277409	2.118867
+160	307.965	0.165342	0.932965	0.333478	0.025409	1.133347	0.000000	0.588021	0.003460	0.975756	0.000000	0.000000	0.000000	0.003180	2.257552	0.488889	0.566667	0.019626	0.255556	0.302778	0.000000	0.266667	0.255556	0.328203	0.541700	30.000000	30.000000	0.460265	0.866667	0.277409	2.118867
+161	312.437	0.143084	0.932883	0.333428	0.021584	1.134336	0.334615	0.587222	0.003246	0.976114	0.000000	0.000000	0.000000	0.003180	2.171701	0.522222	0.580000	0.002818	0.261111	0.294444	0.000000	0.300000	0.261111	0.325797	0.825000	30.000000	30.000000	0.466325	0.733333	0.236827	2.478503
+162	314.507	0.147854	0.932883	0.333395	0.021525	1.128442	0.316726	0.597038	0.003336	0.980800	0.000000	0.000000	0.000000	0.003180	2.138315	0.483333	0.536667	0.012623	0.261111	0.297778	0.000000	0.266667	0.261111	0.321561	0.758300	30.000000	30.000000	0.462541	0.800000	0.270032	1.988786
+163	316.536	0.155803	0.933000	0.333386	0.021479	1.118352	0.273077	0.593639	0.003113	0.979449	0.000000	0.000000	0.000000	0.006359	2.209857	0.450000	0.536667	0.010365	0.272222	0.311667	0.000000	0.266667	0.272222	0.316993	0.575000	30.000000	30.000000	0.464818	0.800000	0.280222	1.950916
+164	318.591	0.146497	0.932967	0.333351	0.021420	1.131775	0.336484	0.590080	0.003120	0.976880	0.000000	0.000000	0.000000	0.006369	2.297771	0.516667	0.536667	0.016138	0.277778	0.326111	0.000000	0.333333	0.277778	0.315576	0.575000	30.000000	30.000000	0.499356	1.000000	0.364281	2.422087
+165	320.593	0.159236	0.932973	0.333342	0.021370	1.132139	0.323993	0.581619	0.003109	0.977991	0.000000	0.000000	0.000000	0.006369	2.189490	0.516667	0.560000	0.019926	0.277778	0.323333	0.000000	0.200000	0.277778	0.315951	0.625000	30.000000	30.000000	0.466713	0.800000	0.242180	2.229970
+166	322.667	0.143312	0.932885	0.333350	0.021308	1.123445	0.341030	0.567161	0.003057	0.970119	0.000000	0.000000	0.000000	0.003185	2.144904	0.505556	0.536667	0.024983	0.283333	0.319444	0.000000	0.266667	0.283333	0.313451	0.691700	30.000000	30.000000	0.463014	0.800000	0.257603	2.176349
+167	324.708	0.151274	0.932878	0.333343	0.021259	1.124307	0.337209	0.565394	0.003051	0.969128	0.000000	0.000000	0.000000	0.001592	2.130573	0.494444	0.526667	0.029595	0.283333	0.326667	0.000000	0.400000	0.283333	0.310238	0.625000	30.000000	30.000000	0.461217	0.866667	0.276694	2.296156
+168	326.774	0.151274	0.932969	0.333340	0.021438	1.119570	0.332046	0.565232	0.002986	0.974789	0.000000	0.000000	0.000000	0.004777	2.222930	0.550000	0.546667	0.040123	0.283333	0.334444	0.000000	0.233333	0.283333	0.310334	0.591700	30.000000	30.000000	0.515708	0.866667	0.350670	1.995038
+169	328.800	0.151274	0.932969	0.333340	0.021438	1.119570	0.332046	0.565232	0.002986	0.974789	0.000000	0.000000	0.000000	0.001592	2.221338	0.538889	0.523333	0.039255	0.283333	0.348333	0.000000	0.266667	0.283333	0.310316	0.558300	30.000000	30.000000	0.484461	1.000000	0.324115	2.176671
+170	328.966	0.149682	0.932885	0.333353	0.021186	1.116644	0.000000	0.542177	0.003024	0.970880	0.000000	0.000000	0.000000	0.001592	2.221338	0.538889	0.523333	0.037319	0.294444	0.365000	0.000000	0.266667	0.294444	0.307602	0.491700	30.000000	30.000000	0.484461	1.000000	0.324115	2.176671
+171	332.890	0.148089	0.932956	0.333344	0.025163	1.115261	0.332086	0.540365	0.003000	0.972915	0.000000	0.000000	0.000000	0.003185	2.186306	0.555556	0.523333	0.043827	0.294444	0.340556	0.000000	0.333333	0.294444	0.309298	0.725000	30.000000	30.000000	0.494670	0.933333	0.351950	2.355255
+172	334.961	0.168790	0.932878	0.333342	0.023593	1.114188	0.347140	0.537317	0.003137	0.975119	0.000000	0.000000	0.000000	0.006369	2.175159	0.566667	0.596667	0.032119	0.294444	0.338333	0.000000	0.233333	0.294444	0.309443	0.691700	30.000000	30.000000	0.488830	1.000000	0.348862	2.015883
+173	336.979	0.154459	0.932886	0.333365	0.022887	1.108419	0.311508	0.547279	0.003240	0.973058	0.000000	0.000000	0.000000	0.009554	2.179936	0.505556	0.633333	0.028965	0.305556	0.351667	0.000000	0.333333	0.305556	0.303547	0.625000	30.000000	30.000000	0.484975	0.933333	0.314068	2.746766
+174	339.059	0.146497	0.932958	0.333384	0.020446	1.107047	0.318786	0.538954	0.003233	0.973795	0.000000	0.000000	0.000000	0.009554	2.202229	0.505556	0.550000	0.022469	0.327778	0.359444	0.000000	0.266667	0.327778	0.296173	0.658300	30.000000	30.000000	0.467333	1.000000	0.334422	2.172264
+175	341.081	0.141720	0.933005	0.333381	0.021754	1.099880	0.300403	0.536367	0.003191	0.981278	0.000000	0.000000	0.000000	0.004777	2.246815	0.538889	0.520000	0.017684	0.327778	0.372778	0.000000	0.300000	0.327778	0.296397	0.625000	30.000000	30.000000	0.460224	0.933333	0.320968	2.036744
+176	343.170	0.171975	0.932959	0.333401	0.021693	1.105607	0.346979	0.548039	0.003333	0.979318	0.000000	0.000000	0.000000	0.003185	2.195860	0.555556	0.593333	0.016134	0.327778	0.383333	0.000000	0.300000	0.327778	0.296930	0.625000	30.000000	30.000000	0.452088	0.866667	0.281389	2.233074
+177	345.193	0.152866	0.932960	0.333429	0.021642	1.100770	0.307385	0.546188	0.003350	0.983012	0.000000	0.000000	0.000000	0.001592	2.156051	0.538889	0.573333	0.005641	0.333333	0.391667	0.000000	0.233333	0.333333	0.294088	0.625000	30.000000	30.000000	0.448776	0.933333	0.287102	2.102891
+178	347.296	0.143312	0.932974	0.333415	0.021579	1.094282	0.281947	0.551866	0.003325	0.978019	0.000000	0.000000	0.000000	0.001592	2.213376	0.505556	0.516667	0.015361	0.338889	0.406667	0.000000	0.366667	0.338889	0.291416	0.558300	30.000000	30.000000	0.459800	0.933333	0.324666	1.970392
+179	349.329	0.143312	0.932974	0.333415	0.021579	1.094282	0.281947	0.551866	0.003325	0.978019	0.000000	0.000000	0.000000	0.000000	2.329618	0.533333	0.546667	0.009448	0.338889	0.423333	0.000000	0.333333	0.338889	0.290982	0.491700	30.000000	30.000000	0.450539	0.866667	0.285248	2.043720
+180	349.501	0.160828	0.932884	0.333481	0.021335	1.095505	0.000000	0.558607	0.003447	0.975685	0.000000	0.000000	0.000000	0.000000	2.329618	0.533333	0.546667	0.000438	0.344444	0.440000	0.000000	0.333333	0.344444	0.288640	0.491700	30.000000	30.000000	0.450539	0.866667	0.285248	2.043720
+181	353.405	0.153110	0.932893	0.333483	0.023617	1.092905	0.314423	0.560203	0.003561	0.975960	0.000000	0.000000	0.000000	0.004785	2.285486	0.516667	0.506667	-0.011424	0.344444	0.443333	0.000000	0.400000	0.344444	0.286817	0.608300	30.000000	30.000000	0.451016	0.933333	0.303993	1.938247
+182	355.493	0.156300	0.932964	0.333418	0.023820	1.093268	0.346416	0.561170	0.003552	0.980301	0.000000	0.000000	0.000000	0.004785	2.263158	0.561111	0.570000	-0.031633	0.344444	0.447222	0.000000	0.200000	0.344444	0.287041	0.608300	30.000000	30.000000	0.458467	1.000000	0.310708	2.482997
+183	357.523	0.165869	0.932885	0.333429	0.024241	1.097636	0.336049	0.555189	0.003403	0.976011	0.000000	0.000000	0.000000	0.007974	2.216906	0.544444	0.543333	-0.023480	0.350000	0.455000	0.000000	0.266667	0.350000	0.285836	0.541700	30.000000	30.000000	0.450272	0.933333	0.289328	2.290650
+184	359.622	0.153110	0.932985	0.333424	0.024170	1.090682	0.320312	0.555974	0.003388	0.974446	0.000000	0.000000	0.000000	0.003190	2.170654	0.544444	0.553333	-0.020542	0.355556	0.461111	0.000000	0.333333	0.355556	0.282272	0.575000	30.000000	30.000000	0.450888	0.933333	0.308365	1.909712
+185	361.649	0.143541	0.932960	0.333423	0.024109	1.087217	0.296137	0.561198	0.003302	0.975158	0.000000	0.000000	0.000000	0.003190	2.264753	0.527778	0.560000	-0.010132	0.355556	0.471111	0.000000	0.333333	0.355556	0.281580	0.575000	30.000000	30.000000	0.409372	0.933333	0.233334	2.214249

20260517_084219/trial_002/nxon2_117492643__MembraneDiag.txt

@@ -0,0 +1,23 @@
+# Neuraxon Game of Life v4.87 — Membrane diagnostics
+# game_id=nxon2_117492643
+# rows=18
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
+tick	nxer_id	neuron_id	layer	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+100	0	6	hidden	0.254159	0.130924	0.037022	-1	0.204538	1	109.395694
+100	0	7	hidden	-0.491524	0.141110	0.029642	0	0.169621	4	119.712955
+100	0	8	hidden	-0.380709	0.146541	0.031780	0	0.178411	2	76.046859
+100	0	0	input	-0.307087	0.137604	0.029271	0	0.167838	4	99.356858
+100	0	1	input	0.708658	0.134797	0.031123	0	0.174819	3	111.320419
+100	0	2	input	0.636294	0.139387	0.033071	1	0.192138	1	90.214916
+100	1	6	hidden	0.218571	0.168227	0.036789	0	0.176620	1	38.228935
+100	1	7	hidden	0.174180	0.120744	0.032766	-1	0.169371	1	0.000000
+100	1	8	hidden	-0.289034	0.161477	0.039227	0	0.183608	1	9.721671
+100	1	0	input	0.217487	0.145012	0.033846	-1	0.181526	1	0.000000
+100	1	1	input	0.757515	0.126591	0.029411	1	0.164687	1	0.000000
+100	1	2	input	0.611614	0.135625	0.034855	0	0.165505	8	14.740410
+100	2	6	hidden	0.700814	0.187927	0.045369	0	0.240403	1	79.060330
+100	2	7	hidden	-0.283215	0.173778	0.040075	0	0.220609	1	110.539491
+100	2	8	hidden	-0.659775	0.136357	0.035925	0	0.203940	5	92.501875
+100	2	0	input	0.003970	0.153249	0.040051	0	0.217615	1	101.956888
+100	2	1	input	0.876980	0.180369	0.045334	0	0.237311	1	94.065762
+100	2	2	input	-0.117012	0.166689	0.039138	0	0.215370	2	57.052756

20260517_084219/trial_002__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 2,
+    "sampled_at": "2026-05-17T08:42:20"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 13.010591334933011,
+    "max_atrophy": 4.464804848598631,
+    "metabolic_rate_abs_cap_multiple": 24.862702189596735,
+    "idle_explore_seconds": 1.990289870703219,
+    "explore_probability": 0.23356276852957036,
+    "mate_cooldown_seconds": 19,
+    "circadian_cycle_ticks": 332
+  },
+  "neural": {
+    "num_hidden_neurons_default": 16,
+    "connection_probability": 0.2703494361066987,
+    "afferent_synapse_strength": 0.6794263262538567,
+    "firing_threshold_excitatory": 0.6739408372556634,
+    "spontaneous_firing_rate": 0.024094772943053604,
+    "intrinsic_timescale_default": 23.794113955817473,
+    "resting_potential_decay": 0.15315663601353516,
+    "sensorimotor_coupling": 1.4976937784768318,
+    "symmetric_stdp": true,
+    "refractory_period_ticks": 2,
+    "post_spike_mp_reset": 0.26488016649805246,
+    "sphere_topology": "chc6",
+    "cross_sphere_coupling": 1.0859893311408328,
+    "cryst_capacity": 2.494651555978322,
+    "free_energy_beta": 0.535163966314455
+  },
+  "operating_ranges": {
+    "learning_rate": 0.004423850642103479,
+    "plasticity_threshold": 0.5245472536652602,
+    "autoreceptor_coefficient": 0.10254832170458705,
+    "adaptation_tau_ticks": 33.38343960894162,
+    "fitness_g_weight": 0.493515834889631
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 1.2227305547860885,
+    "firing_threshold_jitter": 0.02399730025836754,
+    "mutation_strength": 0.10846255775452253,
+    "metabolic_rate_multiplier_range": [
+      0.8645237551368081,
+      1.5236066003166662
+    ]
+  }
+}

20260517_084219/trial_003/nxon2_729357211__MembraneDiag.txt

@@ -0,0 +1,113 @@
+# Neuraxon Game of Life v4.87 — Membrane diagnostics
+# game_id=nxon2_729357211
+# rows=108
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
+tick	nxer_id	neuron_id	layer	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+100	0	6	hidden	-0.124892	0.042320	0.007714	0	0.060981	9	119.913958
+100	0	7	hidden	-0.004779	0.042465	0.008056	0	0.062957	4	110.160614
+100	0	8	hidden	-0.213284	0.000000	0.000000	-1	0.041021	1	142.896115
+100	0	0	input	-0.230633	0.047765	0.007961	0	0.062392	4	92.468254
+100	0	1	input	-0.231995	0.041326	0.007995	0	0.062578	5	141.310962
+100	0	2	input	-0.401850	0.023342	0.004006	0	0.046834	19	127.017685
+100	1	6	hidden	-0.891135	0.061592	0.018824	0	0.093955	6	126.586054
+100	1	7	hidden	-0.373867	0.072630	0.015960	0	0.084201	7	112.692460
+100	1	8	hidden	-0.427073	0.080844	0.017694	0	0.090926	2	103.192811
+100	1	0	input	0.585960	0.046653	0.012129	1	0.079434	1	122.250454
+100	1	1	input	-0.534881	0.059836	0.016012	0	0.084751	3	103.098638
+100	1	2	input	-0.208873	0.082476	0.018298	0	0.094173	1	112.493701
+100	2	6	hidden	0.323176	0.055849	0.017474	-1	0.140059	1	79.695646
+100	2	7	hidden	-0.816436	0.072843	0.018863	0	0.134929	2	97.379603
+100	2	8	hidden	-0.202548	0.071448	0.017290	0	0.129513	5	83.699984
+100	2	0	input	0.355175	0.059592	0.015735	-1	0.133729	1	89.657386
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20260517_084219/trial_003__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 3,
+    "sampled_at": "2026-05-17T08:42:20"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 11.542544491711581,
+    "max_atrophy": 6.694358707605751,
+    "metabolic_rate_abs_cap_multiple": 38.98619827477866,
+    "idle_explore_seconds": 1.32970975312629,
+    "explore_probability": 0.350848471989088,
+    "mate_cooldown_seconds": 14,
+    "circadian_cycle_ticks": 1181
+  },
+  "neural": {
+    "num_hidden_neurons_default": 6,
+    "connection_probability": 0.35408502307695555,
+    "afferent_synapse_strength": 0.737462091580424,
+    "firing_threshold_excitatory": 0.6654365350387327,
+    "spontaneous_firing_rate": 0.04009746965152188,
+    "intrinsic_timescale_default": 24.90917211846381,
+    "resting_potential_decay": 0.1850438682577613,
+    "sensorimotor_coupling": 0.8805003859422784,
+    "symmetric_stdp": false,
+    "refractory_period_ticks": 7,
+    "post_spike_mp_reset": 0.0032453161017292897,
+    "sphere_topology": "sensory_association_motor",
+    "cross_sphere_coupling": 2.611555709510301,
+    "cryst_capacity": 1.0968895828972658,
+    "free_energy_beta": 1.3862141412722089
+  },
+  "operating_ranges": {
+    "learning_rate": 0.020439552260656982,
+    "plasticity_threshold": 0.5878722675543697,
+    "autoreceptor_coefficient": 0.2443776197740229,
+    "adaptation_tau_ticks": 40.47848796208258,
+    "fitness_g_weight": 0.6089702114381723
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 4.315032240957006,
+    "firing_threshold_jitter": 0.11679397179458373,
+    "mutation_strength": 0.08894597738537308,
+    "metabolic_rate_multiplier_range": [
+      0.6534937439923721,
+      1.4693809400413333
+    ]
+  }
+}

20260517_084219/trial_004/nxon2_005929900__LifespanLog.txt

@@ -0,0 +1,8 @@
+# Neuraxon Game of Life v4.87 — Per-NxEr lifespan log
+# game_id=nxon2_005929900
+# rows=1 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=29
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+24	1	375	374	1

20260517_084219/trial_004/nxon2_005929900__MembraneDiag.txt

@@ -0,0 +1,95 @@
+# Neuraxon Game of Life v4.87 — Membrane diagnostics
+# game_id=nxon2_005929900
+# rows=90
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
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