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20260517_100418/nas_best.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t123",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 123, fitness 6.9218. 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": 123,
+    "fitness": 6.921775299611479,
+    "saved_at": "2026-05-17T11:04:56",
+    "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": 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": 12,
+    "circadian_cycle_ticks": 910,
+    "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": 7,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.2331824537927049,
+    "afferent_synapse_strength": 1.780833758217287,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.6962581913098517,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.007834254159691023,
+    "intrinsic_timescale_default": 30.0,
+    "resting_potential_decay": 0.1274815869723589,
+    "sensorimotor_coupling": 2.8424494104289426,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 1,
+    "_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": 1.507719434223788,
+    "cryst_capacity": 0.8372718034954136,
+    "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": 20.614700332998936,
+    "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": 0.0
+  },
+  "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": [
+      0.8723059637599709,
+      1.3322808766850556
+    ],
+    "_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": 0.12637950061700834,
+    "_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": 0.09327034447606845,
+    "_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_100418/nas_top1.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t123",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 123, fitness 6.9218. 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": 123,
+    "fitness": 6.921775299611479,
+    "saved_at": "2026-05-17T11:05:00",
+    "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": 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": 12,
+    "circadian_cycle_ticks": 910,
+    "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": 7,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.2331824537927049,
+    "afferent_synapse_strength": 1.780833758217287,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.6962581913098517,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.007834254159691023,
+    "intrinsic_timescale_default": 30.0,
+    "resting_potential_decay": 0.1274815869723589,
+    "sensorimotor_coupling": 2.8424494104289426,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 1,
+    "_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": 1.507719434223788,
+    "cryst_capacity": 0.8372718034954136,
+    "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": 20.614700332998936,
+    "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": 0.0
+  },
+  "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": [
+      0.8723059637599709,
+      1.3322808766850556
+    ],
+    "_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": 0.12637950061700834,
+    "_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": 0.09327034447606845,
+    "_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_100418/nas_top2.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t098",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 98, fitness 6.9158. 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": 98,
+    "fitness": 6.915812116711393,
+    "saved_at": "2026-05-17T11:05:00",
+    "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": 3.8598403549546276,
+    "_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": 4.27292005478138,
+    "_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": 38.323679278932914,
+    "_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": 18,
+    "circadian_cycle_ticks": 356,
+    "idle_explore_seconds": 0.5000716177937132,
+    "explore_probability": 0.5062252124197008,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 20,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.1895833019463297,
+    "afferent_synapse_strength": 1.0985094886135918,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.569173355529614,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.023541215226549398,
+    "intrinsic_timescale_default": 22.800889669002128,
+    "resting_potential_decay": 0.17704239100828778,
+    "sensorimotor_coupling": 0.06531137367968354,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 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": 0.7458044828318157,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update.",
+    "sphere_topology": "sensory_association_motor",
+    "cross_sphere_coupling": 2.8037483966548393,
+    "cryst_capacity": 0.6380382923206276,
+    "free_energy_beta": 1.887418456394382
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.012866915550354806,
+    "plasticity_threshold": 0.3181159210911315,
+    "adaptation_tau_ticks": 12.55039648448333,
+    "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": 0.11890577331242691,
+    "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": 0.0
+  },
+  "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": [
+      0.7431034275367369,
+      1.4729346344209155
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 6.126621463389694,
+    "_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": 0.14674999273861514,
+    "_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": 0.10396450635263126,
+    "_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_100418/nas_top3.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t090",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 90, fitness 6.8999. 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": 90,
+    "fitness": 6.8999498032415705,
+    "saved_at": "2026-05-17T11:05:00",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 15.554757846295486,
+    "_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": 7.317524886191797,
+    "_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": 53.88769800776683,
+    "_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": 11,
+    "circadian_cycle_ticks": 346,
+    "idle_explore_seconds": 1.9005177393906623,
+    "explore_probability": 0.6583140584971938,
+    "_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": 18,
+    "_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": 0.16534730621490248,
+    "afferent_synapse_strength": 1.2741802381991323,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5087571327832854,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.011129638921683668,
+    "intrinsic_timescale_default": 16.499674149555126,
+    "resting_potential_decay": 0.21258859516010453,
+    "sensorimotor_coupling": 1.6495712685522586,
+    "_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": 2,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.975082815413784,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update.",
+    "sphere_topology": "sensory_association_motor",
+    "cross_sphere_coupling": 0.5971736446573499,
+    "cryst_capacity": 1.7954411874555305,
+    "free_energy_beta": 1.1501324360700944
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.007106958103954313,
+    "plasticity_threshold": 0.6179588913523784,
+    "adaptation_tau_ticks": 47.557942678215014,
+    "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": 0.11781705999051306,
+    "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": 0.04530335246707473
+  },
+  "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": [
+      0.6479627307486321,
+      1.233172387944022
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 3.78995320316152,
+    "_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": 0.06854828389243109,
+    "_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": 0.09881386791249454,
+    "_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_100418/trial_000/nxon2_430391171__KeyMetrics.txt

@@ -0,0 +1,321 @@
+# Neuraxon Game of Life v4.88 — Key metrics export
+# game_id=nxon2_430391171
+# samples=315
+# 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	2.172	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	2.951	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	0.420317	0.200000	0.028542	1.403561
+3	3.917	0.098611	0.752002	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	0.438891	0.200000	-0.055875	1.527192
+4	4.724	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	0.463468	0.300000	0.012171	1.746051
+5	5.477	0.070833	0.752002	0.000000	0.296669	1.419544	0.205931	0.794186	0.000000	1.313131	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	0.442108	0.100000	-0.019877	1.830695
+6	6.290	0.094444	0.752002	0.000000	0.118493	1.452067	0.178934	0.948119	0.000000	0.923077	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	0.425514	0.200000	0.008634	1.774685
+7	7.062	0.090278	0.752002	0.000000	0.470612	1.461745	0.185241	0.891586	0.000000	1.054107	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	0.414485	0.200000	0.033727	1.445529
+8	7.928	0.086111	0.752002	0.000000	0.390134	1.463616	0.192261	1.087482	0.000000	1.069519	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	0.431561	0.500000	0.069991	1.754612
+9	8.775	0.086111	0.752002	0.000000	0.390134	1.463616	0.192261	1.087482	0.000000	1.069519	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	0.403975	0.600000	0.076247	1.543891
+10	8.831	0.087500	0.751588	0.000000	0.344767	1.450528	0.000000	0.836227	0.000000	0.808407	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	0.403979	0.600000	0.076319	1.544284
+11	12.200	0.104167	0.751591	0.000000	0.181419	1.477483	0.208708	0.905981	0.000000	0.841975	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	0.417402	0.900000	0.168641	1.724907
+12	14.100	0.097222	0.751658	0.000000	0.168841	1.454928	0.197436	0.867862	0.000000	0.836461	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	0.407611	0.500000	0.071988	1.755377
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+299	854.286	0.213675	0.750886	0.333461	0.113151	1.152585	0.308735	0.653083	0.003636	1.027607	0.000000	0.000000	0.000000	0.000000	1.921652	0.505556	0.456667	0.017667	0.288889	0.219444	0.000000	0.433333	0.288889	0.305417	0.691700	30.000000	30.000000	0.498452	0.866667	0.337036	1.949994
+300	854.658	0.206553	0.750484	0.333524	0.134947	1.148637	0.000000	0.651820	0.003712	1.034267	0.000000	0.000000	0.000000	0.000000	1.921652	0.505556	0.456667	0.020031	0.294444	0.236111	0.000000	0.433333	0.294444	0.306080	0.558300	30.000000	30.000000	0.498452	0.866667	0.337036	1.949994
+301	860.404	0.203704	0.750748	0.333479	0.140333	1.146821	0.333060	0.648793	0.003741	1.035337	0.000000	0.000000	0.000000	0.000000	2.059829	0.455556	0.463333	0.017555	0.294444	0.242222	0.000000	0.466667	0.294444	0.305705	0.758300	30.000000	30.000000	0.515589	0.866667	0.370320	2.011177
+302	863.603	0.213675	0.750742	0.333464	0.139326	1.155902	0.293706	0.643653	0.003827	1.036004	0.000000	0.000000	0.000000	0.000000	2.037037	0.422222	0.470000	0.009560	0.294444	0.254444	0.000000	0.366667	0.294444	0.302657	0.641700	30.000000	30.000000	0.487318	0.800000	0.305205	1.997903
+303	866.664	0.205128	0.750555	0.333478	0.139540	1.165858	0.307309	0.633843	0.003866	1.036189	0.000000	0.000000	0.000000	0.000000	1.992877	0.444444	0.350000	0.009251	0.294444	0.257222	0.000000	0.400000	0.294444	0.303551	0.608300	30.000000	30.000000	0.501794	0.866667	0.343667	2.052009
+304	870.070	0.195157	0.750875	0.333485	0.139567	1.153085	0.265758	0.640127	0.004321	1.036083	0.000000	0.000000	0.000000	0.000000	2.133903	0.433333	0.413333	-0.003104	0.294444	0.266667	0.000000	0.400000	0.294444	0.302651	0.641700	30.000000	30.000000	0.490484	0.866667	0.325677	1.970184
+305	872.939	0.189459	0.750358	0.333505	0.139634	1.175941	0.293796	0.637938	0.004151	1.036083	0.000000	0.000000	0.000000	0.000000	2.226496	0.455556	0.316667	-0.004380	0.300000	0.276111	0.000000	0.466667	0.300000	0.301597	0.675000	30.000000	30.000000	0.535834	0.866667	0.392371	2.262596
+306	876.316	0.207977	0.750546	0.333432	0.130913	1.197615	0.307914	0.627926	0.004268	1.035976	0.000000	0.000000	0.000000	0.000000	2.159544	0.461111	0.350000	-0.006420	0.300000	0.289444	0.000000	0.500000	0.300000	0.299793	0.591700	30.000000	30.000000	0.483360	0.866667	0.296230	1.995135
+307	879.171	0.223647	0.750545	0.333409	0.089251	1.190829	0.349180	0.625279	0.004223	1.035976	0.000000	0.000000	0.000000	0.000000	2.078348	0.466667	0.410000	-0.007682	0.300000	0.275556	0.000000	0.433333	0.300000	0.300289	0.791700	30.000000	30.000000	0.480510	0.866667	0.298077	1.978834
+308	882.258	0.192308	0.750730	0.333415	0.089229	1.181299	0.327974	0.636274	0.004479	1.035870	0.000000	0.000000	0.000000	0.001425	2.123932	0.483333	0.400000	-0.020321	0.300000	0.280000	0.000000	0.400000	0.300000	0.300520	0.658300	30.000000	30.000000	0.493268	0.866667	0.334463	1.968842
+309	884.951	0.192308	0.750730	0.333415	0.089229	1.181299	0.327974	0.636274	0.004479	1.035870	0.000000	0.000000	0.000000	0.001425	2.190883	0.472222	0.323333	-0.015411	0.300000	0.295556	0.033333	0.566667	0.300000	0.301141	0.541700	30.000000	30.000000	0.546439	0.866667	0.401973	2.372935
+310	885.236	0.196581	0.750725	0.333464	0.095322	1.179076	0.000000	0.654904	0.004339	1.035870	0.000000	0.000000	0.000000	0.001425	2.190883	0.472222	0.323333	-0.009937	0.300000	0.312222	0.000000	0.566667	0.300000	0.300204	0.508300	30.000000	30.000000	0.546439	0.866667	0.401973	2.372935
+311	891.113	0.200855	0.750848	0.333433	0.028405	1.186051	0.318219	0.639632	0.004597	1.036637	0.000000	0.000000	0.000000	0.000000	2.015670	0.450000	0.420000	-0.015490	0.300000	0.299444	0.000000	0.233333	0.300000	0.300525	0.691700	30.000000	30.000000	0.481178	0.800000	0.302170	1.871632
+312	894.524	0.206847	0.750450	0.333407	0.028536	1.179020	0.299703	0.652179	0.004499	1.036637	0.000000	0.000000	0.000000	0.000000	1.975749	0.438889	0.373333	-0.001996	0.300000	0.315556	0.066667	0.566667	0.300000	0.297965	0.475000	30.000000	30.000000	0.494075	0.866667	0.340350	1.925476
+313	897.376	0.208274	0.750840	0.333403	0.025772	1.181780	0.289474	0.649518	0.004371	1.036637	0.000000	0.000000	0.000000	0.001427	2.042796	0.422222	0.386667	0.010844	0.305556	0.303333	0.000000	0.400000	0.305556	0.294014	0.558300	30.000000	30.000000	0.485149	0.866667	0.318014	1.926220
+314	900.333	0.209700	0.750584	0.333431	0.031709	1.184889	0.321712	0.654224	0.004616	1.037692	0.000000	0.000000	0.000000	0.001427	2.075606	0.483333	0.433333	0.005941	0.305556	0.283333	0.066667	0.466667	0.305556	0.294027	0.575000	30.000000	30.000000	0.503022	0.866667	0.353649	1.948199
+315	904.373	0.201141	0.750709	0.333462	0.031915	1.178792	0.332253	0.657369	0.004605	1.039795	0.000000	0.000000	0.000000	0.001427	2.069900	0.455556	0.440000	0.015743	0.311111	0.289444	0.000000	0.366667	0.311111	0.293280	0.675000	30.000000	30.000000	0.526397	0.866667	0.375582	2.334823

20260517_100418/trial_000/nxon2_430391171__MembraneDiag.txt

@@ -0,0 +1,59 @@
+# Neuraxon Game of Life v4.88 — Membrane diagnostics
+# game_id=nxon2_430391171
+# rows=54
+# 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
+200	0	6	hidden	-0.443551	0.174034	0.053997	0	0.209580	2	74.251391
+200	0	7	hidden	0.311617	0.178560	0.054721	0	0.211547	1	100.386019
+200	0	8	hidden	-0.454150	0.174014	0.051925	-1	0.212892	1	83.996509
+200	0	0	input	0.396697	0.144675	0.053371	0	0.204584	1	82.273383
+200	0	1	input	-1.358813	0.156682	0.053608	0	0.207834	2	151.625557
+200	0	2	input	-0.210233	0.134111	0.050944	1	0.208399	1	113.803362
+200	1	6	hidden	0.219002	0.164751	0.055240	0	0.198255	3	4.584688
+200	1	7	hidden	-0.701689	0.130966	0.055223	0	0.196261	4	10.525722
+200	1	8	hidden	0.564846	0.134690	0.054038	1	0.200661	1	13.128814
+200	1	0	input	-1.123431	0.146795	0.054241	0	0.189951	4	8.409226
+200	1	1	input	-0.012539	0.124051	0.053559	1	0.199883	1	24.334867
+200	1	2	input	0.399722	0.157069	0.055885	1	0.207181	1	0.000000
+200	2	6	hidden	-0.957217	0.139041	0.048989	0	0.183230	2	7.134377
+200	2	7	hidden	-0.049986	0.139124	0.049081	1	0.193820	1	44.280998
+200	2	8	hidden	0.145204	0.152654	0.049109	0	0.185517	3	11.343519
+200	2	0	input	-0.821388	0.133436	0.051944	0	0.189605	3	7.325180
+200	2	1	input	-0.121854	0.126135	0.042759	-1	0.178970	1	0.000000
+200	2	2	input	-0.525315	0.135320	0.048725	-1	0.193356	1	40.051734
+300	0	6	hidden	-0.449645	0.124443	0.061380	0	0.200187	2	39.883498
+300	0	7	hidden	0.450170	0.194551	0.066342	0	0.220006	1	73.085396
+300	0	8	hidden	-0.266405	0.134001	0.058544	1	0.201105	1	62.446972
+300	0	0	input	-0.288498	0.115730	0.057799	-1	0.196539	1	67.021958
+300	0	1	input	-0.231142	0.125175	0.064930	1	0.223807	1	147.878420
+300	0	2	input	-0.331952	0.154721	0.063432	0	0.209940	3	112.644231
+300	1	6	hidden	0.098988	0.154644	0.055349	-1	0.206183	1	0.000000
+300	1	7	hidden	0.053434	0.144277	0.058440	-1	0.211374	1	0.000000
+300	1	8	hidden	-0.165866	0.131519	0.060996	1	0.215102	1	0.000000
+300	1	0	input	-0.443336	0.128146	0.058914	-1	0.205589	1	0.000000
+300	1	1	input	-0.116813	0.140670	0.064028	-1	0.216812	1	0.000000
+300	1	2	input	0.399722	0.157069	0.055885	1	0.207181	1	0.000000
+300	2	6	hidden	0.063233	0.116099	0.051968	-1	0.192795	1	0.000000
+300	2	7	hidden	1.052339	0.163552	0.063694	0	0.208084	3	9.515960
+300	2	8	hidden	0.497997	0.132762	0.050802	1	0.195635	1	0.000000
+300	2	0	input	0.255134	0.115931	0.053921	1	0.191268	1	0.000000
+300	2	1	input	-0.121854	0.126135	0.042759	-1	0.178970	1	0.000000
+300	2	2	input	-0.642500	0.128019	0.063586	0	0.208266	2	11.168355

20260517_100418/trial_000__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-17T10:04:18"
+  },
+  "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_100418/trial_001/nxon2_024722855__KeyMetrics.txt

@@ -0,0 +1,339 @@
+# Neuraxon Game of Life v4.88 — Key metrics export
+# game_id=nxon2_024722855
+# samples=333
+# 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	2.506	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	3.358	0.090476	0.943861	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	0.510094	0.333333	-0.085082	2.056849
+3	4.139	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	0.474192	0.333333	-0.110641	1.588460
+4	5.046	0.103175	0.943861	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	0.395927	0.000000	-0.147164	1.071456
+5	5.835	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	0.473622	0.000000	-0.301240	1.196078
+6	6.744	0.068254	0.943861	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	0.353796	0.000000	-0.033993	1.050974
+7	7.528	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	0.362306	0.000000	-0.055708	1.058678
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+297	795.023	0.068471	0.943978	0.334083	0.093503	1.815695	0.281179	0.758755	0.001326	0.981687	0.000000	0.000000	0.000000	0.000000	3.625796	0.122222	0.510000	0.064891	0.000000	0.137222	0.000000	0.766667	0.000000	0.345168	0.691700	30.000000	30.000000	0.414253	0.500000	0.120571	1.822239
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20260517_100418/trial_001/nxon2_024722855__MembraneDiag.txt

@@ -0,0 +1,59 @@
+# Neuraxon Game of Life v4.88 — Membrane diagnostics
+# game_id=nxon2_024722855
+# rows=54
+# 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
+300	0	6	hidden	0.747541	0.120975	0.039354	0	0.131539	2	115.690891
+300	0	7	hidden	-0.361753	0.080804	0.036021	1	0.130800	1	116.319769
+300	0	8	hidden	0.641121	0.096524	0.037938	0	0.127805	1	121.962063
+300	0	0	input	0.094364	0.086367	0.038771	-1	0.135726	1	101.708330
+300	0	1	input	0.380975	0.066581	0.037365	1	0.131850	1	148.283310
+300	0	2	input	-1.605018	0.098588	0.041854	0	0.137430	2	94.662741
+300	1	6	hidden	1.030346	0.071858	0.039780	0	0.132755	5	67.151012
+300	1	7	hidden	0.298205	0.107981	0.040839	0	0.136812	3	115.230675
+300	1	8	hidden	0.827989	0.101432	0.039930	0	0.132028	5	107.067955
+300	1	0	input	-0.907939	0.089665	0.039671	-1	0.141264	1	60.866857
+300	1	1	input	-0.176627	0.100501	0.039648	0	0.131785	4	96.655745
+300	1	2	input	-0.491938	0.072417	0.038608	-1	0.138895	1	78.834937
+300	2	6	hidden	0.782344	0.092323	0.039696	0	0.133925	4	33.851216
+300	2	7	hidden	0.232027	0.075308	0.038531	-1	0.139026	1	47.991072
+300	2	8	hidden	0.128450	0.085146	0.038589	0	0.128689	6	39.600470
+300	2	0	input	0.308227	0.061310	0.036593	0	0.121048	11	13.892218
+300	2	1	input	-0.151411	0.095955	0.040037	0	0.134888	3	52.337130
+300	2	2	input	-0.629329	0.059740	0.038005	-1	0.136074	1	28.857093

20260517_100418/trial_001__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 1,
+    "sampled_at": "2026-05-17T10:04:18"
+  },
+  "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_100418/trial_002/nxon2_117492643__KeyMetrics.txt

@@ -0,0 +1,305 @@
+# Neuraxon Game of Life v4.88 — Key metrics export
+# game_id=nxon2_117492643
+# samples=299
+# 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	2.753	0.000000	0.932936	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	3.705	0.055556	0.932936	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	0.373010	0.000000	-0.077063	1.076472
+3	4.643	0.049206	0.933029	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	0.454260	0.333333	0.091710	1.368491
+4	5.625	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	0.444905	0.333333	-0.075009	1.420423
+5	6.573	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	0.456585	0.666667	0.109921	1.269269
+6	7.601	0.044444	0.932936	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	0.385711	1.000000	0.078109	1.229756
+7	8.689	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	0.424627	0.333333	-0.036430	1.449414
+8	9.670	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	0.552511	1.000000	0.105022	1.234692
+9	10.627	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	4.585714	0.055556	0.256667	0.000031	0.000000	0.061111	0.000000	0.700000	0.000000	0.000000	0.891700	30.000000	30.000000	0.531916	0.333333	-0.039890	1.848096
+10	10.677	0.055556	0.933004	0.000000	0.122012	1.567953	0.000000	0.918045	0.000000	0.800562	0.000000	0.000000	0.000000	0.000000	4.585714	0.055556	0.256667	-0.015521	0.000000	0.077778	0.000000	0.700000	0.000000	0.000000	0.625000	30.000000	30.000000	0.531916	0.333333	-0.039780	1.847696
+11	14.548	0.052381	0.932936	0.000000	0.052827	1.631042	0.217060	1.129687	0.000000	0.871111	0.000000	0.000000	0.000000	0.000000	4.922222	0.177778	0.236667	0.012610	0.000000	0.065000	0.000000	0.766667	0.000000	0.000000	0.925000	30.000000	30.000000	0.560760	1.000000	0.339672	2.298055
+12	16.535	0.052381	0.933009	0.000000	0.028025	1.623934	0.228395	1.006421	0.000000	0.890909	0.000000	0.000000	0.000000	0.000000	5.119048	0.105556	0.340000	-0.001181	0.000000	0.075556	0.000000	0.766667	0.000000	0.000000	0.758300	30.000000	30.000000	0.663209	1.000000	0.326417	1.969197
+13	18.519	0.042857	0.932932	0.000000	0.018545	1.651811	0.208145	0.929295	0.000000	0.813099	0.000000	0.000000	0.000000	0.000000	5.304762	0.116667	0.296667	-0.017605	0.000000	0.083889	0.000000	0.833333	0.000000	0.000000	0.758300	30.000000	30.000000	0.495685	1.000000	0.238176	1.698350
+14	20.560	0.049206	0.932930	0.000000	0.052693	1.665581	0.195688	1.033102	0.000000	0.844444	0.000000	0.000000	0.000000	0.000000	5.482540	0.111111	0.343333	-0.025716	0.000000	0.091667	0.000000	0.833333	0.000000	0.000000	0.791700	30.000000	30.000000	0.475028	0.666667	0.095983	1.338574
+15	22.554	0.049206	0.932932	0.000000	0.002280	1.662816	0.211667	0.885131	0.000000	0.918750	0.000000	0.000000	0.000000	0.131746	5.723810	0.094444	0.326667	-0.030615	0.000000	0.093889	0.000000	0.800000	0.000000	0.000000	0.758300	30.000000	30.000000	0.510413	0.333333	0.096038	1.588535
+16	24.613	0.069841	0.933005	0.000000	0.115372	1.675786	0.235650	0.857750	0.000000	0.886839	0.000000	0.000000	0.000000	0.104762	5.582540	0.133333	0.316667	-0.042864	0.000000	0.085000	0.000000	0.633333	0.000000	0.000000	0.891700	30.000000	30.000000	0.484240	0.666667	0.106475	1.451857
+17	26.654	0.057143	0.932927	0.000000	0.177687	1.663376	0.218841	0.833468	0.000000	0.951165	0.000000	0.000000	0.000000	0.103175	5.447619	0.161111	0.353333	-0.045240	0.000000	0.090556	0.000000	0.766667	0.000000	0.000000	0.758300	30.000000	30.000000	0.513229	0.333333	-0.007159	1.818699
+18	28.735	0.052381	0.933023	0.000000	0.160913	1.646314	0.193548	0.768002	0.000000	0.955263	0.000000	0.000000	0.000000	0.101587	5.498413	0.100000	0.370000	-0.049325	0.000000	0.096111	0.000000	0.666667	0.000000	0.000000	0.858300	30.000000	30.000000	0.512223	0.666667	0.112807	1.504032
+19	30.818	0.052381	0.933023	0.000000	0.160913	1.646314	0.193548	0.768002	0.000000	0.955263	0.000000	0.000000	0.000000	0.100000	5.555556	0.116667	0.316667	-0.049218	0.000000	0.096111	0.000000	0.866667	0.000000	0.000000	0.758300	30.000000	30.000000	0.513173	1.000000	0.259173	1.696532
+20	30.973	0.046032	0.933018	0.000000	0.040918	1.665766	0.000000	0.748447	0.000000	0.903788	0.000000	0.000000	0.000000	0.100000	5.555556	0.116667	0.316667	-0.049384	0.000000	0.112778	0.000000	0.866667	0.000000	0.000000	0.625000	30.000000	30.000000	0.513173	1.000000	0.259172	1.696524
+21	35.034	0.073016	0.933055	0.000000	0.046286	1.682668	0.225782	0.733209	0.000000	0.903792	0.000000	0.000000	0.000000	0.101587	5.709524	0.105556	0.426667	-0.039284	0.000000	0.117778	0.000000	0.733333	0.000000	0.000000	0.725000	30.000000	30.000000	0.446426	0.666667	0.102417	1.245756
+22	37.218	0.052381	0.932935	0.000000	0.011446	1.660007	0.276800	0.733079	0.000000	0.889041	0.000000	0.000000	0.000000	0.104762	5.817460	0.138889	0.406667	-0.022538	0.000000	0.134444	0.000000	0.900000	0.000000	0.000000	0.625000	30.000000	30.000000	0.458141	1.000000	0.164606	1.394030
+23	39.335	0.063492	0.932933	0.000000	0.025430	1.743743	0.231454	0.748903	0.000000	0.935428	0.000000	0.000000	0.000000	0.100000	5.741270	0.150000	0.313333	-0.019849	0.000000	0.136111	0.000000	0.700000	0.000000	0.000000	0.725000	30.000000	30.000000	0.431612	0.333333	0.092919	1.295354
+24	41.505	0.058730	0.933029	0.000000	0.026223	1.743361	0.258110	0.739392	0.000000	0.916870	0.000000	0.000000	0.000000	0.093651	5.566667	0.188889	0.410000	-0.024491	0.000000	0.127222	0.000000	0.800000	0.000000	0.000000	0.758300	30.000000	30.000000	0.532664	1.000000	0.297398	2.047423
+25	43.640	0.055556	0.933027	0.000000	0.019046	1.732734	0.267537	0.726420	0.000000	0.949603	0.000000	0.000000	0.000000	0.090476	5.485714	0.138889	0.410000	-0.017093	0.000000	0.123889	0.000000	0.733333	0.000000	0.000000	0.691700	30.000000	30.000000	0.441249	0.666667	0.112429	1.311587
+26	45.810	0.057143	0.933030	0.000000	0.019636	1.741709	0.258394	0.713246	0.000000	0.953164	0.000000	0.000000	0.000000	0.080952	5.255556	0.177778	0.373333	-0.006920	0.000000	0.115000	0.000000	0.666667	0.000000	0.000000	0.791700	30.000000	30.000000	0.515708	1.000000	0.269751	1.820720
+27	47.929	0.074603	0.932934	0.000000	0.053670	1.740922	0.275969	0.693537	0.000000	1.004688	0.000000	0.000000	0.000000	0.068254	4.977778	0.133333	0.483333	0.007745	0.000000	0.112778	0.000000	0.666667	0.000000	0.000000	0.725000	30.000000	30.000000	0.445688	0.666667	0.135465	1.141277
+28	50.134	0.088889	0.932933	0.000000	0.052986	1.750070	0.256776	0.647001	0.000000	0.966630	0.000000	0.000000	0.000000	0.068254	4.822222	0.161111	0.460000	0.020386	0.000000	0.113889	0.000000	0.566667	0.000000	0.000000	0.758300	30.000000	30.000000	0.393351	0.666667	0.076452	1.134970
+29	52.266	0.088889	0.932933	0.000000	0.052986	1.750070	0.256776	0.647001	0.000000	0.966630	0.000000	0.000000	0.000000	0.055556	4.600000	0.166667	0.366667	0.028289	0.000000	0.107222	0.000000	0.700000	0.000000	0.000000	0.758300	30.000000	30.000000	0.448702	1.000000	0.164764	1.433427
+30	52.436	0.066667	0.933027	0.000000	0.042729	1.725951	0.000000	0.665695	0.007892	0.989628	0.000000	0.000000	0.000000	0.055556	4.600000	0.166667	0.366667	0.035877	0.000000	0.123889	0.000000	0.700000	0.027778	0.329166	0.625000	30.000000	30.000000	0.448710	1.000000	0.164777	1.433486
+31	56.664	0.069841	0.932999	0.000000	0.014651	1.706755	0.277091	0.623472	0.007667	0.968692	0.000000	0.000000	0.000000	0.061905	4.342857	0.172222	0.326667	0.000609	0.000000	0.084444	0.000000	0.700000	0.027778	0.336810	0.925000	30.000000	30.000000	0.449356	0.666667	0.143368	1.332966
+32	58.912	0.092063	0.932977	0.337933	0.025234	1.713884	0.301255	0.615152	0.005589	0.961219	0.000000	0.000000	0.000000	0.057143	4.160317	0.172222	0.426667	0.014022	0.000000	0.085000	0.000000	0.600000	0.022222	0.338195	0.858300	30.000000	30.000000	0.550426	1.000000	0.315079	1.944824
+33	61.403	0.074603	0.933048	0.337933	0.025787	1.713346	0.300296	0.635974	0.005522	0.962873	0.000000	0.000000	0.000000	0.055556	4.133333	0.155556	0.426667	0.007527	0.000000	0.082778	0.000000	0.666667	0.027778	0.339778	0.725000	30.000000	30.000000	0.506206	0.333333	-0.009743	1.746603
+34	63.653	0.071429	0.933046	0.336093	0.026128	1.694045	0.312303	0.634634	0.005887	0.967560	0.000000	0.000000	0.000000	0.047619	4.114286	0.177778	0.393333	0.000861	0.000000	0.091111	0.000000	0.700000	0.027778	0.341869	0.758300	30.000000	30.000000	0.433136	0.666667	0.086341	1.180829
+35	65.844	0.106349	0.932921	0.335327	0.058122	1.718955	0.298999	0.609741	0.004850	0.975182	0.000000	0.000000	0.000000	0.046032	3.909524	0.250000	0.486667	0.011704	0.000000	0.070556	0.000000	0.533333	0.022222	0.347768	0.825000	30.000000	30.000000	0.465926	0.333333	0.036912	1.403847
+36	68.140	0.079365	0.933017	0.335533	0.079143	1.722159	0.288012	0.601335	0.004221	0.968191	0.000000	0.000000	0.000000	0.039683	3.803175	0.205556	0.483333	0.018079	0.000000	0.070556	0.000000	0.633333	0.022222	0.348288	0.858300	30.000000	30.000000	0.586984	1.000000	0.377666	2.416597
+37	70.360	0.080952	0.933018	0.335298	0.077752	1.701823	0.340800	0.579961	0.004089	0.943374	0.000000	0.000000	0.000000	0.036508	3.696825	0.150000	0.470000	0.007958	0.000000	0.062778	0.000000	0.666667	0.016667	0.350032	0.791700	30.000000	30.000000	0.530324	1.000000	0.284510	1.828223
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+286	862.912	0.169657	0.932889	0.333585	0.133264	1.056282	0.319149	0.460718	0.002290	0.954102	0.000000	0.000000	0.000000	0.008157	2.065253	0.694444	0.623333	-0.013789	0.583333	1.003889	0.000000	0.200000	0.583333	0.171844	0.475000	30.000000	30.000000	0.392828	0.733333	0.201123	1.876961
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+288	869.547	0.194127	0.932888	0.333573	0.144768	1.061684	0.311688	0.460024	0.002508	0.954999	0.000000	0.000000	0.000000	0.004894	1.952692	0.694444	0.573333	0.007824	0.588889	1.018333	0.000000	0.100000	0.588889	0.168971	0.475000	30.000000	30.000000	0.375911	0.733333	0.184201	1.652896
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20260517_100418/trial_002/nxon2_117492643__MembraneDiag.txt

@@ -0,0 +1,41 @@
+# Neuraxon Game of Life v4.88 — Membrane diagnostics
+# game_id=nxon2_117492643
+# 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	0.254159	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
+200	0	6	hidden	-0.308829	0.177351	0.066292	0	0.245020	3	39.745076
+200	0	7	hidden	0.389599	0.125805	0.052396	0	0.198733	3	59.331918
+200	0	8	hidden	-0.205793	0.160961	0.047962	0	0.184348	2	40.561034
+200	0	0	input	0.471576	0.112075	0.046704	0	0.177387	3	43.808433
+200	0	1	input	0.924583	0.143226	0.052197	0	0.198284	3	65.495893
+200	0	2	input	-0.144534	0.117615	0.055033	1	0.215042	1	14.995164
+200	1	6	hidden	0.344686	0.079648	0.040340	0	0.142450	4	25.604566
+200	1	7	hidden	0.174180	0.120744	0.032766	-1	0.169371	1	0.000000
+200	1	8	hidden	-0.075264	0.111146	0.043922	1	0.165056	1	7.864999
+200	1	0	input	0.217487	0.145012	0.033846	-1	0.181526	1	0.000000
+200	1	1	input	0.757515	0.126591	0.029411	1	0.164687	1	0.000000
+200	1	2	input	0.659053	0.114085	0.037916	1	0.163358	1	0.000000
+200	2	6	hidden	-0.299578	0.154113	0.063312	0	0.237374	3	58.203600
+200	2	7	hidden	-0.772466	0.158282	0.060086	0	0.227292	4	92.444516
+200	2	8	hidden	-0.208280	0.160937	0.059576	0	0.227240	1	45.107103
+200	2	0	input	-0.509593	0.163829	0.060882	0	0.227781	3	78.331044
+200	2	1	input	0.970342	0.140414	0.057326	0	0.212683	3	93.337109
+200	2	2	input	-0.821213	0.124312	0.057519	0	0.217010	2	16.349869

20260517_100418/trial_002__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 2,
+    "sampled_at": "2026-05-17T10:04:18"
+  },
+  "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_100418/trial_003/nxon2_729357211__MembraneDiag.txt

@@ -0,0 +1,167 @@
+# Neuraxon Game of Life v4.88 — Membrane diagnostics
+# game_id=nxon2_729357211
+# rows=162
+# 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
+100	2	1	input	0.491157	0.069038	0.017802	0	0.132223	3	109.905510
+100	2	2	input	-0.521081	0.067069	0.017708	0	0.131616	2	98.179516
+200	0	6	hidden	0.029792	0.040346	0.011316	0	0.059438	14	138.746891
+200	0	7	hidden	-0.153707	0.062802	0.015691	0	0.077217	6	115.248825
+200	0	8	hidden	0.313425	0.039688	0.007651	0	0.048415	7	156.909057
+200	0	0	input	0.326384	0.039884	0.011419	0	0.059822	22	101.850106
+200	0	1	input	0.388651	0.059620	0.013691	0	0.069310	4	155.507824
+200	0	2	input	0.230316	0.039340	0.007226	0	0.046348	1	148.962521
+200	1	6	hidden	0.301396	0.073457	0.028938	0	0.106496	3	131.634333
+200	1	7	hidden	-0.596969	0.087347	0.025878	0	0.097270	2	119.782214
+200	1	8	hidden	-0.214679	0.094232	0.029729	0	0.109858	3	94.026215
+200	1	0	input	0.334217	0.080722	0.026873	0	0.102030	1	120.296980
+200	1	1	input	-1.101511	0.074455	0.027113	0	0.100970	5	96.257227
+200	1	2	input	0.760021	0.073840	0.025495	0	0.095193	4	137.517692
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20260517_100418/trial_003__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 3,
+    "sampled_at": "2026-05-17T10:04:18"
+  },
+  "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_100418/trial_004/nxon2_005929900__LifespanLog.txt

@@ -0,0 +1,10 @@
+# Neuraxon Game of Life v4.88 — Per-NxEr lifespan log
+# game_id=nxon2_005929900
+# rows=3 (one row per NxEr death)
+# founders_at_start=30
+# founders_still_alive_at_export=28
+# format: tab-separated, header row
+nxer_id	birth_tick	death_tick	age_ticks	was_original
+24	1	375	374	1
+29	1	548	547	1
+30	256	896	640	0

20260517_100418/trial_004/nxon2_005929900__MembraneDiag.txt

@@ -0,0 +1,167 @@
+# Neuraxon Game of Life v4.88 — Membrane diagnostics
+# game_id=nxon2_005929900
+# rows=162
+# 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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