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20260517_110829/nas_best.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t079",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 79, fitness 6.8508. 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": 79,
+    "fitness": 6.850785158283269,
+    "saved_at": "2026-05-17T13:22:31",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 13.093012960477134,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 9.736033831063146,
+    "_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": 17.9977367951091,
+    "_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": 9,
+    "circadian_cycle_ticks": 604,
+    "idle_explore_seconds": 0.8423420981601928,
+    "explore_probability": 0.5348519904844425,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 15,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.45,
+    "afferent_synapse_strength": 1.4282878938763286,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5467009238534586,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.02559105596067835,
+    "intrinsic_timescale_default": 20.33072698519683,
+    "resting_potential_decay": 0.33362134731450177,
+    "sensorimotor_coupling": 2.164993135782872,
+    "_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": 0.5734768038736451,
+    "_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": 0.8713579559788067,
+    "cryst_capacity": 1.0752606832282798,
+    "free_energy_beta": 1.514040188747272
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.035702176296124516,
+    "plasticity_threshold": 0.6583041846160904,
+    "adaptation_tau_ticks": 23.80538700658347,
+    "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": 0.12890649112817265,
+    "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": 0.3463635140956165
+  },
+  "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": [
+      0.7548316391526924,
+      1.191044186510415
+    ],
+    "_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": 3.8326341041318654,
+    "_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": 0.03031020108008947,
+    "_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": 0.07034656257459328,
+    "_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_110829/nas_top1.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t079",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 79, fitness 6.8508. 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": 79,
+    "fitness": 6.850785158283269,
+    "saved_at": "2026-05-17T13:23:25",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 13.093012960477134,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 9.736033831063146,
+    "_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": 17.9977367951091,
+    "_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": 9,
+    "circadian_cycle_ticks": 604,
+    "idle_explore_seconds": 0.8423420981601928,
+    "explore_probability": 0.5348519904844425,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 15,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.45,
+    "afferent_synapse_strength": 1.4282878938763286,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5467009238534586,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.02559105596067835,
+    "intrinsic_timescale_default": 20.33072698519683,
+    "resting_potential_decay": 0.33362134731450177,
+    "sensorimotor_coupling": 2.164993135782872,
+    "_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": 0.5734768038736451,
+    "_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": 0.8713579559788067,
+    "cryst_capacity": 1.0752606832282798,
+    "free_energy_beta": 1.514040188747272
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.035702176296124516,
+    "plasticity_threshold": 0.6583041846160904,
+    "adaptation_tau_ticks": 23.80538700658347,
+    "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": 0.12890649112817265,
+    "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": 0.3463635140956165
+  },
+  "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": [
+      0.7548316391526924,
+      1.191044186510415
+    ],
+    "_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": 3.8326341041318654,
+    "_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": 0.03031020108008947,
+    "_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": 0.07034656257459328,
+    "_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_110829/nas_top2.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t062",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 62, fitness 6.7606. 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": 62,
+    "fitness": 6.760630848839647,
+    "saved_at": "2026-05-17T13:23:25",
+    "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": 0.031734871023079037
+  },
+  "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_110829/nas_top3.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t026",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 26, fitness 6.6699. 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": 26,
+    "fitness": 6.669893658576816,
+    "saved_at": "2026-05-17T13:23:25",
+    "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": 11.391003558626577,
+    "_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": 14.985181498596074,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 33.46129802609645,
+    "_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": 640,
+    "idle_explore_seconds": 0.626909920442136,
+    "explore_probability": 0.5231483466223243,
+    "_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": 23,
+    "_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": 0.37886180328599384,
+    "afferent_synapse_strength": 1.0526520650566633,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.6798556767145782,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.055728168220012475,
+    "intrinsic_timescale_default": 29.577041889317076,
+    "resting_potential_decay": 0.15970138604156234,
+    "sensorimotor_coupling": 1.1489125467888066,
+    "_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": 0.31817632723379985,
+    "_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": 1.4859859488492706,
+    "cryst_capacity": 0.5740392226911524,
+    "free_energy_beta": 1.153894955226042
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.009166898423015749,
+    "plasticity_threshold": 0.6653720671278502,
+    "adaptation_tau_ticks": 49.5365600775745,
+    "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": 0.12624622938942723,
+    "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": 0.590180429309567
+  },
+  "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": [
+      0.9043951096767753,
+      1.5308047057298697
+    ],
+    "_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": 3.522449678165417,
+    "_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": 0.07889266302113421,
+    "_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": 0.07940064968165149,
+    "_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_110829/trial_000/nxon2_430391171__LifespanLog.txt

@@ -0,0 +1,40 @@
+# Neuraxon Game of Life v4.90 — Per-NxEr lifespan log
+# game_id=nxon2_430391171
+# deaths=0  survivors_listed=32
+# founders_at_start=30
+# founders_still_alive_at_export=30
+# NOTE: zero deaths this trial — a healthy run. Death rows are absent; survivor rows follow.
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
+nxer_id	birth_tick	death_tick	age_ticks	was_original	status
+0	1	-1	578	1	ALIVE
+1	1	-1	578	1	ALIVE
+2	1	-1	578	1	ALIVE
+3	1	-1	578	1	ALIVE
+4	1	-1	578	1	ALIVE
+5	1	-1	578	1	ALIVE
+6	1	-1	578	1	ALIVE
+7	1	-1	578	1	ALIVE
+8	1	-1	578	1	ALIVE
+9	1	-1	578	1	ALIVE
+10	1	-1	578	1	ALIVE
+11	1	-1	578	1	ALIVE
+12	1	-1	578	1	ALIVE
+13	1	-1	578	1	ALIVE
+14	1	-1	578	1	ALIVE
+15	1	-1	578	1	ALIVE
+16	1	-1	578	1	ALIVE
+17	1	-1	578	1	ALIVE
+18	1	-1	578	1	ALIVE
+19	1	-1	578	1	ALIVE
+20	1	-1	578	1	ALIVE
+21	1	-1	578	1	ALIVE
+22	1	-1	578	1	ALIVE
+23	1	-1	578	1	ALIVE
+24	1	-1	578	1	ALIVE
+25	1	-1	578	1	ALIVE
+26	1	-1	578	1	ALIVE
+27	1	-1	578	1	ALIVE
+28	1	-1	578	1	ALIVE
+29	1	-1	578	1	ALIVE
+30	536	-1	43	0	ALIVE
+31	545	-1	34	0	ALIVE

20260517_110829/trial_000/nxon2_430391171__MembraneDiag.txt

@@ -0,0 +1,95 @@
+# Neuraxon Game of Life v4.90 — Membrane diagnostics
+# game_id=nxon2_430391171
+# rows=90
+# 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
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20260517_110829/trial_000__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-17T11:51:32"
+  },
+  "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_110829/trial_001/nxon2_024722855__LifespanLog.txt

@@ -0,0 +1,38 @@
+# Neuraxon Game of Life v4.90 — Per-NxEr lifespan log
+# game_id=nxon2_024722855
+# deaths=0  survivors_listed=30
+# founders_at_start=30
+# founders_still_alive_at_export=30
+# NOTE: zero deaths this trial — a healthy run. Death rows are absent; survivor rows follow.
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
+nxer_id	birth_tick	death_tick	age_ticks	was_original	status
+0	1	-1	594	1	ALIVE
+1	1	-1	594	1	ALIVE
+2	1	-1	594	1	ALIVE
+3	1	-1	594	1	ALIVE
+4	1	-1	594	1	ALIVE
+5	1	-1	594	1	ALIVE
+6	1	-1	594	1	ALIVE
+7	1	-1	594	1	ALIVE
+8	1	-1	594	1	ALIVE
+9	1	-1	594	1	ALIVE
+10	1	-1	594	1	ALIVE
+11	1	-1	594	1	ALIVE
+12	1	-1	594	1	ALIVE
+13	1	-1	594	1	ALIVE
+14	1	-1	594	1	ALIVE
+15	1	-1	594	1	ALIVE
+16	1	-1	594	1	ALIVE
+17	1	-1	594	1	ALIVE
+18	1	-1	594	1	ALIVE
+19	1	-1	594	1	ALIVE
+20	1	-1	594	1	ALIVE
+21	1	-1	594	1	ALIVE
+22	1	-1	594	1	ALIVE
+23	1	-1	594	1	ALIVE
+24	1	-1	594	1	ALIVE
+25	1	-1	594	1	ALIVE
+26	1	-1	594	1	ALIVE
+27	1	-1	594	1	ALIVE
+28	1	-1	594	1	ALIVE
+29	1	-1	594	1	ALIVE

20260517_110829/trial_001/nxon2_024722855__MembraneDiag.txt

@@ -0,0 +1,95 @@
+# Neuraxon Game of Life v4.90 — Membrane diagnostics
+# game_id=nxon2_024722855
+# 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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+100	2	0	input	0.086564	0.082534	0.020550	1	0.153238	1	56.061888
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+100	2	2	input	-0.438704	0.099996	0.020667	0	0.143954	5	74.854321
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+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
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+200	2	7	hidden	-1.146220	0.100699	0.032757	0	0.136203	4	76.296649
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+200	2	0	input	0.475747	0.074953	0.032487	0	0.133114	5	20.573134
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+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
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+300	2	1	input	-0.151411	0.095955	0.040037	0	0.134888	3	52.337130
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+400	2	1	input	0.005951	0.061954	0.040920	-1	0.134337	1	32.008992
+400	2	2	input	-0.725594	0.089446	0.043050	0	0.132423	4	19.400712
+500	0	6	hidden	-0.142377	0.083486	0.044978	1	0.142045	1	117.958597
+500	0	7	hidden	-0.839751	0.093638	0.045231	0	0.134746	4	108.930889
+500	0	8	hidden	0.672717	0.110009	0.045776	0	0.137903	1	113.178838
+500	0	0	input	0.082927	0.096523	0.046436	0	0.138154	1	104.202272
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+500	0	2	input	-0.019285	0.060591	0.045249	-1	0.140957	1	98.007960
+500	1	6	hidden	-0.223737	0.115745	0.046944	0	0.139798	2	20.686271
+500	1	7	hidden	-0.098165	0.076754	0.045403	0	0.133182	5	125.559980
+500	1	8	hidden	-0.073062	0.079937	0.044404	0	0.128943	7	93.431184
+500	1	0	input	0.399292	0.073611	0.044532	0	0.129777	7	39.955171
+500	1	1	input	-1.616146	0.081034	0.043488	0	0.129044	2	93.861876
+500	1	2	input	0.545259	0.102487	0.045949	0	0.136031	5	51.082946
+500	2	6	hidden	-0.668023	0.096662	0.044813	0	0.131434	6	18.147221
+500	2	7	hidden	0.244288	0.094929	0.046103	0	0.137151	1	15.220578
+500	2	8	hidden	-0.392134	0.107871	0.045027	0	0.133519	3	18.998117
+500	2	0	input	-0.053993	0.065178	0.040532	-1	0.134383	1	0.000000
+500	2	1	input	-1.720933	0.065963	0.042517	0	0.123666	5	26.626054
+500	2	2	input	0.434823	0.083726	0.044151	0	0.129465	6	18.598221

20260517_110829/trial_001__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 1,
+    "sampled_at": "2026-05-17T11:51:32"
+  },
+  "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_110829/trial_002/nxon2_117492643__LifespanLog.txt

@@ -0,0 +1,40 @@
+# Neuraxon Game of Life v4.90 — Per-NxEr lifespan log
+# game_id=nxon2_117492643
+# deaths=0  survivors_listed=32
+# founders_at_start=30
+# founders_still_alive_at_export=30
+# NOTE: zero deaths this trial — a healthy run. Death rows are absent; survivor rows follow.
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
+nxer_id	birth_tick	death_tick	age_ticks	was_original	status
+0	1	-1	559	1	ALIVE
+1	1	-1	559	1	ALIVE
+2	1	-1	559	1	ALIVE
+3	1	-1	559	1	ALIVE
+4	1	-1	559	1	ALIVE
+5	1	-1	559	1	ALIVE
+6	1	-1	559	1	ALIVE
+7	1	-1	559	1	ALIVE
+8	1	-1	559	1	ALIVE
+9	1	-1	559	1	ALIVE
+10	1	-1	559	1	ALIVE
+11	1	-1	559	1	ALIVE
+12	1	-1	559	1	ALIVE
+13	1	-1	559	1	ALIVE
+14	1	-1	559	1	ALIVE
+15	1	-1	559	1	ALIVE
+16	1	-1	559	1	ALIVE
+17	1	-1	559	1	ALIVE
+18	1	-1	559	1	ALIVE
+19	1	-1	559	1	ALIVE
+20	1	-1	559	1	ALIVE
+21	1	-1	559	1	ALIVE
+22	1	-1	559	1	ALIVE
+23	1	-1	559	1	ALIVE
+24	1	-1	559	1	ALIVE
+25	1	-1	559	1	ALIVE
+26	1	-1	559	1	ALIVE
+27	1	-1	559	1	ALIVE
+28	1	-1	559	1	ALIVE
+29	1	-1	559	1	ALIVE
+30	480	-1	80	0	ALIVE
+31	507	-1	53	0	ALIVE

20260517_110829/trial_002/nxon2_117492643__MembraneDiag.txt

@@ -0,0 +1,95 @@
+# Neuraxon Game of Life v4.90 — Membrane diagnostics
+# game_id=nxon2_117492643
+# rows=90
+# 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
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+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
+300	0	6	hidden	0.865419	0.120185	0.061445	0	0.191164	3	39.510609
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+300	0	0	input	0.001584	0.102065	0.053141	0	0.173093	1	15.156312
+300	0	1	input	-0.049513	0.081135	0.053233	0	0.165538	11	46.578348
+300	0	2	input	0.275707	0.090162	0.052285	0	0.164387	1	21.369800
+300	1	6	hidden	0.765667	0.075089	0.041299	0	0.128348	3	20.902591
+300	1	7	hidden	0.174180	0.120744	0.032766	-1	0.169371	1	0.000000
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+300	1	0	input	0.217487	0.145012	0.033846	-1	0.181526	1	0.000000
+300	1	1	input	0.757515	0.126591	0.029411	1	0.164687	1	0.000000
+300	1	2	input	0.659053	0.114085	0.037916	1	0.163358	1	0.000000
+300	2	6	hidden	0.486783	0.129899	0.070176	0	0.225881	3	41.350798
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+300	2	8	hidden	0.740718	0.100535	0.055080	0	0.174602	3	53.738070
+300	2	0	input	-1.156661	0.129645	0.068189	0	0.218635	1	62.471044
+300	2	1	input	1.088291	0.136601	0.066432	0	0.213285	4	84.775142
+300	2	2	input	0.714938	0.106215	0.058118	0	0.184287	3	22.544563
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+400	0	8	hidden	0.276455	0.117393	0.055439	0	0.170370	1	14.519146
+400	0	0	input	1.071790	0.120342	0.047711	0	0.141665	2	26.165115
+400	0	1	input	-0.157188	0.139057	0.068910	-1	0.226797	1	0.000000
+400	0	2	input	-0.679166	0.076478	0.051961	-1	0.161719	1	17.873864
+400	1	6	hidden	-0.794609	0.066058	0.039443	0	0.113413	7	29.411765
+400	1	7	hidden	0.174180	0.120744	0.032766	-1	0.169371	1	0.000000
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+400	1	0	input	0.217487	0.145012	0.033846	-1	0.181526	1	0.000000
+400	1	1	input	0.757515	0.126591	0.029411	1	0.164687	1	0.000000
+400	1	2	input	0.659053	0.114085	0.037916	1	0.163358	1	0.000000
+400	2	6	hidden	-0.970622	0.143706	0.071191	0	0.214183	2	32.538412
+400	2	7	hidden	0.161381	0.125036	0.070877	-1	0.224566	1	69.989118
+400	2	8	hidden	-0.666151	0.082191	0.057415	-1	0.178624	1	35.289353
+400	2	0	input	-0.752274	0.171069	0.084132	0	0.263725	1	23.743560
+400	2	1	input	-1.360609	0.159967	0.082597	0	0.258137	4	52.854925
+400	2	2	input	-0.754963	0.116492	0.062416	0	0.187960	4	15.867062
+500	0	6	hidden	-0.859324	0.092541	0.055271	0	0.152917	3	47.562063
+500	0	7	hidden	0.443660	0.088852	0.049638	0	0.141797	5	24.970996
+500	0	8	hidden	0.207118	0.094871	0.053203	0	0.155399	2	20.808018
+500	0	0	input	0.070478	0.088802	0.043182	0	0.120580	6	36.365664
+500	0	1	input	-0.157188	0.139057	0.068910	-1	0.226797	1	0.000000
+500	0	2	input	-0.791906	0.075444	0.050275	0	0.142045	5	25.099282
+500	1	6	hidden	-0.526070	0.072993	0.041459	0	0.118479	15	27.446723
+500	1	7	hidden	0.174180	0.120744	0.032766	-1	0.169371	1	0.000000
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+500	1	0	input	0.217487	0.145012	0.033846	-1	0.181526	1	0.000000
+500	1	1	input	0.757515	0.126591	0.029411	1	0.164687	1	0.000000
+500	1	2	input	0.659053	0.114085	0.037916	1	0.163358	1	0.000000
+500	2	6	hidden	0.894842	0.106054	0.068617	0	0.196365	3	29.905570
+500	2	7	hidden	0.129215	0.116872	0.072045	-1	0.219963	1	60.719545
+500	2	8	hidden	0.304306	0.094265	0.058448	0	0.168836	1	32.155475
+500	2	0	input	-0.035575	0.138418	0.088469	0	0.261909	6	15.484676
+500	2	1	input	-1.740882	0.142113	0.087567	0	0.259819	1	26.124682
+500	2	2	input	0.698634	0.098912	0.058293	0	0.167102	1	22.491866

20260517_110829/trial_002__arch.json

@@ -0,0 +1,50 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 2,
+    "sampled_at": "2026-05-17T11:51:32"
+  },
+  "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_110829/trial_003/nxon2_729357211__LifespanLog.txt

@@ -0,0 +1,39 @@
+# Neuraxon Game of Life v4.90 — Per-NxEr lifespan log
+# game_id=nxon2_729357211
+# deaths=0  survivors_listed=31
+# founders_at_start=30
+# founders_still_alive_at_export=30
+# NOTE: zero deaths this trial — a healthy run. Death rows are absent; survivor rows follow.
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
+nxer_id	birth_tick	death_tick	age_ticks	was_original	status
+0	1	-1	1741	1	ALIVE
+1	1	-1	1741	1	ALIVE
+2	1	-1	1741	1	ALIVE
+3	1	-1	1741	1	ALIVE
+4	1	-1	1741	1	ALIVE
+5	1	-1	1741	1	ALIVE
+6	1	-1	1741	1	ALIVE
+7	1	-1	1741	1	ALIVE
+8	1	-1	1741	1	ALIVE
+9	1	-1	1741	1	ALIVE
+10	1	-1	1741	1	ALIVE
+11	1	-1	1741	1	ALIVE
+12	1	-1	1741	1	ALIVE
+13	1	-1	1741	1	ALIVE
+14	1	-1	1741	1	ALIVE
+15	1	-1	1741	1	ALIVE
+16	1	-1	1741	1	ALIVE
+17	1	-1	1741	1	ALIVE
+18	1	-1	1741	1	ALIVE
+19	1	-1	1741	1	ALIVE
+20	1	-1	1741	1	ALIVE
+21	1	-1	1741	1	ALIVE
+22	1	-1	1741	1	ALIVE
+23	1	-1	1741	1	ALIVE
+24	1	-1	1741	1	ALIVE
+25	1	-1	1741	1	ALIVE
+26	1	-1	1741	1	ALIVE
+27	1	-1	1741	1	ALIVE
+28	1	-1	1741	1	ALIVE
+29	1	-1	1741	1	ALIVE
+30	1375	-1	367	0	ALIVE

20260517_110829/trial_003/nxon2_729357211__MembraneDiag.txt

@@ -0,0 +1,311 @@
+# Neuraxon Game of Life v4.90 — Membrane diagnostics
+# game_id=nxon2_729357211
+# rows=306
+# 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
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+100	0	8	hidden	-0.213284	0.000000	0.000000	-1	0.041021	1	142.896115
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+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
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20260517_110829/trial_003__arch.json

@@ -0,0 +1,50 @@
+{
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