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20260514_144851/nas_best.json

@@ -0,0 +1,145 @@
+{
+  "_meta": {
+    "name": "nas_best_t235",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 235, fitness 6.9603. 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": 235,
+    "fitness": 6.960292281024389,
+    "saved_at": "2026-05-14T18:49:16",
+    "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": 11.310453144930241,
+    "_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": 4.3360332675866795,
+    "_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": 14.937298672686929,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 16,
+    "circadian_cycle_ticks": 1195,
+    "idle_explore_seconds": 0.3,
+    "explore_probability": 0.7391260562496567,
+    "_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": 0.44215110679118674,
+    "afferent_synapse_strength": 1.4993731333722473,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.454683399524162,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.009638959526931456,
+    "intrinsic_timescale_default": 11.57503887620965,
+    "resting_potential_decay": 0.3359012876780323,
+    "sensorimotor_coupling": 0.5311571109611437,
+    "_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.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.002166106684802133,
+    "plasticity_threshold": 0.7,
+    "adaptation_tau_ticks": 47.23263544193302,
+    "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": 0.0583811883860764,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.7803842562390746,
+      1.594017486262868
+    ],
+    "_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": 6.485994532595112,
+    "_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": 0.03799706478039261,
+    "_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": 0.12235868618761125,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260514_144851/nas_top1.json

@@ -0,0 +1,145 @@
+{
+  "_meta": {
+    "name": "nas_best_t235",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 235, fitness 6.9603. 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": 235,
+    "fitness": 6.960292281024389,
+    "saved_at": "2026-05-14T22:19:36",
+    "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": 11.310453144930241,
+    "_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": 4.3360332675866795,
+    "_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": 14.937298672686929,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 16,
+    "circadian_cycle_ticks": 1195,
+    "idle_explore_seconds": 0.3,
+    "explore_probability": 0.7391260562496567,
+    "_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": 0.44215110679118674,
+    "afferent_synapse_strength": 1.4993731333722473,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.454683399524162,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.009638959526931456,
+    "intrinsic_timescale_default": 11.57503887620965,
+    "resting_potential_decay": 0.3359012876780323,
+    "sensorimotor_coupling": 0.5311571109611437,
+    "_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.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.002166106684802133,
+    "plasticity_threshold": 0.7,
+    "adaptation_tau_ticks": 47.23263544193302,
+    "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": 0.0583811883860764,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.7803842562390746,
+      1.594017486262868
+    ],
+    "_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": 6.485994532595112,
+    "_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": 0.03799706478039261,
+    "_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": 0.12235868618761125,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260514_144851/nas_top2.json

@@ -0,0 +1,145 @@
+{
+  "_meta": {
+    "name": "nas_best_t215",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 215, fitness 6.9221. 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": 215,
+    "fitness": 6.92208917111028,
+    "saved_at": "2026-05-14T22:19:36",
+    "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": 11.310453144930241,
+    "_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": 4.3360332675866795,
+    "_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": 17.315773359424938,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 16,
+    "circadian_cycle_ticks": 1195,
+    "idle_explore_seconds": 0.3,
+    "explore_probability": 0.7391260562496567,
+    "_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": 0.44215110679118674,
+    "afferent_synapse_strength": 1.4993731333722473,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.454683399524162,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.009638959526931456,
+    "intrinsic_timescale_default": 11.57503887620965,
+    "resting_potential_decay": 0.3359012876780323,
+    "sensorimotor_coupling": 0.5311571109611437,
+    "_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.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.002166106684802133,
+    "plasticity_threshold": 0.7,
+    "adaptation_tau_ticks": 47.23263544193302,
+    "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": 0.0583811883860764,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.7803842562390746,
+      1.594017486262868
+    ],
+    "_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": 6.485994532595112,
+    "_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": 0.03799706478039261,
+    "_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": 0.1286778846217621,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260514_144851/nas_top3.json

@@ -0,0 +1,145 @@
+{
+  "_meta": {
+    "name": "nas_best_t265",
+    "version": "NxonArchNAS v0.4 (v162)",
+    "description": "Architecture found by NAS \u2014 trial 265, fitness 6.8929. 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": 265,
+    "fitness": 6.892866568343866,
+    "saved_at": "2026-05-14T22:19:36",
+    "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": 11.310453144930241,
+    "_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": 4.3360332675866795,
+    "_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": 17.315773359424938,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 16,
+    "circadian_cycle_ticks": 1195,
+    "idle_explore_seconds": 0.3,
+    "explore_probability": 0.7391260562496567,
+    "_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": 0.44215110679118674,
+    "afferent_synapse_strength": 1.4993731333722473,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.454683399524162,
+    "firing_threshold_inhibitory": -0.55,
+    "spontaneous_firing_rate": 0.011368331373611592,
+    "intrinsic_timescale_default": 11.57503887620965,
+    "resting_potential_decay": 0.3359012876780323,
+    "sensorimotor_coupling": 0.5311571109611437,
+    "_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.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update."
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.002166106684802133,
+    "plasticity_threshold": 0.7,
+    "adaptation_tau_ticks": 47.23263544193302,
+    "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": 0.0583811883860764,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold))."
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.7803842562390746,
+      1.594017486262868
+    ],
+    "_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": 4.653449264288548,
+    "_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": 0.03799706478039261,
+    "_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": 0.1286778846217621,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260514_144851/trial_000__arch.json

@@ -0,0 +1,43 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-14T14:48:51"
+  },
+  "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
+  },
+  "operating_ranges": {
+    "learning_rate": 0.004066237682779059,
+    "plasticity_threshold": 0.5357062735503635,
+    "autoreceptor_coefficient": 0.21188609133556535,
+    "adaptation_tau_ticks": 10.25995038712244
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 2.722004132143935,
+    "firing_threshold_jitter": 0.023321924971767233,
+    "mutation_strength": 0.14443769938688156,
+    "metabolic_rate_multiplier_range": [
+      0.8820367381414826,
+      1.4339766672435248
+    ]
+  }
+}

20260514_144851/trial_001__arch.json

@@ -0,0 +1,43 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 1,
+    "sampled_at": "2026-05-14T14:48:51"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 7.385512721802028,
+    "max_atrophy": 2.7520688856319966,
+    "metabolic_rate_abs_cap_multiple": 13.029251595340128,
+    "idle_explore_seconds": 2.164487605964412,
+    "explore_probability": 0.5622356188201347,
+    "mate_cooldown_seconds": 18,
+    "circadian_cycle_ticks": 344
+  },
+  "neural": {
+    "num_hidden_neurons_default": 20,
+    "connection_probability": 0.31086842743641024,
+    "afferent_synapse_strength": 1.767738916775245,
+    "firing_threshold_excitatory": 0.513560313162506,
+    "spontaneous_firing_rate": 0.023104318333956025,
+    "intrinsic_timescale_default": 26.246902613565886,
+    "resting_potential_decay": 0.2546299380910615,
+    "sensorimotor_coupling": 2.5851207009323316,
+    "symmetric_stdp": false
+  },
+  "operating_ranges": {
+    "learning_rate": 0.019318755875545063,
+    "plasticity_threshold": 0.3183297534622649,
+    "autoreceptor_coefficient": 0.09557965513030937,
+    "adaptation_tau_ticks": 21.575518544084286
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 0.8080114352778329,
+    "firing_threshold_jitter": 0.04169604046651382,
+    "mutation_strength": 0.10263897775437203,
+    "metabolic_rate_multiplier_range": [
+      0.6279271919232696,
+      1.1780349874985667
+    ]
+  }
+}

20260514_144851/trial_002/nxon2_117492643__MembraneDiag.txt

@@ -0,0 +1,1517 @@
+# Neuraxon Game of Life v4.77 — Membrane diagnostics
+# game_id=nxon2_117492643
+# rows=1512
+# sampled every 100 ticks, first 3 input neurons of first 3 alive NxErs each sample
+tick	nxer_id	neuron_id	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+100	0	0	-0.134744	0.290650	0.036376	-1	0.215767	1	0.000000
+100	0	1	0.314298	0.144523	0.025832	0	0.163281	10	38.096600
+100	0	2	0.797095	0.276576	0.027255	1	0.186073	2	0.000000
+100	1	0	-0.180263	0.181986	0.021353	0	0.148642	3	67.691812
+100	1	1	0.979448	0.277072	0.033655	1	0.208002	1	42.672808
+100	1	2	0.951268	0.160030	0.021038	1	0.156811	1	38.862832
+100	2	0	-0.115331	0.258235	0.030309	-1	0.200755	6	0.000000
+100	2	1	0.491074	0.154149	0.024843	1	0.171089	1	22.106855
+100	2	2	-0.844610	0.158373	0.018458	-1	0.145185	1	43.469070
+200	0	0	-0.134744	0.290650	0.036376	-1	0.215767	1	0.000000
+200	0	1	-0.155539	0.199294	0.037951	-1	0.206560	2	0.000000
+200	0	2	0.797095	0.276576	0.027255	1	0.186073	2	0.000000
+200	1	0	0.526282	0.169649	0.046111	1	0.220446	1	0.000000
+200	1	1	-0.375173	0.331543	0.048775	-1	0.259447	1	0.000000
+200	1	2	-0.196643	0.252902	0.036422	1	0.208227	2	0.000000
+200	2	0	-0.115331	0.258235	0.030309	-1	0.200755	6	0.000000
+200	2	1	-0.703346	0.180052	0.033145	1	0.191758	1	0.000000
+200	2	2	0.360898	0.205888	0.031857	-1	0.188863	1	0.000000
+300	0	0	-0.134744	0.290650	0.036376	-1	0.215767	1	0.000000
+300	0	1	-0.155539	0.199294	0.037951	-1	0.206560	2	0.000000
+300	0	2	0.797095	0.276576	0.027255	1	0.186073	2	0.000000
+300	1	0	0.526282	0.169649	0.046111	1	0.220446	1	0.000000
+300	1	1	-0.375173	0.331543	0.048775	-1	0.259447	1	0.000000
+300	1	2	-0.196643	0.252902	0.036422	1	0.208227	2	0.000000
+300	2	0	-0.115331	0.258235	0.030309	-1	0.200755	6	0.000000
+300	2	1	-0.703346	0.180052	0.033145	1	0.191758	1	0.000000
+300	2	2	0.360898	0.205888	0.031857	-1	0.188863	1	0.000000
+400	0	0	-0.134744	0.290650	0.036376	-1	0.215767	1	0.000000
+400	0	1	-0.155539	0.199294	0.037951	-1	0.206560	2	0.000000
+400	0	2	0.797095	0.276576	0.027255	1	0.186073	2	0.000000
+400	1	0	0.526282	0.169649	0.046111	1	0.220446	1	0.000000
+400	1	1	-0.375173	0.331543	0.048775	-1	0.259447	1	0.000000
+400	1	2	-0.196643	0.252902	0.036422	1	0.208227	2	0.000000
+400	2	0	-0.115331	0.258235	0.030309	-1	0.200755	6	0.000000
+400	2	1	-0.703346	0.180052	0.033145	1	0.191758	1	0.000000
+400	2	2	0.360898	0.205888	0.031857	-1	0.188863	1	0.000000
+500	0	0	-0.134744	0.290650	0.036376	-1	0.215767	1	0.000000
+500	0	1	-0.155539	0.199294	0.037951	-1	0.206560	2	0.000000
+500	0	2	0.797095	0.276576	0.027255	1	0.186073	2	0.000000
+500	1	0	0.526282	0.169649	0.046111	1	0.220446	1	0.000000
+500	1	1	-0.375173	0.331543	0.048775	-1	0.259447	1	0.000000
+500	1	2	-0.196643	0.252902	0.036422	1	0.208227	2	0.000000
+500	2	0	-0.115331	0.258235	0.030309	-1	0.200755	6	0.000000
+500	2	1	-0.703346	0.180052	0.033145	1	0.191758	1	0.000000
+500	2	2	0.360898	0.205888	0.031857	-1	0.188863	1	0.000000
+600	0	0	-0.134744	0.290650	0.036376	-1	0.215767	1	0.000000
+600	0	1	-0.155539	0.199294	0.037951	-1	0.206560	2	0.000000
+600	0	2	0.797095	0.276576	0.027255	1	0.186073	2	0.000000
+600	1	0	0.526282	0.169649	0.046111	1	0.220446	1	0.000000
+600	1	1	-0.375173	0.331543	0.048775	-1	0.259447	1	0.000000
+600	1	2	-0.196643	0.252902	0.036422	1	0.208227	2	0.000000
+600	2	0	-0.115331	0.258235	0.030309	-1	0.200755	6	0.000000
+600	2	1	-0.703346	0.180052	0.033145	1	0.191758	1	0.000000
+600	2	2	0.360898	0.205888	0.031857	-1	0.188863	1	0.000000
+700	0	0	-0.134744	0.290650	0.036376	-1	0.215767	1	0.000000
+700	0	1	-0.155539	0.199294	0.037951	-1	0.206560	2	0.000000
+700	0	2	0.797095	0.276576	0.027255	1	0.186073	2	0.000000
+700	1	0	0.526282	0.169649	0.046111	1	0.220446	1	0.000000
+700	1	1	-0.375173	0.331543	0.048775	-1	0.259447	1	0.000000
+700	1	2	-0.196643	0.252902	0.036422	1	0.208227	2	0.000000
+700	2	0	-0.115331	0.258235	0.030309	-1	0.200755	6	0.000000
+700	2	1	-0.703346	0.180052	0.033145	1	0.191758	1	0.000000
+700	2	2	0.360898	0.205888	0.031857	-1	0.188863	1	0.000000
+800	0	0	-0.134744	0.290650	0.036376	-1	0.215767	1	0.000000
+800	0	1	-0.155539	0.199294	0.037951	-1	0.206560	2	0.000000
+800	0	2	0.797095	0.276576	0.027255	1	0.186073	2	0.000000
+800	1	0	0.526282	0.169649	0.046111	1	0.220446	1	0.000000
+800	1	1	-0.375173	0.331543	0.048775	-1	0.259447	1	0.000000
+800	1	2	-0.196643	0.252902	0.036422	1	0.208227	2	0.000000
+800	2	0	-0.115331	0.258235	0.030309	-1	0.200755	6	0.000000
+800	2	1	-0.703346	0.180052	0.033145	1	0.191758	1	0.000000
+800	2	2	0.360898	0.205888	0.031857	-1	0.188863	1	0.000000
+900	0	0	-0.134744	0.290650	0.036376	-1	0.215767	1	0.000000
+900	0	1	-0.155539	0.199294	0.037951	-1	0.206560	2	0.000000
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+16700	1	1	-0.375173	0.331543	0.048775	-1	0.259447	1	0.000000
+16700	1	2	-0.196643	0.252902	0.036422	1	0.208227	2	0.000000
+16700	4	0	0.327787	0.298802	0.041102	-1	0.220200	1	0.000000
+16700	4	1	-1.475410	0.264988	0.051883	-1	0.261149	1	0.000000
+16700	4	2	0.121402	0.233629	0.030778	-1	0.195879	1	0.000000
+16700	6	0	0.087603	0.150542	0.039368	-1	0.211333	2	0.000000
+16700	6	1	-0.681901	0.135207	0.030455	-1	0.179780	1	0.000000
+16700	6	2	-0.512201	0.299307	0.047831	-1	0.232358	1	0.000000
+16800	1	0	0.526282	0.169649	0.046111	1	0.220446	1	0.000000
+16800	1	1	-0.375173	0.331543	0.048775	-1	0.259447	1	0.000000
+16800	1	2	-0.196643	0.252902	0.036422	1	0.208227	2	0.000000
+16800	4	0	0.327787	0.298802	0.041102	-1	0.220200	1	0.000000
+16800	4	1	-1.475410	0.264988	0.051883	-1	0.261149	1	0.000000
+16800	4	2	0.121402	0.233629	0.030778	-1	0.195879	1	0.000000
+16800	11	0	-1.804028	0.309732	0.032276	-1	0.100000	3	0.000000
+16800	11	1	-0.832512	0.269119	0.049719	-1	0.100000	1	0.000000
+16800	11	2	-0.080317	0.363227	0.040210	-1	0.100000	8	0.000000

20260514_144851/trial_002__arch.json

@@ -0,0 +1,43 @@
+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 2,
+    "sampled_at": "2026-05-14T14:48:51"
+  },
+  "biology": {
+    "metabolic_ramp_per_sec": 7.837314863521348,
+    "max_atrophy": 6.497443056077915,
+    "metabolic_rate_abs_cap_multiple": 18.89436560011736,
+    "idle_explore_seconds": 0.8873512085080495,
+    "explore_probability": 0.7619927526274966,
+    "mate_cooldown_seconds": 16,
+    "circadian_cycle_ticks": 373
+  },
+  "neural": {
+    "num_hidden_neurons_default": 11,
+    "connection_probability": 0.3102419631089124,
+    "afferent_synapse_strength": 0.8937731101817115,
+    "firing_threshold_excitatory": 0.5386780635553348,
+    "spontaneous_firing_rate": 0.010568651488131837,
+    "intrinsic_timescale_default": 28.35860595166679,
+    "resting_potential_decay": 0.2720404896083283,
+    "sensorimotor_coupling": 0.6588455219108069,
+    "symmetric_stdp": true
+  },
+  "operating_ranges": {
+    "learning_rate": 0.030149937506033325,
+    "plasticity_threshold": 0.6103999646184979,
+    "autoreceptor_coefficient": 0.09580961439282087,
+    "adaptation_tau_ticks": 11.28400975616151
+  },
+  "healthy_bands": {},
+  "genetic_lottery": {
+    "intrinsic_timescale_jitter": 1.6878627486906117,
+    "firing_threshold_jitter": 0.14143645715025815,
+    "mutation_strength": 0.13392779144144695,
+    "metabolic_rate_multiplier_range": [
+      0.7104085668206787,
+      1.1972574817866366
+    ]
+  }
+}

20260514_144851/trial_003/nxon2_729357211__MembraneDiag.txt

@@ -0,0 +1,1499 @@
+# Neuraxon Game of Life v4.77 — Membrane diagnostics
+# game_id=nxon2_729357211
+# rows=1494
+# sampled every 100 ticks, first 3 input neurons of first 3 alive NxErs each sample
+tick	nxer_id	neuron_id	mp	adapt	autoreceptor	trinary_state	firing_rate_avg	state_streak	energy_level
+100	0	0	1.209408	0.340078	0.035983	1	0.217827	4	10.975800
+100	0	1	-0.256994	0.292289	0.041650	-1	0.239883	2	10.372265
+100	0	2	-0.926406	0.238912	0.031184	0	0.187403	1	39.085760
+100	1	0	0.464605	0.214687	0.026894	1	0.179682	2	32.779576
+100	1	1	0.329316	0.270686	0.032861	-1	0.203463	1	14.515758
+100	1	2	0.052721	0.329891	0.031221	-1	0.197983	1	16.043091
+100	2	0	0.713870	0.161852	0.024416	0	0.158820	2	13.077190
+100	2	1	-0.571101	0.189269	0.024198	-1	0.167596	1	47.412012
+100	2	2	0.458753	0.273966	0.032728	0	0.192485	4	12.353715
+200	0	0	-0.324199	0.408602	0.042161	1	0.240835	7	0.000000
+200	0	1	0.184515	0.278007	0.046587	-1	0.253173	3	0.000000
+200	0	2	-1.024524	0.320510	0.050558	-1	0.264264	7	0.000000
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+200	2	0	-0.390092	0.211845	0.028387	1	0.182034	3	0.000000
+200	2	1	-1.108105	0.265582	0.042989	-1	0.229421	3	0.000000
+200	2	2	-0.381018	0.308588	0.038130	1	0.218566	4	0.000000
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+400	1	0	0.341909	0.271620	0.038540	-1	0.219281	1	0.000000
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+400	1	2	-0.890324	0.288972	0.036148	-1	0.210018	1	0.000000
+400	2	0	-0.390092	0.211845	0.028387	1	0.182034	3	0.000000
+400	2	1	-1.108105	0.265582	0.042989	-1	0.229421	3	0.000000
+400	2	2	-0.381018	0.308588	0.038130	1	0.218566	4	0.000000
+500	0	0	-0.324199	0.408602	0.042161	1	0.240835	7	0.000000
+500	0	1	0.184515	0.278007	0.046587	-1	0.253173	3	0.000000
+500	0	2	-1.024524	0.320510	0.050558	-1	0.264264	7	0.000000
+500	1	0	0.341909	0.271620	0.038540	-1	0.219281	1	0.000000
+500	1	1	-0.821082	0.251906	0.039202	-1	0.218497	1	0.000000
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+500	2	0	-0.390092	0.211845	0.028387	1	0.182034	3	0.000000
+500	2	1	-1.108105	0.265582	0.042989	-1	0.229421	3	0.000000
+500	2	2	-0.381018	0.308588	0.038130	1	0.218566	4	0.000000
+600	0	0	-0.324199	0.408602	0.042161	1	0.240835	7	0.000000
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+600	0	2	-1.024524	0.320510	0.050558	-1	0.264264	7	0.000000
+600	1	0	0.341909	0.271620	0.038540	-1	0.219281	1	0.000000
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+600	2	2	-0.381018	0.308588	0.038130	1	0.218566	4	0.000000
+700	0	0	-0.324199	0.408602	0.042161	1	0.240835	7	0.000000
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+700	0	2	-1.024524	0.320510	0.050558	-1	0.264264	7	0.000000
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+700	2	0	-0.390092	0.211845	0.028387	1	0.182034	3	0.000000
+700	2	1	-1.108105	0.265582	0.042989	-1	0.229421	3	0.000000
+700	2	2	-0.381018	0.308588	0.038130	1	0.218566	4	0.000000
+800	0	0	-0.324199	0.408602	0.042161	1	0.240835	7	0.000000
+800	0	1	0.184515	0.278007	0.046587	-1	0.253173	3	0.000000
+800	0	2	-1.024524	0.320510	0.050558	-1	0.264264	7	0.000000
+800	1	0	0.341909	0.271620	0.038540	-1	0.219281	1	0.000000
+800	1	1	-0.821082	0.251906	0.039202	-1	0.218497	1	0.000000
+800	1	2	-0.890324	0.288972	0.036148	-1	0.210018	1	0.000000
+800	2	0	-0.390092	0.211845	0.028387	1	0.182034	3	0.000000
+800	2	1	-1.108105	0.265582	0.042989	-1	0.229421	3	0.000000
+800	2	2	-0.381018	0.308588	0.038130	1	0.218566	4	0.000000
+900	0	0	-0.324199	0.408602	0.042161	1	0.240835	7	0.000000
+900	0	1	0.184515	0.278007	0.046587	-1	0.253173	3	0.000000
+900	0	2	-1.024524	0.320510	0.050558	-1	0.264264	7	0.000000
+900	1	0	0.341909	0.271620	0.038540	-1	0.219281	1	0.000000
+900	1	1	-0.821082	0.251906	0.039202	-1	0.218497	1	0.000000
+900	1	2	-0.890324	0.288972	0.036148	-1	0.210018	1	0.000000
+900	2	0	-0.390092	0.211845	0.028387	1	0.182034	3	0.000000
+900	2	1	-1.108105	0.265582	0.042989	-1	0.229421	3	0.000000
+900	2	2	-0.381018	0.308588	0.038130	1	0.218566	4	0.000000
+1000	0	0	-0.324199	0.408602	0.042161	1	0.240835	7	0.000000
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+1100	1	0	0.341909	0.271620	0.038540	-1	0.219281	1	0.000000
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20260514_144851/trial_003__arch.json

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+{
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+    "source": "NxonArchNAS",
+    "trial_id": 3,
+    "sampled_at": "2026-05-14T14:48:51"
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+}

20260514_144851/trial_004__arch.json

@@ -0,0 +1,43 @@
+{
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+}