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  1. 20260517_165922/nas_best.json +154 -0
  2. 20260517_165922/nas_log.csv +0 -0
  3. 20260517_165922/nas_top1.json +154 -0
  4. 20260517_165922/nas_top2.json +154 -0
  5. 20260517_165922/nas_top3.json +154 -0
  6. 20260517_165922/trial_000/nxon2_430391171__BestFitness.json +0 -0
  7. 20260517_165922/trial_000/nxon2_430391171__BestFoodFound.json +0 -0
  8. 20260517_165922/trial_000/nxon2_430391171__BestFoodTaken.json +0 -0
  9. 20260517_165922/trial_000/nxon2_430391171__BestMates.json +0 -0
  10. 20260517_165922/trial_000/nxon2_430391171__BestTimeLived.json +0 -0
  11. 20260517_165922/trial_000/nxon2_430391171__BestWorldExplorer.json +0 -0
  12. 20260517_165922/trial_000/nxon2_430391171__KeyMetrics.txt +0 -0
  13. 20260517_165922/trial_000/nxon2_430391171__LifespanLog.txt +44 -0
  14. 20260517_165922/trial_000/nxon2_430391171__MembraneDiag.txt +347 -0
  15. 20260517_165922/trial_000__arch.json +50 -0
  16. 20260517_165922/trial_001/nxon2_024722855__BestFitness.json +0 -0
  17. 20260517_165922/trial_001/nxon2_024722855__BestFoodFound.json +0 -0
  18. 20260517_165922/trial_001/nxon2_024722855__BestFoodTaken.json +0 -0
  19. 20260517_165922/trial_001/nxon2_024722855__BestMates.json +0 -0
  20. 20260517_165922/trial_001/nxon2_024722855__BestTimeLived.json +0 -0
  21. 20260517_165922/trial_001/nxon2_024722855__BestWorldExplorer.json +0 -0
  22. 20260517_165922/trial_001/nxon2_024722855__KeyMetrics.txt +0 -0
  23. 20260517_165922/trial_001/nxon2_024722855__LifespanLog.txt +41 -0
  24. 20260517_165922/trial_001/nxon2_024722855__MembraneDiag.txt +545 -0
  25. 20260517_165922/trial_001__arch.json +50 -0
  26. 20260517_165922/trial_002/nxon2_117492643__BestFitness.json +0 -0
  27. 20260517_165922/trial_002/nxon2_117492643__BestFoodFound.json +0 -0
  28. 20260517_165922/trial_002/nxon2_117492643__BestFoodTaken.json +0 -0
  29. 20260517_165922/trial_002/nxon2_117492643__BestMates.json +0 -0
  30. 20260517_165922/trial_002/nxon2_117492643__BestTimeLived.json +0 -0
  31. 20260517_165922/trial_002/nxon2_117492643__BestWorldExplorer.json +0 -0
  32. 20260517_165922/trial_002/nxon2_117492643__KeyMetrics.txt +0 -0
  33. 20260517_165922/trial_002/nxon2_117492643__LifespanLog.txt +42 -0
  34. 20260517_165922/trial_002/nxon2_117492643__MembraneDiag.txt +311 -0
  35. 20260517_165922/trial_002__arch.json +50 -0
  36. 20260517_165922/trial_003/nxon2_729357211__BestFitness.json +0 -0
  37. 20260517_165922/trial_003/nxon2_729357211__BestFoodFound.json +0 -0
  38. 20260517_165922/trial_003/nxon2_729357211__BestFoodTaken.json +0 -0
  39. 20260517_165922/trial_003/nxon2_729357211__BestMates.json +0 -0
  40. 20260517_165922/trial_003/nxon2_729357211__BestTimeLived.json +0 -0
  41. 20260517_165922/trial_003/nxon2_729357211__BestWorldExplorer.json +0 -0
  42. 20260517_165922/trial_003/nxon2_729357211__KeyMetrics.txt +0 -0
  43. 20260517_165922/trial_003/nxon2_729357211__LifespanLog.txt +47 -0
  44. 20260517_165922/trial_003/nxon2_729357211__MembraneDiag.txt +1085 -0
  45. 20260517_165922/trial_003__arch.json +50 -0
  46. 20260517_165922/trial_004/nxon2_005929900__BestFitness.json +0 -0
  47. 20260517_165922/trial_004/nxon2_005929900__BestFoodFound.json +0 -0
  48. 20260517_165922/trial_004/nxon2_005929900__BestFoodTaken.json +0 -0
  49. 20260517_165922/trial_004/nxon2_005929900__BestMates.json +0 -0
  50. 20260517_165922/trial_004/nxon2_005929900__BestTimeLived.json +0 -0
20260517_165922/nas_best.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_meta": {
3
+ "name": "nas_best_t002",
4
+ "version": "NxonArchNAS v0.4 (v162)",
5
+ "description": "Architecture found by NAS \u2014 trial 2, fitness 6.8494. 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",
6
+ "source": "NxonArchNAS",
7
+ "rank": 1,
8
+ "trial_id": 2,
9
+ "fitness": 6.8494038815666896,
10
+ "saved_at": "2026-05-17T18:45:00",
11
+ "notes": [
12
+ "Sections inherited from default.json: healthy_bands (unchanged target ranges)",
13
+ "Sections overridden by NAS: biology, neural, operating_ranges, genetic_lottery",
14
+ "Load with NEURAXON_ARCH=path/to/this.json python main.py"
15
+ ]
16
+ },
17
+ "biology": {
18
+ "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
19
+ "metabolic_ramp_per_sec": 13.010591334933011,
20
+ "_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.",
21
+ "max_atrophy": 4.464804848598631,
22
+ "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
23
+ "metabolic_rate_abs_cap_multiple": 24.862702189596735,
24
+ "_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).",
25
+ "start_food_default": 25.0,
26
+ "food_respawn_default": 400,
27
+ "food_sources_default": 50,
28
+ "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
29
+ "mate_cooldown_seconds": 19,
30
+ "circadian_cycle_ticks": 332,
31
+ "idle_explore_seconds": 1.990289870703219,
32
+ "explore_probability": 0.23356276852957036,
33
+ "_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."
34
+ },
35
+ "neural": {
36
+ "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
37
+ "num_input_neurons": 10,
38
+ "num_output_neurons": 7,
39
+ "num_hidden_neurons_default": 16,
40
+ "_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).",
41
+ "connection_probability": 0.2703494361066987,
42
+ "afferent_synapse_strength": 0.6794263262538567,
43
+ "proprioceptive_afferent_gain": 1.8,
44
+ "sensory_input_gain": 0.9,
45
+ "firing_threshold_excitatory": 0.6739408372556634,
46
+ "firing_threshold_inhibitory": -0.55,
47
+ "spontaneous_firing_rate": 0.024094772943053604,
48
+ "intrinsic_timescale_default": 23.794113955817473,
49
+ "resting_potential_decay": 0.15315663601353516,
50
+ "sensorimotor_coupling": 1.4976937784768318,
51
+ "_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.",
52
+ "symmetric_stdp": true,
53
+ "_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.",
54
+ "refractory_period_ticks": 2,
55
+ "_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.",
56
+ "post_spike_mp_reset": 0.26488016649805246,
57
+ "_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.",
58
+ "_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.",
59
+ "sphere_topology": "chc6",
60
+ "cross_sphere_coupling": 1.0859893311408328,
61
+ "cryst_capacity": 2.494651555978322,
62
+ "free_energy_beta": 0.535163966314455
63
+ },
64
+ "operating_ranges": {
65
+ "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
66
+ "learning_rate": 0.004423850642103479,
67
+ "plasticity_threshold": 0.5245472536652602,
68
+ "adaptation_tau_ticks": 33.38343960894162,
69
+ "adaptation_target_excitatory_multiplier": 1.5,
70
+ "adaptation_target_inhibitory_multiplier": 1.0,
71
+ "_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.",
72
+ "autoreceptor_coefficient": 0.10254832170458705,
73
+ "autoreceptor_tau_ticks": 150.0,
74
+ "autoreceptor_rate_coeff": 0.35,
75
+ "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
76
+ "sensory_boost_function": "tanh",
77
+ "sensory_boost_scale": 1.0,
78
+ "_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.",
79
+ "plasticity_brake_threshold": 0.5,
80
+ "plasticity_brake_slope": 1.8,
81
+ "plasticity_brake_floor": 0.1,
82
+ "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
83
+ "fitness_g_weight": 0.493515834889631
84
+ },
85
+ "genetic_lottery": {
86
+ "_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.",
87
+ "metabolic_rate_multiplier_range": [
88
+ 0.8645237551368081,
89
+ 1.5236066003166662
90
+ ],
91
+ "_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.",
92
+ "intrinsic_timescale_jitter": 1.2227305547860885,
93
+ "_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).",
94
+ "firing_threshold_jitter": 0.02399730025836754,
95
+ "_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.",
96
+ "mutation_strength": 0.10846255775452253,
97
+ "_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."
98
+ },
99
+ "healthy_bands": {
100
+ "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
101
+ "M1_excitatory_fraction": [
102
+ 0.18,
103
+ 0.28
104
+ ],
105
+ "M2_mean_gate": [
106
+ 0.4,
107
+ 0.85
108
+ ],
109
+ "M3_pac_modulation_idx": [
110
+ 0.005,
111
+ 0.1
112
+ ],
113
+ "M5_branching_ratio": [
114
+ 0.92,
115
+ 1.1
116
+ ],
117
+ "M6_spontaneous_fraction": [
118
+ 0.1,
119
+ 0.45
120
+ ],
121
+ "M7_zero_input_mi_ratio": [
122
+ 0.4,
123
+ 1.2
124
+ ],
125
+ "M9_transfer_ratio": [
126
+ 0.85,
127
+ 1.3
128
+ ],
129
+ "M10_heritability_r": [
130
+ 0.2,
131
+ 1.0
132
+ ],
133
+ "sensory_motor_corr": [
134
+ 0.2,
135
+ 1.0
136
+ ],
137
+ "pop_mean_idle_seconds": [
138
+ 0.0,
139
+ 1.5
140
+ ],
141
+ "input_saturation_fraction": [
142
+ 0.0,
143
+ 0.3
144
+ ],
145
+ "input_locked_fraction": [
146
+ 0.0,
147
+ 0.2
148
+ ],
149
+ "exploration_trigger_rate": [
150
+ 0.01,
151
+ 0.4
152
+ ]
153
+ }
154
+ }
20260517_165922/nas_log.csv ADDED
The diff for this file is too large to render. See raw diff
 
20260517_165922/nas_top1.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_meta": {
3
+ "name": "nas_best_t002",
4
+ "version": "NxonArchNAS v0.4 (v162)",
5
+ "description": "Architecture found by NAS \u2014 trial 2, fitness 6.8494. 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",
6
+ "source": "NxonArchNAS",
7
+ "rank": 1,
8
+ "trial_id": 2,
9
+ "fitness": 6.8494038815666896,
10
+ "saved_at": "2026-05-17T21:41:09",
11
+ "notes": [
12
+ "Sections inherited from default.json: healthy_bands (unchanged target ranges)",
13
+ "Sections overridden by NAS: biology, neural, operating_ranges, genetic_lottery",
14
+ "Load with NEURAXON_ARCH=path/to/this.json python main.py"
15
+ ]
16
+ },
17
+ "biology": {
18
+ "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
19
+ "metabolic_ramp_per_sec": 13.010591334933011,
20
+ "_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.",
21
+ "max_atrophy": 4.464804848598631,
22
+ "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
23
+ "metabolic_rate_abs_cap_multiple": 24.862702189596735,
24
+ "_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).",
25
+ "start_food_default": 25.0,
26
+ "food_respawn_default": 400,
27
+ "food_sources_default": 50,
28
+ "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
29
+ "mate_cooldown_seconds": 19,
30
+ "circadian_cycle_ticks": 332,
31
+ "idle_explore_seconds": 1.990289870703219,
32
+ "explore_probability": 0.23356276852957036,
33
+ "_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."
34
+ },
35
+ "neural": {
36
+ "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
37
+ "num_input_neurons": 10,
38
+ "num_output_neurons": 7,
39
+ "num_hidden_neurons_default": 16,
40
+ "_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).",
41
+ "connection_probability": 0.2703494361066987,
42
+ "afferent_synapse_strength": 0.6794263262538567,
43
+ "proprioceptive_afferent_gain": 1.8,
44
+ "sensory_input_gain": 0.9,
45
+ "firing_threshold_excitatory": 0.6739408372556634,
46
+ "firing_threshold_inhibitory": -0.55,
47
+ "spontaneous_firing_rate": 0.024094772943053604,
48
+ "intrinsic_timescale_default": 23.794113955817473,
49
+ "resting_potential_decay": 0.15315663601353516,
50
+ "sensorimotor_coupling": 1.4976937784768318,
51
+ "_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.",
52
+ "symmetric_stdp": true,
53
+ "_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.",
54
+ "refractory_period_ticks": 2,
55
+ "_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.",
56
+ "post_spike_mp_reset": 0.26488016649805246,
57
+ "_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.",
58
+ "_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.",
59
+ "sphere_topology": "chc6",
60
+ "cross_sphere_coupling": 1.0859893311408328,
61
+ "cryst_capacity": 2.494651555978322,
62
+ "free_energy_beta": 0.535163966314455
63
+ },
64
+ "operating_ranges": {
65
+ "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
66
+ "learning_rate": 0.004423850642103479,
67
+ "plasticity_threshold": 0.5245472536652602,
68
+ "adaptation_tau_ticks": 33.38343960894162,
69
+ "adaptation_target_excitatory_multiplier": 1.5,
70
+ "adaptation_target_inhibitory_multiplier": 1.0,
71
+ "_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.",
72
+ "autoreceptor_coefficient": 0.10254832170458705,
73
+ "autoreceptor_tau_ticks": 150.0,
74
+ "autoreceptor_rate_coeff": 0.35,
75
+ "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
76
+ "sensory_boost_function": "tanh",
77
+ "sensory_boost_scale": 1.0,
78
+ "_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.",
79
+ "plasticity_brake_threshold": 0.5,
80
+ "plasticity_brake_slope": 1.8,
81
+ "plasticity_brake_floor": 0.1,
82
+ "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
83
+ "fitness_g_weight": 0.493515834889631
84
+ },
85
+ "genetic_lottery": {
86
+ "_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.",
87
+ "metabolic_rate_multiplier_range": [
88
+ 0.8645237551368081,
89
+ 1.5236066003166662
90
+ ],
91
+ "_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.",
92
+ "intrinsic_timescale_jitter": 1.2227305547860885,
93
+ "_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).",
94
+ "firing_threshold_jitter": 0.02399730025836754,
95
+ "_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.",
96
+ "mutation_strength": 0.10846255775452253,
97
+ "_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."
98
+ },
99
+ "healthy_bands": {
100
+ "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
101
+ "M1_excitatory_fraction": [
102
+ 0.18,
103
+ 0.28
104
+ ],
105
+ "M2_mean_gate": [
106
+ 0.4,
107
+ 0.85
108
+ ],
109
+ "M3_pac_modulation_idx": [
110
+ 0.005,
111
+ 0.1
112
+ ],
113
+ "M5_branching_ratio": [
114
+ 0.92,
115
+ 1.1
116
+ ],
117
+ "M6_spontaneous_fraction": [
118
+ 0.1,
119
+ 0.45
120
+ ],
121
+ "M7_zero_input_mi_ratio": [
122
+ 0.4,
123
+ 1.2
124
+ ],
125
+ "M9_transfer_ratio": [
126
+ 0.85,
127
+ 1.3
128
+ ],
129
+ "M10_heritability_r": [
130
+ 0.2,
131
+ 1.0
132
+ ],
133
+ "sensory_motor_corr": [
134
+ 0.2,
135
+ 1.0
136
+ ],
137
+ "pop_mean_idle_seconds": [
138
+ 0.0,
139
+ 1.5
140
+ ],
141
+ "input_saturation_fraction": [
142
+ 0.0,
143
+ 0.3
144
+ ],
145
+ "input_locked_fraction": [
146
+ 0.0,
147
+ 0.2
148
+ ],
149
+ "exploration_trigger_rate": [
150
+ 0.01,
151
+ 0.4
152
+ ]
153
+ }
154
+ }
20260517_165922/nas_top2.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_meta": {
3
+ "name": "nas_best_t011",
4
+ "version": "NxonArchNAS v0.4 (v162)",
5
+ "description": "Architecture found by NAS \u2014 trial 11, fitness 6.8101. 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",
6
+ "source": "NxonArchNAS",
7
+ "rank": 2,
8
+ "trial_id": 11,
9
+ "fitness": 6.810118998839366,
10
+ "saved_at": "2026-05-17T21:41:09",
11
+ "notes": [
12
+ "Sections inherited from default.json: healthy_bands (unchanged target ranges)",
13
+ "Sections overridden by NAS: biology, neural, operating_ranges, genetic_lottery",
14
+ "Load with NEURAXON_ARCH=path/to/this.json python main.py"
15
+ ]
16
+ },
17
+ "biology": {
18
+ "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
19
+ "metabolic_ramp_per_sec": 14.725527986445789,
20
+ "_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.",
21
+ "max_atrophy": 4.5725390800048995,
22
+ "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
23
+ "metabolic_rate_abs_cap_multiple": 9.230550604475479,
24
+ "_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).",
25
+ "start_food_default": 25.0,
26
+ "food_respawn_default": 400,
27
+ "food_sources_default": 50,
28
+ "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
29
+ "mate_cooldown_seconds": 19,
30
+ "circadian_cycle_ticks": 371,
31
+ "idle_explore_seconds": 0.724885534320959,
32
+ "explore_probability": 0.3969571707186239,
33
+ "_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."
34
+ },
35
+ "neural": {
36
+ "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
37
+ "num_input_neurons": 10,
38
+ "num_output_neurons": 7,
39
+ "num_hidden_neurons_default": 14,
40
+ "_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).",
41
+ "connection_probability": 0.2553438387248257,
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+ "afferent_synapse_strength": 1.211286810633645,
43
+ "proprioceptive_afferent_gain": 1.8,
44
+ "sensory_input_gain": 0.9,
45
+ "firing_threshold_excitatory": 0.6038554355080791,
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+ "firing_threshold_inhibitory": -0.55,
47
+ "spontaneous_firing_rate": 0.051860806896196036,
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+ "intrinsic_timescale_default": 15.285297100716956,
49
+ "resting_potential_decay": 0.10690013377990898,
50
+ "sensorimotor_coupling": 2.631115234726681,
51
+ "_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.",
52
+ "symmetric_stdp": true,
53
+ "_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.",
54
+ "refractory_period_ticks": 2,
55
+ "_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.",
56
+ "post_spike_mp_reset": 0.5805897337387078,
57
+ "_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.",
58
+ "_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.",
59
+ "sphere_topology": "chc6",
60
+ "cross_sphere_coupling": 1.3091816516118238,
61
+ "cryst_capacity": 2.46847169863318,
62
+ "free_energy_beta": 0.49659783284986175
63
+ },
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+ "operating_ranges": {
65
+ "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
66
+ "learning_rate": 0.04742143502257988,
67
+ "plasticity_threshold": 0.3153028789413051,
68
+ "adaptation_tau_ticks": 23.82748446719201,
69
+ "adaptation_target_excitatory_multiplier": 1.5,
70
+ "adaptation_target_inhibitory_multiplier": 1.0,
71
+ "_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.",
72
+ "autoreceptor_coefficient": 0.16931425099754893,
73
+ "autoreceptor_tau_ticks": 150.0,
74
+ "autoreceptor_rate_coeff": 0.35,
75
+ "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
76
+ "sensory_boost_function": "tanh",
77
+ "sensory_boost_scale": 1.0,
78
+ "_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.",
79
+ "plasticity_brake_threshold": 0.5,
80
+ "plasticity_brake_slope": 1.8,
81
+ "plasticity_brake_floor": 0.1,
82
+ "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
83
+ "fitness_g_weight": 0.8995047329111996
84
+ },
85
+ "genetic_lottery": {
86
+ "_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.",
87
+ "metabolic_rate_multiplier_range": [
88
+ 0.6665275710758036,
89
+ 1.0744125935422772
90
+ ],
91
+ "_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.",
92
+ "intrinsic_timescale_jitter": 3.4884601236397783,
93
+ "_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).",
94
+ "firing_threshold_jitter": 0.07798805228498781,
95
+ "_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.",
96
+ "mutation_strength": 0.12484641306101352,
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+ "_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."
98
+ },
99
+ "healthy_bands": {
100
+ "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
101
+ "M1_excitatory_fraction": [
102
+ 0.18,
103
+ 0.28
104
+ ],
105
+ "M2_mean_gate": [
106
+ 0.4,
107
+ 0.85
108
+ ],
109
+ "M3_pac_modulation_idx": [
110
+ 0.005,
111
+ 0.1
112
+ ],
113
+ "M5_branching_ratio": [
114
+ 0.92,
115
+ 1.1
116
+ ],
117
+ "M6_spontaneous_fraction": [
118
+ 0.1,
119
+ 0.45
120
+ ],
121
+ "M7_zero_input_mi_ratio": [
122
+ 0.4,
123
+ 1.2
124
+ ],
125
+ "M9_transfer_ratio": [
126
+ 0.85,
127
+ 1.3
128
+ ],
129
+ "M10_heritability_r": [
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+ 0.2,
131
+ 1.0
132
+ ],
133
+ "sensory_motor_corr": [
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+ 0.2,
135
+ 1.0
136
+ ],
137
+ "pop_mean_idle_seconds": [
138
+ 0.0,
139
+ 1.5
140
+ ],
141
+ "input_saturation_fraction": [
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+ 0.0,
143
+ 0.3
144
+ ],
145
+ "input_locked_fraction": [
146
+ 0.0,
147
+ 0.2
148
+ ],
149
+ "exploration_trigger_rate": [
150
+ 0.01,
151
+ 0.4
152
+ ]
153
+ }
154
+ }
20260517_165922/nas_top3.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_meta": {
3
+ "name": "nas_best_t006",
4
+ "version": "NxonArchNAS v0.4 (v162)",
5
+ "description": "Architecture found by NAS \u2014 trial 6, fitness 6.7970. 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",
6
+ "source": "NxonArchNAS",
7
+ "rank": 3,
8
+ "trial_id": 6,
9
+ "fitness": 6.797011478729191,
10
+ "saved_at": "2026-05-17T21:41:09",
11
+ "notes": [
12
+ "Sections inherited from default.json: healthy_bands (unchanged target ranges)",
13
+ "Sections overridden by NAS: biology, neural, operating_ranges, genetic_lottery",
14
+ "Load with NEURAXON_ARCH=path/to/this.json python main.py"
15
+ ]
16
+ },
17
+ "biology": {
18
+ "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
19
+ "metabolic_ramp_per_sec": 13.651417415058923,
20
+ "_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.",
21
+ "max_atrophy": 12.307998896632935,
22
+ "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
23
+ "metabolic_rate_abs_cap_multiple": 13.681989676729808,
24
+ "_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).",
25
+ "start_food_default": 25.0,
26
+ "food_respawn_default": 400,
27
+ "food_sources_default": 50,
28
+ "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
29
+ "mate_cooldown_seconds": 8,
30
+ "circadian_cycle_ticks": 732,
31
+ "idle_explore_seconds": 0.7214981587116389,
32
+ "explore_probability": 0.5217714523462067,
33
+ "_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."
34
+ },
35
+ "neural": {
36
+ "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
37
+ "num_input_neurons": 10,
38
+ "num_output_neurons": 7,
39
+ "num_hidden_neurons_default": 11,
40
+ "_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).",
41
+ "connection_probability": 0.23356354340008215,
42
+ "afferent_synapse_strength": 0.8997677374585207,
43
+ "proprioceptive_afferent_gain": 1.8,
44
+ "sensory_input_gain": 0.9,
45
+ "firing_threshold_excitatory": 0.6769796797828038,
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+ "firing_threshold_inhibitory": -0.55,
47
+ "spontaneous_firing_rate": 0.01708254562697823,
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+ "intrinsic_timescale_default": 26.94968030476027,
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+ "resting_potential_decay": 0.237581328112462,
50
+ "sensorimotor_coupling": 0.1517649885746437,
51
+ "_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.",
52
+ "symmetric_stdp": false,
53
+ "_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.",
54
+ "refractory_period_ticks": 1,
55
+ "_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.",
56
+ "post_spike_mp_reset": 0.9263669830081276,
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+ "_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.",
58
+ "_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.",
59
+ "sphere_topology": "chc6",
60
+ "cross_sphere_coupling": 2.707328596531646,
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+ "cryst_capacity": 0.8292742428030537,
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+ "free_energy_beta": 0.3036641431974249
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+ },
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+ "operating_ranges": {
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+ "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
66
+ "learning_rate": 0.030722440937841676,
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+ "plasticity_threshold": 0.3665244442415656,
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+ "adaptation_tau_ticks": 18.549891967967266,
69
+ "adaptation_target_excitatory_multiplier": 1.5,
70
+ "adaptation_target_inhibitory_multiplier": 1.0,
71
+ "_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.",
72
+ "autoreceptor_coefficient": 0.1471282250901437,
73
+ "autoreceptor_tau_ticks": 150.0,
74
+ "autoreceptor_rate_coeff": 0.35,
75
+ "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
76
+ "sensory_boost_function": "tanh",
77
+ "sensory_boost_scale": 1.0,
78
+ "_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.",
79
+ "plasticity_brake_threshold": 0.5,
80
+ "plasticity_brake_slope": 1.8,
81
+ "plasticity_brake_floor": 0.1,
82
+ "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
83
+ "fitness_g_weight": 0.39042175758781317
84
+ },
85
+ "genetic_lottery": {
86
+ "_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.",
87
+ "metabolic_rate_multiplier_range": [
88
+ 0.9242813257457667,
89
+ 1.481821146236767
90
+ ],
91
+ "_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.",
92
+ "intrinsic_timescale_jitter": 2.2819938315753623,
93
+ "_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).",
94
+ "firing_threshold_jitter": 0.10448872554002438,
95
+ "_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.",
96
+ "mutation_strength": 0.11496569126401059,
97
+ "_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."
98
+ },
99
+ "healthy_bands": {
100
+ "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
101
+ "M1_excitatory_fraction": [
102
+ 0.18,
103
+ 0.28
104
+ ],
105
+ "M2_mean_gate": [
106
+ 0.4,
107
+ 0.85
108
+ ],
109
+ "M3_pac_modulation_idx": [
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+ 0.005,
111
+ 0.1
112
+ ],
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+ "M5_branching_ratio": [
114
+ 0.92,
115
+ 1.1
116
+ ],
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+ "M6_spontaneous_fraction": [
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+ 0.1,
119
+ 0.45
120
+ ],
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+ "M7_zero_input_mi_ratio": [
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+ 0.4,
123
+ 1.2
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+ ],
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+ "M9_transfer_ratio": [
126
+ 0.85,
127
+ 1.3
128
+ ],
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+ "M10_heritability_r": [
130
+ 0.2,
131
+ 1.0
132
+ ],
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+ "sensory_motor_corr": [
134
+ 0.2,
135
+ 1.0
136
+ ],
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+ "pop_mean_idle_seconds": [
138
+ 0.0,
139
+ 1.5
140
+ ],
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+ "input_saturation_fraction": [
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+ 0.0,
143
+ 0.3
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+ ],
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+ "input_locked_fraction": [
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+ 0.0,
147
+ 0.2
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+ ],
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+ "exploration_trigger_rate": [
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+ 0.01,
151
+ 0.4
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+ ]
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+ }
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+ }
20260517_165922/trial_000/nxon2_430391171__BestFitness.json ADDED
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20260517_165922/trial_000/nxon2_430391171__BestFoodFound.json ADDED
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20260517_165922/trial_000/nxon2_430391171__BestFoodTaken.json ADDED
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20260517_165922/trial_000/nxon2_430391171__BestMates.json ADDED
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20260517_165922/trial_000/nxon2_430391171__BestTimeLived.json ADDED
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20260517_165922/trial_000/nxon2_430391171__BestWorldExplorer.json ADDED
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20260517_165922/trial_000/nxon2_430391171__KeyMetrics.txt ADDED
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20260517_165922/trial_000/nxon2_430391171__LifespanLog.txt ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Neuraxon Game of Life v4.92 — Per-NxEr lifespan log
2
+ # game_id=nxon2_430391171
3
+ # deaths=1 survivors_listed=36
4
+ # founders_at_start=30
5
+ # founders_still_alive_at_export=29
6
+ # format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
7
+ nxer_id birth_tick death_tick age_ticks was_original status
8
+ 2 1 1825 1824 1 DIED
9
+ 0 1 -1 1979 1 ALIVE
10
+ 1 1 -1 1979 1 ALIVE
11
+ 3 1 -1 1979 1 ALIVE
12
+ 4 1 -1 1979 1 ALIVE
13
+ 5 1 -1 1979 1 ALIVE
14
+ 6 1 -1 1979 1 ALIVE
15
+ 7 1 -1 1979 1 ALIVE
16
+ 8 1 -1 1979 1 ALIVE
17
+ 9 1 -1 1979 1 ALIVE
18
+ 10 1 -1 1979 1 ALIVE
19
+ 11 1 -1 1979 1 ALIVE
20
+ 12 1 -1 1979 1 ALIVE
21
+ 13 1 -1 1979 1 ALIVE
22
+ 14 1 -1 1979 1 ALIVE
23
+ 15 1 -1 1979 1 ALIVE
24
+ 16 1 -1 1979 1 ALIVE
25
+ 17 1 -1 1979 1 ALIVE
26
+ 18 1 -1 1979 1 ALIVE
27
+ 19 1 -1 1979 1 ALIVE
28
+ 20 1 -1 1979 1 ALIVE
29
+ 21 1 -1 1979 1 ALIVE
30
+ 22 1 -1 1979 1 ALIVE
31
+ 23 1 -1 1979 1 ALIVE
32
+ 24 1 -1 1979 1 ALIVE
33
+ 25 1 -1 1979 1 ALIVE
34
+ 26 1 -1 1979 1 ALIVE
35
+ 27 1 -1 1979 1 ALIVE
36
+ 28 1 -1 1979 1 ALIVE
37
+ 29 1 -1 1979 1 ALIVE
38
+ 30 536 -1 1444 0 ALIVE
39
+ 31 545 -1 1435 0 ALIVE
40
+ 32 703 -1 1277 0 ALIVE
41
+ 33 901 -1 1079 0 ALIVE
42
+ 34 971 -1 1009 0 ALIVE
43
+ 35 1045 -1 935 0 ALIVE
44
+ 36 1434 -1 546 0 ALIVE
20260517_165922/trial_000/nxon2_430391171__MembraneDiag.txt ADDED
@@ -0,0 +1,347 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Neuraxon Game of Life v4.92 — Membrane diagnostics
2
+ # game_id=nxon2_430391171
3
+ # rows=342
4
+ # sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
5
+ 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 0.955232 0.112391 0.025025 0 0.161057 3 127.912840
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+ 100 0 0 input -0.359332 0.110564 0.030840 0 0.180435 4 110.053154
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+ 100 0 1 input -0.517601 0.131626 0.027710 0 0.169560 1 155.825547
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+ 100 1 7 hidden 0.263961 0.131003 0.031594 0 0.144208 2 70.005379
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+ 100 1 8 hidden 0.860029 0.158539 0.032789 0 0.147664 1 73.935689
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+ 100 1 0 input 0.816577 0.147361 0.036033 0 0.159327 1 35.207767
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+ 100 1 1 input 0.456715 0.125140 0.029372 1 0.144931 1 83.600621
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+ 100 1 2 input -1.100737 0.130617 0.033250 0 0.149906 4 62.945815
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+ 100 2 6 hidden 0.267020 0.095894 0.025677 0 0.139661 2 73.901897
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+ 100 2 1 input 0.837425 0.099058 0.025146 0 0.136641 3 51.654707
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20260517_165922/trial_000__arch.json ADDED
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+ {
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+ "_meta": {
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+ "source": "NxonArchNAS",
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+ "trial_id": 0,
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+ "sampled_at": "2026-05-17T16:59:23"
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+ "explore_probability": 0.6418827284984074,
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+ "refractory_period_ticks": 3,
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20260517_165922/trial_001/nxon2_024722855__BestFitness.json ADDED
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20260517_165922/trial_001/nxon2_024722855__BestFoodFound.json ADDED
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20260517_165922/trial_001/nxon2_024722855__BestFoodTaken.json ADDED
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20260517_165922/trial_001/nxon2_024722855__BestMates.json ADDED
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20260517_165922/trial_001/nxon2_024722855__BestTimeLived.json ADDED
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20260517_165922/trial_001/nxon2_024722855__BestWorldExplorer.json ADDED
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20260517_165922/trial_001/nxon2_024722855__KeyMetrics.txt ADDED
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20260517_165922/trial_001/nxon2_024722855__LifespanLog.txt ADDED
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1
+ # Neuraxon Game of Life v4.92 — Per-NxEr lifespan log
2
+ # game_id=nxon2_024722855
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+ # deaths=1 survivors_listed=33
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+ # founders_at_start=30
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+ # founders_still_alive_at_export=30
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+ # format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
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+ nxer_id birth_tick death_tick age_ticks was_original status
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+ 30 706 2690 1984 0 DIED
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+ 0 1 -1 3022 1 ALIVE
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+ 1 1 -1 3022 1 ALIVE
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+ 2 1 -1 3022 1 ALIVE
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+ 3 1 -1 3022 1 ALIVE
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+ 4 1 -1 3022 1 ALIVE
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+ 5 1 -1 3022 1 ALIVE
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+ 6 1 -1 3022 1 ALIVE
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+ 7 1 -1 3022 1 ALIVE
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+ 8 1 -1 3022 1 ALIVE
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+ 9 1 -1 3022 1 ALIVE
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+ 10 1 -1 3022 1 ALIVE
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+ 11 1 -1 3022 1 ALIVE
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+ 12 1 -1 3022 1 ALIVE
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+ 13 1 -1 3022 1 ALIVE
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+ 14 1 -1 3022 1 ALIVE
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+ 15 1 -1 3022 1 ALIVE
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+ 16 1 -1 3022 1 ALIVE
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+ 17 1 -1 3022 1 ALIVE
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+ 18 1 -1 3022 1 ALIVE
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+ 19 1 -1 3022 1 ALIVE
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+ 20 1 -1 3022 1 ALIVE
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+ 21 1 -1 3022 1 ALIVE
31
+ 22 1 -1 3022 1 ALIVE
32
+ 23 1 -1 3022 1 ALIVE
33
+ 24 1 -1 3022 1 ALIVE
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+ 25 1 -1 3022 1 ALIVE
35
+ 26 1 -1 3022 1 ALIVE
36
+ 27 1 -1 3022 1 ALIVE
37
+ 28 1 -1 3022 1 ALIVE
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+ 29 1 -1 3022 1 ALIVE
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+ 31 2244 -1 779 0 ALIVE
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+ 32 2774 -1 249 0 ALIVE
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+ 33 2931 -1 92 0 ALIVE
20260517_165922/trial_001/nxon2_024722855__MembraneDiag.txt ADDED
@@ -0,0 +1,545 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Neuraxon Game of Life v4.92 — Membrane diagnostics
2
+ # game_id=nxon2_024722855
3
+ # rows=540
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+ # sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
5
+ tick nxer_id neuron_id layer mp adapt autoreceptor trinary_state firing_rate_avg state_streak energy_level
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20260517_165922/trial_001__arch.json ADDED
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+ {
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+ "_meta": {
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+ "source": "NxonArchNAS",
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+ "trial_id": 1,
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+ "sampled_at": "2026-05-17T16:59:23"
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+ },
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+ "biology": {
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+ "metabolic_ramp_per_sec": 13.675708587101086,
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+ "max_atrophy": 8.73907923463846,
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+ "metabolic_rate_abs_cap_multiple": 58.602019726927274,
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+ "idle_explore_seconds": 1.1327756298583778,
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+ "explore_probability": 0.5312243787639362,
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+ "mate_cooldown_seconds": 19,
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+ "circadian_cycle_ticks": 943
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+ },
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+ "neural": {
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+ "num_hidden_neurons_default": 17,
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+ "connection_probability": 0.32320564357702863,
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+ "afferent_synapse_strength": 1.4454862034579081,
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+ "firing_threshold_excitatory": 0.4137473150966987,
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+ "spontaneous_firing_rate": 0.0094056079454035,
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+ "intrinsic_timescale_default": 14.366535199246357,
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+ "resting_potential_decay": 0.11994799423090688,
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+ "sensorimotor_coupling": 0.6983726590830905,
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+ "symmetric_stdp": false,
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+ "refractory_period_ticks": 6,
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+ "post_spike_mp_reset": 0.2779736031100921,
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+ "sphere_topology": "chc6",
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+ "cross_sphere_coupling": 2.105460940375654,
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+ "cryst_capacity": 1.8670953310733345,
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+ },
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+ "operating_ranges": {
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+ "plasticity_threshold": 0.4459328715880337,
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+ "autoreceptor_coefficient": 0.12403619342337653,
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+ "adaptation_tau_ticks": 18.38028123085951,
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+ "fitness_g_weight": 0.6349782881970603
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+ "healthy_bands": {},
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+ "genetic_lottery": {
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+ "mutation_strength": 0.14030085335075831,
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+ }
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+ }
20260517_165922/trial_002/nxon2_117492643__BestFitness.json ADDED
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20260517_165922/trial_002/nxon2_117492643__BestFoodFound.json ADDED
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20260517_165922/trial_002/nxon2_117492643__BestFoodTaken.json ADDED
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20260517_165922/trial_002/nxon2_117492643__BestMates.json ADDED
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20260517_165922/trial_002/nxon2_117492643__BestTimeLived.json ADDED
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20260517_165922/trial_002/nxon2_117492643__BestWorldExplorer.json ADDED
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20260517_165922/trial_002/nxon2_117492643__KeyMetrics.txt ADDED
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20260517_165922/trial_002/nxon2_117492643__LifespanLog.txt ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Neuraxon Game of Life v4.92 — Per-NxEr lifespan log
2
+ # game_id=nxon2_117492643
3
+ # deaths=5 survivors_listed=30
4
+ # founders_at_start=30
5
+ # founders_still_alive_at_export=27
6
+ # format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
7
+ nxer_id birth_tick death_tick age_ticks was_original status
8
+ 25 1 760 759 1 DIED
9
+ 0 1 856 855 1 DIED
10
+ 34 870 1023 153 0 DIED
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+ 19 1 1717 1716 1 DIED
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+ 32 721 1765 1044 0 DIED
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+ 1 1 -1 1789 1 ALIVE
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+ 2 1 -1 1789 1 ALIVE
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+ 3 1 -1 1789 1 ALIVE
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+ 4 1 -1 1789 1 ALIVE
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+ 5 1 -1 1789 1 ALIVE
18
+ 6 1 -1 1789 1 ALIVE
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+ 7 1 -1 1789 1 ALIVE
20
+ 8 1 -1 1789 1 ALIVE
21
+ 9 1 -1 1789 1 ALIVE
22
+ 10 1 -1 1789 1 ALIVE
23
+ 11 1 -1 1789 1 ALIVE
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+ 12 1 -1 1789 1 ALIVE
25
+ 13 1 -1 1789 1 ALIVE
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+ 14 1 -1 1789 1 ALIVE
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+ 15 1 -1 1789 1 ALIVE
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+ 16 1 -1 1789 1 ALIVE
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+ 17 1 -1 1789 1 ALIVE
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+ 18 1 -1 1789 1 ALIVE
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+ 20 1 -1 1789 1 ALIVE
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+ 21 1 -1 1789 1 ALIVE
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+ 22 1 -1 1789 1 ALIVE
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+ 23 1 -1 1789 1 ALIVE
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+ 24 1 -1 1789 1 ALIVE
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+ 26 1 -1 1789 1 ALIVE
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+ 27 1 -1 1789 1 ALIVE
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+ 28 1 -1 1789 1 ALIVE
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+ 29 1 -1 1789 1 ALIVE
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+ 30 480 -1 1310 0 ALIVE
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+ 31 507 -1 1283 0 ALIVE
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+ 33 762 -1 1028 0 ALIVE
20260517_165922/trial_002/nxon2_117492643__MembraneDiag.txt ADDED
@@ -0,0 +1,311 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Neuraxon Game of Life v4.92 — Membrane diagnostics
2
+ # game_id=nxon2_117492643
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+ # rows=306
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+ # 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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+ tick nxer_id neuron_id layer mp adapt autoreceptor trinary_state firing_rate_avg state_streak energy_level
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20260517_165922/trial_002__arch.json ADDED
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1
+ {
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+ "_meta": {
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+ "source": "NxonArchNAS",
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+ "trial_id": 2,
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+ "sampled_at": "2026-05-17T16:59:23"
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+ },
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+ "biology": {
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+ "metabolic_ramp_per_sec": 13.010591334933011,
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+ "max_atrophy": 4.464804848598631,
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+ "metabolic_rate_abs_cap_multiple": 24.862702189596735,
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+ "idle_explore_seconds": 1.990289870703219,
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+ "explore_probability": 0.23356276852957036,
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+ "mate_cooldown_seconds": 19,
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+ "circadian_cycle_ticks": 332
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+ },
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+ "neural": {
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+ "num_hidden_neurons_default": 16,
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+ "connection_probability": 0.2703494361066987,
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+ "afferent_synapse_strength": 0.6794263262538567,
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+ "firing_threshold_excitatory": 0.6739408372556634,
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+ "spontaneous_firing_rate": 0.024094772943053604,
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+ "intrinsic_timescale_default": 23.794113955817473,
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+ "resting_potential_decay": 0.15315663601353516,
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+ "sensorimotor_coupling": 1.4976937784768318,
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+ "symmetric_stdp": true,
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+ "refractory_period_ticks": 2,
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+ "post_spike_mp_reset": 0.26488016649805246,
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+ "sphere_topology": "chc6",
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+ "cross_sphere_coupling": 1.0859893311408328,
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+ "cryst_capacity": 2.494651555978322,
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+ "free_energy_beta": 0.535163966314455
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+ },
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+ "operating_ranges": {
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+ "learning_rate": 0.004423850642103479,
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+ "plasticity_threshold": 0.5245472536652602,
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+ "autoreceptor_coefficient": 0.10254832170458705,
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+ "adaptation_tau_ticks": 33.38343960894162,
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+ "fitness_g_weight": 0.493515834889631
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+ },
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+ "healthy_bands": {},
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+ "genetic_lottery": {
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+ "intrinsic_timescale_jitter": 1.2227305547860885,
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+ "firing_threshold_jitter": 0.02399730025836754,
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+ "mutation_strength": 0.10846255775452253,
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+ "metabolic_rate_multiplier_range": [
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+ 0.8645237551368081,
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+ 1.5236066003166662
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+ ]
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+ }
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+ }
20260517_165922/trial_003/nxon2_729357211__BestFitness.json ADDED
The diff for this file is too large to render. See raw diff
 
20260517_165922/trial_003/nxon2_729357211__BestFoodFound.json ADDED
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20260517_165922/trial_003/nxon2_729357211__BestFoodTaken.json ADDED
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20260517_165922/trial_003/nxon2_729357211__BestMates.json ADDED
The diff for this file is too large to render. See raw diff
 
20260517_165922/trial_003/nxon2_729357211__BestTimeLived.json ADDED
The diff for this file is too large to render. See raw diff
 
20260517_165922/trial_003/nxon2_729357211__BestWorldExplorer.json ADDED
The diff for this file is too large to render. See raw diff
 
20260517_165922/trial_003/nxon2_729357211__KeyMetrics.txt ADDED
The diff for this file is too large to render. See raw diff
 
20260517_165922/trial_003/nxon2_729357211__LifespanLog.txt ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Neuraxon Game of Life v4.92 — Per-NxEr lifespan log
2
+ # game_id=nxon2_729357211
3
+ # deaths=1 survivors_listed=39
4
+ # founders_at_start=30
5
+ # founders_still_alive_at_export=29
6
+ # format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
7
+ nxer_id birth_tick death_tick age_ticks was_original status
8
+ 2 1 6096 6095 1 DIED
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+ 0 1 -1 6098 1 ALIVE
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+ 1 1 -1 6098 1 ALIVE
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+ 3 1 -1 6098 1 ALIVE
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+ 4 1 -1 6098 1 ALIVE
13
+ 5 1 -1 6098 1 ALIVE
14
+ 6 1 -1 6098 1 ALIVE
15
+ 7 1 -1 6098 1 ALIVE
16
+ 8 1 -1 6098 1 ALIVE
17
+ 9 1 -1 6098 1 ALIVE
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+ 10 1 -1 6098 1 ALIVE
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+ 11 1 -1 6098 1 ALIVE
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+ 12 1 -1 6098 1 ALIVE
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+ 13 1 -1 6098 1 ALIVE
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+ 14 1 -1 6098 1 ALIVE
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+ 15 1 -1 6098 1 ALIVE
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+ 16 1 -1 6098 1 ALIVE
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+ 17 1 -1 6098 1 ALIVE
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+ 18 1 -1 6098 1 ALIVE
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+ 19 1 -1 6098 1 ALIVE
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+ 20 1 -1 6098 1 ALIVE
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+ 21 1 -1 6098 1 ALIVE
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+ 22 1 -1 6098 1 ALIVE
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+ 23 1 -1 6098 1 ALIVE
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+ 24 1 -1 6098 1 ALIVE
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+ 25 1 -1 6098 1 ALIVE
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+ 26 1 -1 6098 1 ALIVE
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+ 27 1 -1 6098 1 ALIVE
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+ 28 1 -1 6098 1 ALIVE
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+ 29 1 -1 6098 1 ALIVE
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+ 30 1375 -1 4724 0 ALIVE
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+ 31 2514 -1 3585 0 ALIVE
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+ 32 2966 -1 3133 0 ALIVE
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+ 33 3480 -1 2619 0 ALIVE
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+ 34 3504 -1 2595 0 ALIVE
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+ 35 3827 -1 2272 0 ALIVE
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+ 36 4863 -1 1236 0 ALIVE
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+ 37 5192 -1 907 0 ALIVE
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+ 38 5321 -1 778 0 ALIVE
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+ 39 5730 -1 369 0 ALIVE
20260517_165922/trial_003/nxon2_729357211__MembraneDiag.txt ADDED
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1
+ # Neuraxon Game of Life v4.92 — Membrane diagnostics
2
+ # game_id=nxon2_729357211
3
+ # rows=1080
4
+ # 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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+ tick nxer_id neuron_id layer mp adapt autoreceptor trinary_state firing_rate_avg state_streak energy_level
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