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  1. .gitattributes +110 -0
  2. 20260528_084331/nas_best.json +154 -0
  3. 20260528_084331/nas_log.csv +0 -0
  4. 20260528_084331/nas_top1.json +154 -0
  5. 20260528_084331/nas_top2.json +154 -0
  6. 20260528_084331/nas_top3.json +154 -0
  7. 20260528_084331/trial_000/2814893252_nxon2_430391171_1_Completed_2026-05-28T12-15-53Z.json +3 -0
  8. 20260528_084331/trial_000/nxon2_430391171__BestFitness.json +0 -0
  9. 20260528_084331/trial_000/nxon2_430391171__BestFoodFound.json +0 -0
  10. 20260528_084331/trial_000/nxon2_430391171__BestFoodTaken.json +0 -0
  11. 20260528_084331/trial_000/nxon2_430391171__BestMates.json +0 -0
  12. 20260528_084331/trial_000/nxon2_430391171__BestTimeLived.json +0 -0
  13. 20260528_084331/trial_000/nxon2_430391171__BestWorldExplorer.json +0 -0
  14. 20260528_084331/trial_000/nxon2_430391171__KeyMetrics.txt +3 -0
  15. 20260528_084331/trial_000/nxon2_430391171__LifespanLog.txt +56 -0
  16. 20260528_084331/trial_000/nxon2_430391171__MembraneDiag.txt +0 -0
  17. 20260528_084331/trial_000__arch.json +51 -0
  18. 20260528_084331/trial_001/nxon2_024722855__BestFitness.json +0 -0
  19. 20260528_084331/trial_001/nxon2_024722855__BestFoodFound.json +0 -0
  20. 20260528_084331/trial_001/nxon2_024722855__BestFoodTaken.json +0 -0
  21. 20260528_084331/trial_001/nxon2_024722855__BestMates.json +0 -0
  22. 20260528_084331/trial_001/nxon2_024722855__BestTimeLived.json +0 -0
  23. 20260528_084331/trial_001/nxon2_024722855__BestWorldExplorer.json +0 -0
  24. 20260528_084331/trial_001/nxon2_024722855__KeyMetrics.txt +0 -0
  25. 20260528_084331/trial_001/nxon2_024722855__LifespanLog.txt +60 -0
  26. 20260528_084331/trial_001/nxon2_024722855__MembraneDiag.txt +0 -0
  27. 20260528_084331/trial_001__arch.json +51 -0
  28. 20260528_084331/trial_002/8051876568_nxon2_117492643_1_Completed_2026-05-28T12-50-31Z.json +3 -0
  29. 20260528_084331/trial_002/nxon2_117492643__BestFitness.json +0 -0
  30. 20260528_084331/trial_002/nxon2_117492643__BestFoodFound.json +0 -0
  31. 20260528_084331/trial_002/nxon2_117492643__BestFoodTaken.json +0 -0
  32. 20260528_084331/trial_002/nxon2_117492643__BestMates.json +0 -0
  33. 20260528_084331/trial_002/nxon2_117492643__BestTimeLived.json +0 -0
  34. 20260528_084331/trial_002/nxon2_117492643__BestWorldExplorer.json +0 -0
  35. 20260528_084331/trial_002/nxon2_117492643__KeyMetrics.txt +3 -0
  36. 20260528_084331/trial_002/nxon2_117492643__LifespanLog.txt +44 -0
  37. 20260528_084331/trial_002/nxon2_117492643__MembraneDiag.txt +0 -0
  38. 20260528_084331/trial_002__arch.json +51 -0
  39. 20260528_084331/trial_003/nxon2_729357211__BestFitness.json +0 -0
  40. 20260528_084331/trial_003/nxon2_729357211__BestFoodFound.json +0 -0
  41. 20260528_084331/trial_003/nxon2_729357211__BestFoodTaken.json +0 -0
  42. 20260528_084331/trial_003/nxon2_729357211__BestMates.json +0 -0
  43. 20260528_084331/trial_003/nxon2_729357211__BestTimeLived.json +0 -0
  44. 20260528_084331/trial_003/nxon2_729357211__BestWorldExplorer.json +0 -0
  45. 20260528_084331/trial_003/nxon2_729357211__KeyMetrics.txt +0 -0
  46. 20260528_084331/trial_003/nxon2_729357211__LifespanLog.txt +63 -0
  47. 20260528_084331/trial_003/nxon2_729357211__MembraneDiag.txt +0 -0
  48. 20260528_084331/trial_003__arch.json +51 -0
  49. 20260528_084331/trial_004/nxon2_005929900__BestFitness.json +0 -0
  50. 20260528_084331/trial_004/nxon2_005929900__BestFoodFound.json +0 -0
.gitattributes CHANGED
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+ 20260528_084331/trial_136/0403707843_nxon2_813947407_1_Completed_2026-05-29T11-50-52Z.json filter=lfs diff=lfs merge=lfs -text
705
+ 20260528_084331/trial_136/nxon2_813947407__KeyMetrics.txt filter=lfs diff=lfs merge=lfs -text
20260528_084331/nas_best.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_meta": {
3
+ "name": "nas_best_t130",
4
+ "version": "NxonArchNAS v0.9 (v190)",
5
+ "description": "Architecture found by NAS \u2014 trial 130, fitness 6.0399. 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": 130,
9
+ "fitness": 6.0399284877266455,
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+ "saved_at": "2026-05-29T16:19:50",
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": 11.606585837069506,
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": 3.1342433784087538,
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": 59.15990627876291,
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": 6,
30
+ "circadian_cycle_ticks": 977,
31
+ "idle_explore_seconds": 2.021797761994243,
32
+ "explore_probability": 0.4083222591850694,
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": 17,
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).",
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+ "connection_probability": 0.17068702095589217,
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+ "afferent_synapse_strength": 1.3770519048681662,
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+ "proprioceptive_afferent_gain": 1.8,
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+ "sensory_input_gain": 0.9,
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+ "firing_threshold_excitatory": 0.40379564504975596,
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+ "firing_threshold_inhibitory": -0.5739823777474518,
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+ "spontaneous_firing_rate": 0.01946398103880323,
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+ "intrinsic_timescale_default": 17.537514829168664,
49
+ "resting_potential_decay": 0.19054700962376797,
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+ "sensorimotor_coupling": 2.6747250444153092,
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+ "_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": 5,
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": 0.07649557454692996,
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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",
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+ "cross_sphere_coupling": 1.3946213149035236,
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+ "cryst_capacity": 2.151469196841511,
62
+ "free_energy_beta": 1.307206852408293
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+ },
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+ "operating_ranges": {
65
+ "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
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+ "learning_rate": 0.0020000000000000005,
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+ "plasticity_threshold": 0.5086986987753919,
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+ "adaptation_tau_ticks": 34.63649416214204,
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+ "adaptation_target_excitatory_multiplier": 1.5,
70
+ "adaptation_target_inhibitory_multiplier": 1.0,
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+ "_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": 0.1800914828033483,
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+ "autoreceptor_tau_ticks": 150.0,
74
+ "autoreceptor_rate_coeff": 0.35,
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+ "_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,
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+ "_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": 1.5
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+ },
85
+ "genetic_lottery": {
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+ "_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.",
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+ "metabolic_rate_multiplier_range": [
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+ 0.7128066040433914,
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+ 1.18502234300153
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": 7.476975028912001,
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+ "_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": 0.04183923737887053,
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+ "_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": 0.05328002511353665,
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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": {
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+ "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
101
+ "M1_excitatory_fraction": [
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+ 0.18,
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+ 0.28
104
+ ],
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+ "M2_mean_gate": [
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+ 0.4,
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+ 0.85
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+ ],
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+ "M3_pac_modulation_idx": [
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+ 0.005,
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+ 0.1
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+ ],
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+ "M5_branching_ratio": [
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+ 0.92,
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+ 1.1
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+ ],
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+ "M6_spontaneous_fraction": [
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+ 0.1,
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+ 0.45
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+ ],
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+ "M7_zero_input_mi_ratio": [
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+ 0.4,
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+ 1.2
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+ ],
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+ "M9_transfer_ratio": [
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+ 0.85,
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+ 1.3
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+ ],
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+ "M10_heritability_r": [
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+ 0.2,
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+ 1.0
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+ ],
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+ "sensory_motor_corr": [
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+ 0.2,
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+ 1.0
136
+ ],
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+ "pop_mean_idle_seconds": [
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+ 0.0,
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+ 1.5
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+ ],
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+ "input_saturation_fraction": [
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+ 0.0,
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+ 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": [
150
+ 0.01,
151
+ 0.4
152
+ ]
153
+ }
154
+ }
20260528_084331/nas_log.csv ADDED
The diff for this file is too large to render. See raw diff
 
20260528_084331/nas_top1.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_meta": {
3
+ "name": "nas_best_t130",
4
+ "version": "NxonArchNAS v0.9 (v190)",
5
+ "description": "Architecture found by NAS \u2014 trial 130, fitness 6.0399. 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": 130,
9
+ "fitness": 6.0399284877266455,
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+ "saved_at": "2026-05-29T16:44:09",
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": 11.606585837069506,
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": 3.1342433784087538,
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": 59.15990627876291,
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": 6,
30
+ "circadian_cycle_ticks": 977,
31
+ "idle_explore_seconds": 2.021797761994243,
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+ "explore_probability": 0.4083222591850694,
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+ "_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": 17,
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).",
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+ "connection_probability": 0.17068702095589217,
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+ "afferent_synapse_strength": 1.3770519048681662,
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+ "proprioceptive_afferent_gain": 1.8,
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+ "sensory_input_gain": 0.9,
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+ "firing_threshold_excitatory": 0.40379564504975596,
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+ "firing_threshold_inhibitory": -0.5739823777474518,
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+ "spontaneous_firing_rate": 0.01946398103880323,
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+ "intrinsic_timescale_default": 17.537514829168664,
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+ "resting_potential_decay": 0.19054700962376797,
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+ "sensorimotor_coupling": 2.6747250444153092,
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+ "_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": 5,
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": 0.07649557454692996,
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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",
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+ "cross_sphere_coupling": 1.3946213149035236,
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+ "cryst_capacity": 2.151469196841511,
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+ "free_energy_beta": 1.307206852408293
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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.",
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+ "learning_rate": 0.0020000000000000005,
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+ "plasticity_threshold": 0.5086986987753919,
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+ "adaptation_tau_ticks": 34.63649416214204,
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+ "adaptation_target_excitatory_multiplier": 1.5,
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+ "adaptation_target_inhibitory_multiplier": 1.0,
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+ "_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": 0.1800914828033483,
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+ "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,
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+ "plasticity_brake_floor": 0.1,
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+ "_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": 1.5
84
+ },
85
+ "genetic_lottery": {
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+ "_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.",
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+ "metabolic_rate_multiplier_range": [
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+ 0.7128066040433914,
89
+ 1.18502234300153
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": 7.476975028912001,
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": 0.04183923737887053,
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": 0.05328002511353665,
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": [
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+ 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,
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+ 0.1
112
+ ],
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+ "M5_branching_ratio": [
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+ 0.92,
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+ 1.1
116
+ ],
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+ "M6_spontaneous_fraction": [
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+ 0.1,
119
+ 0.45
120
+ ],
121
+ "M7_zero_input_mi_ratio": [
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+ 0.4,
123
+ 1.2
124
+ ],
125
+ "M9_transfer_ratio": [
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+ 0.85,
127
+ 1.3
128
+ ],
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+ "M10_heritability_r": [
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+ 0.2,
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+ 1.0
132
+ ],
133
+ "sensory_motor_corr": [
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+ 0.2,
135
+ 1.0
136
+ ],
137
+ "pop_mean_idle_seconds": [
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+ 0.0,
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+ 1.5
140
+ ],
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+ "input_saturation_fraction": [
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+ 0.0,
143
+ 0.3
144
+ ],
145
+ "input_locked_fraction": [
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+ 0.0,
147
+ 0.2
148
+ ],
149
+ "exploration_trigger_rate": [
150
+ 0.01,
151
+ 0.4
152
+ ]
153
+ }
154
+ }
20260528_084331/nas_top2.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "Sections inherited from default.json: healthy_bands (unchanged target ranges)",
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+ "Sections overridden by NAS: biology, neural, operating_ranges, genetic_lottery",
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+ "Load with NEURAXON_ARCH=path/to/this.json python main.py"
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+ ]
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+ "_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.",
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+ "_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).",
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+ "_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.",
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+ "_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.",
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+ "_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.",
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+ "fitness_g_weight": 1.5
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+ },
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+ "_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.",
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+ "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
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+ "description": "Architecture found by NAS \u2014 trial 114, fitness 5.8293. 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",
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+ "notes": [
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+ "Sections inherited from default.json: healthy_bands (unchanged target ranges)",
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+ "Sections overridden by NAS: biology, neural, operating_ranges, genetic_lottery",
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+ "Load with NEURAXON_ARCH=path/to/this.json python main.py"
15
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20260528_084331/trial_003__arch.json ADDED
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20260528_084331/trial_004/nxon2_005929900__BestFitness.json ADDED
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20260528_084331/trial_004/nxon2_005929900__BestFoodFound.json ADDED
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