DavidVivancos/MultiNxon2NAS

MultiNxon2 — NAS Runs for the Neuraxon Game of Life

This dataset contains the raw outputs of many Neural Architecture Search (NAS) runs for the Neuraxon Game of Life — an artificial-life simulation where small spiking "brains" (NxErs) live, eat, mate and explore a world. Each NAS run searches over brain hyper-parameters to find the architecture that best survives and behaves, scored by a single fitness value plus a set of biology-inspired metrics (M1–M10).

The runs were collected over several days and span Neuraxon internal versions v166 → v195. Each version tweaks the search space or the fitness/selection logic, so the collection is also a longitudinal record of how the search itself evolved.

Folder layout

One NAS run = one folder named by its start timestamp:

20260512_212222/
20260514_075838/
...
20260531_163524/

Each run folder contains:

File / folder	What it is
nas_log.csv	Main results table — one row per trial (architecture). Start here.
nas_best.json	The single best architecture of the run.
nas_top1.json, nas_top2.json, nas_top3.json	The top-3 architectures.
trial_NNN__arch.json	The full hyper-parameters for trial NNN.
trial_NNN/	Per-trial game outputs (the actual simulation logs for that architecture).

Inside a trial_NNN/ folder (newer runs nest seed repeats as rep0/, rep1/, rep2/; older runs use sibling trial_NNN_s<seed>/ folders):

File	What it is
nxon2_<id>__BestFitness.json	Best-of-run game state for each scoring dimension:
..._BestFoodFound.json, ..._BestFoodTaken.json	…food found / taken,
..._BestMates.json, ..._BestTimeLived.json, ..._BestWorldExplorer.json	…mates, lifespan, exploration.
..._KeyMetrics.txt	Human-readable summary of the run's key metrics.
..._LifespanLog.txt	Per-agent lifespan / population log.
..._MembraneDiag.txt	Membrane / firing diagnostics.
..._Completed_<timestamp>.json	Final completed game record.

nas_log.csv columns (the important ones)

nas_log.csv has ~52 columns. The key ones:

• trial_id — index of the trial within the run.
• fitness — the value being optimised (higher is better).
• arch_summary — the full hyper-parameter string for that architecture (firing thresholds, connection probability, learning rate, topology, etc.).
• is_global_best — 1 for the run's winning architecture.
• M1–M10 — paper-fidelity metrics (e.g. M1 = excitatory firing band, M1_neutral / M1_inh = rest / inhibition fractions, plus synchrony, plasticity and other dynamics measures).
• Survival / behaviour: final_alive, peak_alive, alive_mean, went_extinct, surv_score, expl_rate.
• Reliability: n_repeats, n_repeats_ok, fitness_std_reps, M1_std (later versions re-run the same architecture across seeds to average out noise).
• Bookkeeping: completed_at_iso, wall_actual_s, total_rounds, error.

Quick start

import pandas as pd

# point at any run folder
df = pd.read_csv("20260531_163524/nas_log.csv")

# best architecture in that run
best = df.sort_values("fitness", ascending=False).iloc[0]
print(best["fitness"], best["arch_summary"])

Notes

• All paths in the original logs use \...; that prefix is just the source drive and can be ignored.
• This is raw research output: column sets and folder conventions shift slightly between versions as the search evolved.

License

Released under CC-BY-4.0-SA

Citation

@dataset{NeuraxonGameOFLifeResearhNAS-5-MultiNxon2NAS
  title={Neuraxon Game of Life 5 Research Dataset: NAS Multi Nxon Exploration},
  author={Vivancos, David and Sanchez, Jose},
  year={2026},
  publisher={Hugging Face},
  version={1.0.0},
  url={https://huggingface.co/datasets/DavidVivancos/MultiNxon2NAS}
}

Authors & Curators

• David Vivancos / Artificiology Research (https://artificiology.com) - Qubic Science
• Dr. Jose Sanchez / UNIR - Qubic Science Contact: For questions or issues, please open a GitHub issue at https://github.com/DavidVivancos/Neuraxon.