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metadata 
license: cc-by-sa-4.0
tags:
  - time-series
  - artificial-life
  - neural-networks
  - evolutionary-algorithms
  - reinforcement-learning
  - biology
  - simulation
  - neuraxon
  - Qubic
  - Aigarth
pretty_name: Neuraxon Life 2.5 Deep Time Series Active Binary
size_categories:
  - 100M<n<1B

NeuraxonLife2.5-100K-DeepTimeSeries: Artificial Life Neuraxon Neural Network Simulation Deep Time Series Dataset (Active Binary Exploration)

The Dataset is a companion suporting material for the upcoming paper: "The Neutral Buffer State: Trinary Logic Advantage in Branching Ratio Stability for Continuous-Time Networks" by David Vivancos & Dr José Sanchez

Dataset Description

The NeuraxonLife 2.5 Deep Time Series Dataset is a massive, comprehensive collection of simulation data from the Neuraxon Game of Life environment. It tracks the evolution of over 100,000 autonomous agents ("NxErs") evolving biologically-plausible neural networks under survival pressures.

This dataset represents a significant expansion over previous versions, featuring "Deep Time Series" exploration with over 279 million plasticity events and high-resolution per-agent time series data.

Also validatie the original Neuraxon 1.0 paper: 'A New Neural Growth & Computation Blueprint' by David Vivancos https://www.vivancos.com/ & Dr. Jose Sanchez https://josesanchezgarcia.com/ for Qubic Science. https://qubic.org/

Paper Reference: Neuraxon: A New Neural Growth & Computation Blueprint

Dataset Summary

This dataset provides granular insights into emergent neural computation in an artificial life setting. It covers 2,791 distinct simulation games involving complex neural phenomena.

Citation 

@dataset{NeuraxonLife2.5-TimeSeriesActiveBinary,
  title={Neuraxon Game of Life 2.5 Research Dataset: Deep Time Series Exploration Active Binnary Exploration},
  author={Vivancos, David and Sanchez, Jose},
  year={2026},
  publisher={Hugging Face},
  version={2.5.0},
  url={https://huggingface.co/datasets/DavidVivancos/NeuraxonLife2.5ActiveBinary}
}

Authors & Curators