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Tags:
time-series
artificial-life
neural-networks
evolutionary-algorithms
reinforcement-learning
biology
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README.md
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license: cc-by-4.0
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---
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license: cc-by-sa-4.0
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tags:
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- time-series
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- artificial-life
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- neural-networks
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- evolutionary-algorithms
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- reinforcement-learning
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- biology
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- simulation
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- neuraxon
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- Qubic
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- Aigarth
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pretty_name: Neuraxon Life 2.5 Deep Time Series Passive Binary
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size_categories:
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- 100M<n<1B
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---
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# NeuraxonLife2.5-100K-DeepTimeSeries: Artificial Life Neuraxon Neural Network Simulation Deep Time Series Dataset (Passive Binary Exploration)
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The Dataset is a companion suporting material for the upcoming paper:
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"The Neutral Buffer State: Trinary Logic Advantage in Branching Ratio Stability for Continuous-Time Networks" by David Vivancos & Dr José Sanchez
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## Dataset Description
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The **NeuraxonLife 2.5 Deep Time Series Dataset** is a massive, comprehensive collection of simulation data from the Neuraxon Game of Life environment.
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It tracks the evolution of over **100,000 autonomous agents ("NxErs")** evolving biologically-plausible neural networks under survival pressures.
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This dataset represents a significant expansion over previous versions, featuring "Deep Time Series" exploration with over **279 million plasticity events**
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and high-resolution **per-agent time series** data.
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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/
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**Paper Reference:** [Neuraxon: A New Neural Growth & Computation Blueprint](https://www.researchgate.net/publication/397331336_Neuraxon)
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## Dataset Summary
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This dataset provides granular insights into emergent neural computation in an artificial life setting.
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It covers 2,791 distinct simulation games involving complex neural phenomena.
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## Citation
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```bibtex
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@dataset{NeuraxonLife2.5-TimeSeriesPassiveBinary,
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title={Neuraxon Game of Life 2.5 Research Dataset: Deep Time Series Exploration Passive Binnary Exploration},
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author={Vivancos, David and Sanchez, Jose},
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year={2026},
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publisher={Hugging Face},
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version={2.5.0},
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url={https://huggingface.co/datasets/DavidVivancos/NeuraxonLife2.5PassiveBinary}
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}
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```
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## Authors & Curators
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* **David Vivancos** / Artificiology Research - [Qubic Science](https://qubic.org/)
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* **Dr. Jose Sanchez** / UNIR - [Qubic Science](https://qubic.org/)
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**Contact:** For questions or issues, please open a GitHub issue at [https://github.com/DavidVivancos/Neuraxon](https://github.com/DavidVivancos/Neuraxon).
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