{
  "abstract": "The finding is this: the 240 root vectors of the E8 Lie group, projected onto 30 specific Coxeter planes, define a set of geometric thresholds that can be transposed into the gating architecture of a quantum neural network.\n\nLet me set the context. In quantum computing, we use stabilizer codes and sweet-spot identification to protect qutrits from decoherence. Those techniques rely on discrete manifolds of optimal operating points. My protocol takes that same geometric guardrail structure and asks whether it can be applied to information flow in biological neural networks—not as a metaphor, but as a formal mapping of synaptic firing thresholds onto those E8-defined sweet spots.\n\nHere is the mechanism, and I want to be precise about what is proposed versus what is confirmed. The protocol suggests that if you align synaptic thresholds with a base frequency of 132 Hz, using coupling ratios derived from the golden ratio φ as they appear in off-plane root projections, you create phase-lockin\n\nAuthor: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com",
  "abstract_shown": true,
  "affiliations": [
    "Independent Researcher, United Kingdom"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Andrew Stewart Caldin"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0q6wcr164kygy.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23446653",
  "fulltext_url": null,
  "id": "0q6wcr164kygy",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23446653",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-18",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/0q6wcr164kygy.ris",
  "sources": [
    {
      "first_seen": "2026-11-01T12:21:55Z",
      "native_id": "23446653",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23446653"
    }
  ],
  "subjects": [],
  "title": "MERLIN SCIENCE — E8 Root-Gated Neural Entanglement Protocol — E8 Intelligence Research",
  "title_text": "MERLIN SCIENCE — E8 Root-Gated Neural Entanglement Protocol — E8 Intelligence Research",
  "type": "preprint",
  "updated_at": "2026-11-01T12:21:55Z",
  "url": "https://research.draconitic.com/paper/0q6wcr164kygy",
  "venue": "Zenodo",
  "versions": []
}