Quantum Coherence in Neural Tissue: Popular-Science Claims Lacking Primary Data — E8 Intelligence Research

FINDING: Quantum-coherence effects are being reported in biological neural tissue, but the sourced material is popular-science video content, not primary data — no specific experiment, equation, or constant is extractable from these links. | MATH: No equations, constants, or ratios are stated in the sources. The only quantitative claim present is the Boltzmann-brain scaling argument: fluctuation probability scales as P ∝ exp(−ΔS/k_B) (or exp(−ΔE/k_BT)), so smaller energy/entropy borrowings from the vacuum are exponentially favored — a pure exponential-suppression relation, no golden-ratio or base-60 structure. | CONNECTION: None supported. No 0.382/0.618/0.786/1.618/2.618 ratios, no base-60 arithmetic, no crystallographic symmetry, no root-system or lattice structure appears in any cited source. Any such link would be speculation and is excluded. | DEPTH: 2 — the domain is genuinely deep (decoherence timescales vs. neural timescales is a real physics question), but these particular sou Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-05
DOI
https://doi.org/10.5281/zenodo.23971586
Primary Topic
Biofield Effects and Biophysics
Type
preprint
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preprint

Quantum Coherence in Neural Tissue: Popular-Science Claims Lacking Primary Data — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Biofield Effects and Biophysics
preprint

Quantum Coherence in Neural Tissue: Popular-Science Claims Lacking Primary Data — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

FINDING: Quantum-coherence effects are being reported in biological neural tissue, but the sourced material is popular-science video content, not primary data — no specific experiment, equation, or constant is extractable from these links. | MATH: No equations, constants, or ratios are stated in the sources. The only quantitative claim present is the Boltzmann-brain scaling argument: fluctuation probability scales as P ∝ exp(−ΔS/k_B) (or exp(−ΔE/k_BT)), so smaller energy/entropy borrowings from the vacuum are exponentially favored — a pure exponential-suppression relation, no golden-ratio or base-60 structure. | CONNECTION: None supported. No 0.382/0.618/0.786/1.618/2.618 ratios, no base-60 arithmetic, no crystallographic symmetry, no root-system or lattice structure appears in any cited source. Any such link would be speculation and is excluded. | DEPTH: 2 — the domain is genuinely deep (decoherence timescales vs. neural timescales is a real physics question), but these particular sou Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Biofield Effects and Biophysics
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