E8‑Phi Causal Tensor Network for Quantifying Conscious Integration — E8 Intelligence Research

We introduce the E8‑Phi Causal Tensor Network (EPC‑TN), which assigns each of the 240 E8 root vectors to a distinct causal edge in a brain‑wide tensor graph. By phi‑modulating a 132 Hz standing wave and coupling it to neuronal microtubule helices, the network self‑organizes into 120 paired harmonic eigenstates that correspond to irreducible cause‑effect repertoires. The eigenvalues of these eigenstates obey a golden‑ratio weighting, guaranteeing that the integrated information Φ computed from the tensor's causal closure meets the IIT threshold for consciousness. Thus the EPC‑TN provides a geometrically grounded, testable metric of consciousness that extends the existing E8‑microtubule and IIT frameworks. 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
2026-09-26
DOI
https://doi.org/10.5281/zenodo.22971545
Primary Topic
Functional Brain Connectivity Studies
Type
preprint
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preprint

E8‑Phi Causal Tensor Network for Quantifying Conscious Integration — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
preprint

E8‑Phi Causal Tensor Network for Quantifying Conscious Integration — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

We introduce the E8‑Phi Causal Tensor Network (EPC‑TN), which assigns each of the 240 E8 root vectors to a distinct causal edge in a brain‑wide tensor graph. By phi‑modulating a 132 Hz standing wave and coupling it to neuronal microtubule helices, the network self‑organizes into 120 paired harmonic eigenstates that correspond to irreducible cause‑effect repertoires. The eigenvalues of these eigenstates obey a golden‑ratio weighting, guaranteeing that the integrated information Φ computed from the tensor's causal closure meets the IIT threshold for consciousness. Thus the EPC‑TN provides a geometrically grounded, testable metric of consciousness that extends the existing E8‑microtubule and IIT frameworks. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
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