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
- Andrew Stewart Caldin
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