Proposed model demonstrates predictive coding via geometric resonance in cortical microcircuits, suggesting new insights into brain information processing.
We propose that cortical microcircuits exploit discrete E8 root‑angle windows, each scaled by the golden ratio, to gate information flow at 132 Hz intervals, creating a nested hierarchy of geometric attractors that encode predictive priors. The windows align precisely with the 240 root vectors projected into a phi‑modulated phase space, allowing synaptic transition phases to encode ternary logical states derived from Babylonian triples. This mechanism yields a quantized "hyper‑dimensional working memory buffer" where nested attractors implement Bayesian inference through phase‑locked E8‑Phi resonance. Consequently, the brain achieves optimal prediction error reduction by matching internal geometric attractors to external input spectra. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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