TITLE:
Consciousness as Resonant Structured Information: A Classical Field Hypothesis with a Phenomenological 64-State Model
AUTHORS:
Nader Butto
KEYWORDS:
Consciousness, Information, Magnetic Field, Electromagnetic Field, Resonance, Coherence, Classical Field Theory, Self-Related Causal Closure, Phenomenological Model, 64-State Architecture
JOURNAL NAME:
Journal of High Energy Physics, Gravitation and Cosmology,
Vol.12 No.4,
September
2,
2026
ABSTRACT: The explanatory gap between neural information processing and subjective experience remains unresolved. This article presents the Field-Encoded Resonant Information Model (FERIM), a constrained and falsifiable hypothesis in which information is physically instantiated in the spatial, spectral, phase, polarity, and temporal organization of electric and magnetic fields. At the biological scale, all core predictions are formulated within classical electrodynamics: endogenous electromagnetic fields generated by charge and current dynamics are treated as measurable carriers of structured information and as possible contributors to recurrent organism-level integration. Quantum field theory is invoked only as the standard microscopic foundation of electromagnetism; the model predicts no specifically quantum informational effect unless a nonclassical observable is independently demonstrated. A bipolar-vortex-inspired six-mode architecture is retained only as a phenomenological latent-state compression. If six effective modes are empirically identified and each is bistable, the resulting classical configuration space contains 26 = 64 states. This number is neither a physical necessity nor evidence for consciousness; the six-mode model must outperform alternative model sizes prospectively. Resonant coupling is represented by a calibrated, normalized index combining spatial overlap, spectral matching, phase locking, and field orientation. Self-related causal closure is operationalized through bidirectional, state-dependent information transfer between field patterns and organismal variables such as memory, valuation, autonomic regulation, report, and action. The framework specifies staged experiments, model-comparison procedures, pilot-derived smallest effects of interest, and explicit rejection criteria. FERIM should therefore be evaluated by predictive performance and causal intervention, not by the ontological provenance of the 64-state architecture.