Resonance Complexity Theory and the Architecture of Consciousness: A Field-Theoretic Model of Resonant Interference and Emergent Awareness
Michael Arnold Bruna

TL;DR
Resonance Complexity Theory (RCT) proposes that consciousness emerges from stable interference patterns of neural oscillations, modeled through a neural field simulation demonstrating resonance-based attractors as a basis for awareness.
Contribution
The paper introduces RCT, a novel framework linking neural oscillation interference patterns to consciousness, supported by a minimal neural field simulation.
Findings
Resonance-based attractors can arise from wave interference physics.
The Complexity Index (CI) correlates with conscious system properties.
Simulation shows emergent resonance patterns meeting theoretical thresholds.
Abstract
This paper introduces Resonance Complexity Theory (RCT), which proposes that consciousness emerges from stable interference patterns of oscillatory neural activity. These patterns, shaped by recursive feedback and constructive interference, must exceed critical thresholds in complexity, coherence, gain, and fractal dimensionality to give rise to conscious experience. The resulting spatiotemporal attractors encode subjective awareness as dynamic resonance structures distributed across the neural field, enabling large-scale integration without symbolic representation or centralized control. To formalize this idea, we define the Complexity Index (CI), a composite metric that synthesizes four core properties of conscious systems: fractal dimensionality (D), signal gain (G), spatial coherence (C), and attractor dwell time (tau). These elements are combined multiplicatively to capture the…
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