This monograph presents the Resonance Model of Consciousness (RMC), a framework proposing that consciousness is a fundamental field of reality received by biological systems through resonance coupling rather than generated by them. The framework rests on a substrate/projection architecture motivated by the holographic principle, the AdS/CFT correspondence, and the ER=EPR identity from mainstream theoretical physics. Its central empirical contribution is a receiver model in which neural complexit…
Read moreThis monograph presents the Resonance Model of Consciousness (RMC), a framework proposing that consciousness is a fundamental field of reality received by biological systems through resonance coupling rather than generated by them. The framework rests on a substrate/projection architecture motivated by the holographic principle, the AdS/CFT correspondence, and the ER=EPR identity from mainstream theoretical physics. Its central empirical contribution is a receiver model in which neural complexity determines coupling depth -- the robustness and stability of a system's connection to the consciousness field -- rather than coupling breadth. Preliminary cross-species analysis of anesthetic sensitivity finds support for this model: the relationship between neural complexity and anesthetic dose, after controlling for body mass, is consistent with the receiver prediction and not fully explained by pharmacokinetic factors alone.
The monograph develops three additional contributions. First, it reframes three core nonlocality problems (quantum entanglement, wavefunction collapse, and the hard problem of consciousness) as instances of substrate-level unity manifesting as projection-level nonlocality, and examines the binding problem as a candidate fourth case where the structural analogy is available but preliminary evidence does not support the strongest empirical prediction. Second, it proposes a consciousness-information conjecture -- that consciousness and information are two descriptions of a single fundamental structure -- and applies it to unitarity, the black hole information paradox, and the Bekenstein bound. Third, it applies the framework to testbed problems in aesthetics, philosophy of AI, and medicine. Nine empirical predictions with explicit disconfirmation criteria are derived, organized into framework-level predictions (testable regardless of coupling mechanism) and quantum-specific predictions (testing a stronger version of the theory). Preliminary testing of four predictions against existing data produced one supported result (P2, anesthetic scaling replicated across agents), one adverse result with a viable reformulation (P1, binding precision), one prediction that failed as originally stated but whose reformulation finds support (P5, discrimination depth), and one supported differentiating result (P9, information-theoretic outperformance across 13 of 15 comparisons with p = 0.004). The first three are non-differentiating predictions; P9 is the first differentiating prediction to receive testing. The remaining differentiating prediction (P7, non-classical CFC structure) has had its classical ceiling defined (Appendix C.6) and existing published data falls at the edge of what classical mechanisms can explain (Appendix C.7), though the formal test has not been conducted. The framework is presented as philosophy of physics -- conceptual architecture evaluated by structural coherence, consistency with established physics, and capacity to generate distinguishable predictions -- with an honest accounting of its current empirical standing.