Abstract This study presents a unified theoretical framework explaining empirical anomalies observed in biological and physical systems, particularly the non-thermal neuromotor effects of electromagnetic fields. We propose the Morphic Driver Theorem, which states that perceived reality by a conscious agent is a holographic projection emerging from a fractal informational substrate, modulated by "dominant drivers". This work establishes the rigorous mathematical foundations of this theory, demonstrates its coherence with known physical principles, and proposes falsifiable experimental protocols for validation. The implications extend from the understanding of consciousness to fundamental physics. 1. Introduction and Context 1.1 Fundamental Problem Modern physics faces a persistent set of empirical observations that resist conventional explanations. These anomalies are not merely measurement artifacts or experimental errors: they present an internal coherence suggesting an underlying structure not yet formalized. Definition 1.1: Recurrent Empirical Anomaly (REA) A REA is an experimental observation that: Is reproducible under controlled conditions Is not satisfactorily explained by established physical models Presents a coherent mathematical structure between observations 1.2 State of the Art Existing approaches can be classified into three categories: Approach Principle Limitation Reductionist Explains by subsystems Fails for emergent properties Systemic Explains by interactions Lacks mathematical formalism Informational Explains by data flow No link to physical substrate 1.3 Main Thesis Theorem 1.1: Morphic Driver Theorem (MDT)(...) 8. Conclusion This study presented the Morphic Driver Theorem as a unified framework for understanding traditional empirical anomalies. The main contributions are: Mathematical formalism: A rigorous description of the morphic matrix and projection operators Testability: Five falsifiable hypotheses with detailed experimental protocols Simulations: Interactive tools allowing community validation Future work includes extension to quantum systems, integration with computational neuroscience, and development of driver-resonance-based technologies.
G. J. Y. DESVAUX (Sun,) studied this question.