Scientific Research Papers

Reflections of work completed over several years on signal integration, pressure, and stability across biological and technological systems.

They are shared here as finished research, without public commentary.

 

Research Papers 

The papers collected here present a unified, constraint-based framework for understanding how coherence, intelligence, and meaning emerge in complex systems. Beginning with formally grounded models of neural resonance and synthetic–biological signal translation, the work progressively generalizes toward a non-teleological theory of integration applicable across biology, artificial intelligence, technology, and lived human experience. Rather than treating acceleration, optimization, or agency as fundamental drivers, these papers describe how systems stabilize by resolving pressure through projection, constraint, recursion, and integration. Taken together, they outline a complete lifecycle of coherent systems—from growth and saturation through completion, invariance, and post-integration deployment—offering a rigorous alternative to prevailing escalation-based models of progress.

Foundational Constraints
Interpretability & Thresholds
4G Frameworks
State Construction (Queen’s Throne)
Singularity Reframed (Completion)
Perception & Invariance

 

© Christopher Lorello, 2026. All rights reserved.
These papers are shared for independent reading and scholarly reference.