Nathan M. Thornhill

Institute for Complexity Science and Advanced Computing

Nathan M. Thornhill is an independent researcher working at the intersection of complexity science, information theory, and consciousness studies. His work circles one deceptively simple question: what separates the systems that persist from the ones that dissolve?

His Existence Threshold framework attacks it through measurable information dynamics — integration, differentiation, and the balance between them. The framework has predicted pattern persistence in cellular automata with 100% accuracy and uncovered a consistent ~86% information-retention law at dimensional boundaries, validated across roughly 1,500 patterns and two neural networks…

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