Answers are grounded in this paper and cite their sources.
Demonstrates structural recovery through persistent attractor topology, highlighting new implications for various systems.
This paper introduces the ΔΦ Regeneration Law, demonstrating that structural recovery arises from persistent attractor topology rather than stored templates. Building on prior work in ΔΦ-driven emergence, formation, and stability, the study shows that disruptions create local gradient imbalances that drive directed flux, restoring original structure. Simulations confirm that aligned systems regenerate after perturbation, while random systems fail to recover. The results provide a physical basis for regeneration, healing, and error correction across biological, computational, and physical systems.
No takes yet. Share an insight, caveat, or question.
Thomas S. Mitchell (2026) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: