Attractor Landscapes in Ocular Ecology A SHAI-Based Analysis of Phase Transitions in Macular Degeneration

AbstractAge-Related Macular Degeneration (AMD) is the leading cause of irreversible central visionloss in adults over 60. This paper proposes that AMD is a phase transition within the OcularEcology -- a topological shift from dynamic homeostatic resilience to self-reinforcingpathological stability. The SHAI 6-Agent Architecture governs this ecosystem across sixspecialised monitoring domains. Version 4.1 introduces a mathematically robust reformulationof the peri-critical stability index (Track-2) as a dual construct: Resilience R(t) --fold-consistent early warning signals (autocorrelation and variance inflation) -- andConditional Coupling C(t) -- metabolic-immune coordination beyond shared exogenousdrivers. This dual structure prevents spurious mutual information inflation undercommon-mode dominance, aligns Track-2 with established early-warning signal literature(Scheffer et al., 2009), and preserves the Intervention Probability Window (IPW) frameworkdescribed in v4. The hazard model is updated to include R(t) and C(t) as separatetime-varying covariates. All other sections carry forward from v4 unchanged.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-25
DOI
https://doi.org/10.5281/zenodo.18766414
Primary Topic
Topological and Geometric Data Analysis
Type
article
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article

Attractor Landscapes in Ocular Ecology A SHAI-Based Analysis of Phase Transitions in Macular Degeneration

SHAI / HATI, John Richard Smith
Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
article

Attractor Landscapes in Ocular Ecology A SHAI-Based Analysis of Phase Transitions in Macular Degeneration

SHAI / HATI, John Richard Smith
article en

Abstract

AbstractAge-Related Macular Degeneration (AMD) is the leading cause of irreversible central visionloss in adults over 60. This paper proposes that AMD is a phase transition within the OcularEcology -- a topological shift from dynamic homeostatic resilience to self-reinforcingpathological stability. The SHAI 6-Agent Architecture governs this ecosystem across sixspecialised monitoring domains. Version 4.1 introduces a mathematically robust reformulationof the peri-critical stability index (Track-2) as a dual construct: Resilience R(t) --fold-consistent early warning signals (autocorrelation and variance inflation) -- andConditional Coupling C(t) -- metabolic-immune coordination beyond shared exogenousdrivers. This dual structure prevents spurious mutual information inflation undercommon-mode dominance, aligns Track-2 with established early-warning signal literature(Scheffer et al., 2009), and preserves the Intervention Probability Window (IPW) frameworkdescribed in v4. The hazard model is updated to include R(t) and C(t) as separatetime-varying covariates. All other sections carry forward from v4 unchanged.

Zenodo (CERN European Organization for Nuclear Research)
Symbiom (Czechia) (CZ)
Openalex Percentile: Top 42%
Topological and Geometric Data Analysis
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