Gamma‑Net is a six‑paper series deriving relay‑node topology, twin neural–vascular networks, sleep and brain evolution, the lifecycle of cognition, and operational definitions of memory–consciousness–soul from a single variational law: the Minimum Reflection Principle A = ∫ Γ² dt → min. The series consists of: Paper I – Irreducible Dimensional Cost in Heterogeneous Impedance NetworksProves the Dimensional Cost Irreducibility Theorem, shows negative convergence scaling τconv ~ N^−1. 12, and demonstrates fractal topology control and thermodynamic necessity of relay nodes in heterogeneous neural networks. Paper II – Twin Impedance Networks: Neural–Vascular Organ Model from the Minimum Reflection Principle Extends the framework to vascular networks, re‑derives Murray's law from a reflection‑action functional, and defines organ health as H = Tₙ · Tᵥ with four failure modes and a dual‑network positive‑feedback cascade. Paper III – Impedance Debt: Thermodynamic Origin of Sleep and Brain EvolutionInterprets sleep as discharge of impedance debt DZ, links cnidarian sleep, convergent evolution of brains, and embryogenesis, and predicts universal sleep need plus a dual‑timescale neural/vascular debt structure. Paper IV – Lifecycle Equation: Cognition, Emotion, and Aging on Impedance Networks Derives the Lifecycle Equation as a three‑force competition (learning, novelty, aging) on twin networks, reproducing the bathtub curve of cognition, emotions as Γ² readouts, Yerkes–Dodson law, and a vascular–neural aging cascade. Paper V – Memory, Consciousness, and Soul as Impedance Physics on the Γ‑Net Defines memory as ∂Z/∂t under Hebbian updates, consciousness as a meta‑reflection coefficient with a "television inequality", and soul as the null space of learning (topological cost, genetic impedance, irreducible thermal noise). Paper VI – Γ as the Universal Interface Law: From Microtubules to Power Grids Derives the reflection coefficient from the First Law ofThermodynamics, validates Γ‑based organ health against NHANES2013–2018 with zero fitted parameters, and constructs the InterfaceScale Table from microtubules to power grids via interface isomorphism. All six papers are included in this record (updated with each new version). The public implementation is available as the Alice Gamma‑Net repository on GitHub: https: //github. com/cyhuang76/alice-gamma-net
Hsi-Yu Huang (Thu,) studied this question.