Neuromorphic Isomorphism: A Silicon Dendrite Framework for Simulating Neurological Pathology and Neurodegenerative Decay

Current computational neurology relies on software simulations running on Von Neumann architectures, which lack the physical fidelity to model the spatiotemporal dynamics of neurodegeneration. Building upon the "Silicon Dendrite Unit" (SDU) architecture, we propose a novel framework of Neuromorphic Isomorphism. By mapping the cable theory of biological dendrites directly onto analog CMOS-memristive circuits, we derive a hardware-level transfer function for modeling neurotransmitter kinetics. We specifically demonstrate how the tunable resistance drift of memristors can simulate the dopaminergic decay characteristic of Parkinson’s disease. Our results indicate that this "Pal-Dendrite" architecture can model pathological states with