The Energetic Construction of 3D Space: Deconvoluting Retinal Superposition into Volumetric Voxels

Classical optical neuroscience models human vision as a geometric process, relying on binocular disparity or edge detection to infer depth. This paper proposes a fundamental paradigm shift: 3D spatial mapping is not constructed geometrically, but *energetically*. We demonstrate that the human retina acts as a finite digital sensor measuring photon energy density. Because light from objects at varying Z-axis distances naturally overlaps, a single biological pixel receives a linear superposition of light (e.g., a combined voltage of `1.111x`). We introduce the Voxel Unpacking Algorithm, proving that the visual cortex deconvolutes this single summed voltage into discrete spatial voxels along the line of sight based on energy dilution. Furthermore, we establish that the continuous micro-fluctuations of the ciliary muscle (The Kinematic Sweep) function solely to assign a directional positive or negative (+/-) spatial vector to these energy fractions. We conclude that human 3D vision is a deterministic, volumetric rendering engine that actively inflates 2D energetic sums into a holographic 3D universe.