3D Box Perception Visualizer: symbolic base as a perceptual overlay

Same cube, three symbolic perceptual regimes. The visual cortex does not literally “see in base-10,” “base-20,” or “base-60”; this tool models how learned numerical systems might bias measurement, chunking, coordinate labeling, and salience over the same retinal geometry.
Show symbolic lattice
Show salience field
Show coordinate labels
Animate prediction cycle
Retinal / projected edge signal
V1-like orientation / edge salience
Dorsal-style spatial/depth construction
Symbolic numeric scaffold
Research-model assumption: base systems alter the interpretive scaffold, not the raw photoreceptor image. Base-10 emphasizes decimal axes; base-20 emphasizes body-count/chunk groupings; base-60 emphasizes angular, modular, and high-subdivision spatial parsing.
Model logic

The renderer separates a cube into layers: projected geometry, orientation-edge salience, depth reconstruction, and a symbolic lattice. Switching tabs changes lattice density, chunk grouping, angular subdivision, coordinate labels, and salience weights.

This is a hypothesis-generating visual model, not a validated neuroimaging simulation.

Perceptual hypothesis
Symbolic scaffold
Predicted distortion