Grid Cell Navigator

Spatial code precision, theta framing, and navigation phenotypes

Grid Cell now teaches more than a nice lattice. It compares canonical maps, broad low-resolution fields, noisy exploration, compact-room remapping, and theta-locked precision so students can reason about what actually makes a spatial code useful.

API target: internal Next.js route handlers

Teaching presets

Start from a navigation phenotype

Each preset emphasizes a different spatial story: crisp entorhinal tiling, diffuse low-resolution maps, noisy path integration, or environment-driven rescaling.

Canonical lattice

A balanced entorhinal grid with enough theta modulation and spatial sharpness to display a clean hexagonal teaching pattern.

Use this as the baseline map before discussing navigational fragility, low-resolution fields, or noisy path integration.

This is a simplified navigation scaffold, not a literal recording from a patient or rodent.

Arena path + spikes

Navigation through physical space

Generate Grid Field

Firing rate map

Hexagonal lattice occupancy

Generate Grid Field

Instantaneous firing rate

Theta-modulated rate trace

Generate Grid Field