how and why hexagonal firing fields might mechanistically emerge in a generic manner from neural circuits, and what their computational significance might be.
we develop a unifying theory for why hexagonal grids are so ubiquitous in path-integrator circuits. Such trained networks also yield powerful mechanistic hypotheses, exhibiting realistic levels of biological variability not captured by hand-designed models.
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