Neural codes via homological invariants of polarized neural ideals
Selvi Kara, Ellie Lew

TL;DR
This paper explores the homological invariants of polarized neural ideals derived from neural codes, linking algebraic properties to the topology of associated simplicial complexes and the geometry of the Hamming cube.
Contribution
It establishes bounds and characterizes extremal cases for the projective dimension and regularity of polarized neural ideals using topological and geometric insights.
Findings
Maximum regularity is 2n-1, achieved by codes missing an antipodal pair.
Projective dimension is at most 2n-3, with explicit codes attaining this bound.
Coordinate subcubes and complements are characterized by minimal invariants.
Abstract
For a neural code , polarizing the canonical form generators of the neural ideal yields a squarefree monomial ideal , the polarized neural ideal, and an associated simplicial complex , the polar complex. We study the graded invariants and via the topology of , showing that simple geometric features of the Hamming cube (with Hamming distance) organize their extremal behavior. We prove , with equality precisely when is obtained from by deleting an antipodal pair. Using connectedness properties of induced subcomplexes of…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Commutative Algebra and Its Applications · Polynomial and algebraic computation
