In the 1970s, O’Keefe and Dostrovsky discovered that certain neurons,
called place cells, in an animal’s brain are tied to its location
within its arena. A combinatorial neural code is a collection of
-vectors
which encode the patterns of cofiring activity among the place cells. Gross, Obatake,
and Youngs have recently used techniques from toric algebra to study when a
neural code is 0-, 1-, or 2-inductively pierced: a property that allows one
to reconstruct a Venn diagram-like planar figure that acts as a geometric
schematic for the neural cofiring patterns. This article continues their work by
closely focusing on an assortment of classes of combinatorial neural codes. In
particular, we identify universal Gröbner bases of the toric ideals for these
codes.