Open, closed, and non-degenerate embedding dimensions of neural codes

RA Jeffs - Discrete & Computational Geometry, 2024 - Springer
We study the open, closed, and non-degenerate embedding dimensions of neural codes,
which are the smallest respective dimensions in which one can find a realization of a code …

Recognizing and realizing inductively pierced codes

R Curry, RA Jeffs, N Youngs, Z Zhao - arXiv preprint arXiv:2207.06266, 2022 - arxiv.org
We prove algebraic and combinatorial characterizations of the class of inductively pierced
codes, resolving a conjecture of Gross, Obatake, and Youngs. Starting from an algebraic …

Nondegenerate neural codes and obstructions to closed-convexity

P Chan, K Johnston, J Lent, AR De Perez… - SIAM Journal on Discrete …, 2023 - SIAM
Previous work on convexity of neural codes has produced codes that are open-convex but
not closed-convex—or vice-versa. However, why a code is one but not the other, and how to …

Binary convex fuzzy vector spaces over binary vector spaces and their applications

M Manmekto Gereme, J Demamu… - Research in …, 2024 - Taylor & Francis
In this paper, we explore the concept of binary convex fuzzy vector spaces and binary
convex fuzzy linear subspaces over binary vector spaces F 2 n by formalizing their definition …

Realizing convex codes with axis-parallel boxes

M Benitez, S Chen, T Han, RA Jeffs, K Paguyo… - Involve, a Journal of …, 2024 - msp.org
Every ordered collection of sets in Euclidean space can be associated to a combinatorial
code, which records the regions cut out by the sets in space. Given two ordered collections …

Combinatorial geometry of neural codes, neural data analysis, and neural networks

C Lienkaemper - arXiv preprint arXiv:2209.07583, 2022 - arxiv.org
This dissertation explores applications of discrete geometry in mathematical neuroscience.
We begin with convex neural codes, which model the activity of hippocampal place cells and …