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Convex neural codes are subsets of the Boolean lattice that record the intersection patterns of convex sets in Euclidean space. Much work in recent years has focused on finding combinatorial criteria on codes that can be used to classify…

Combinatorics · Mathematics 2020-12-18 R. Amzi Jeffs , Caitlin Lienkaemper , Nora Youngs

Much work has been done to identify which binary codes can be represented by collections of open convex or closed convex sets. While not all binary codes can be realized by such sets, here we prove that every binary code can be realized by…

Combinatorics · Mathematics 2018-04-30 Megan K. Franke , Samuel Muthiah

Neural codes serve as a language for neurons in the brain. Convex codes, which arise from the pattern of intersections of convex sets in Euclidean space, are of particular relevance to neuroscience. Not every code is convex, however, and…

Combinatorics · Mathematics 2017-05-31 Joshua Cruz , Chad Giusti , Vladimir Itskov , Bill Kronholm

We show that every convex code realizable by compact sets in the plane admits a realization consisting of polygons, and analogously every open convex code in the plane can be realized by interiors of polygons. We give factorial-type bounds…

Combinatorics · Mathematics 2022-12-14 Boris Bukh , R. Amzi Jeffs

We introduce combinatorial types of arrangements of convex bodies, extending order types of point sets to arrangements of convex bodies, and study their realization spaces. Our main results witness a trade-off between the combinatorial…

Metric Geometry · Mathematics 2015-06-23 Michael Gene Dobbins , Andreas Holmsen , Alfredo Hubard

Neural codes are lists of subsets of neurons that fire together. Of particular interest are neurons called place cells, which fire when an animal is in specific, usually convex regions in space. A fundamental question, therefore, is to…

Combinatorics · Mathematics 2021-04-05 Brianna Gambacini , R. Amzi Jeffs , Sam Macdonald , Anne Shiu

A combinatorial neural code $\mathscr C\subseteq 2^{[n]}$ is convex if it arises as the intersection pattern of convex open subsets of $\mathbb R^d$. We relate the emerging theory of convex neural codes to the established theory of oriented…

Combinatorics · Mathematics 2026-03-12 Alexander Kunin , Caitlin Lienkaemper , Zvi Rosen

We study a combinatorial notion where given a set of lattice points one takes the set of all sums of subsets of a fixed size, and we ask if the given set comes from a convex lattice polytope whether the resulting set also comes from a…

Combinatorics · Mathematics 2021-08-03 Alexander Lemmens

A closure system with the anti-exchange axiom is called a convex geometry. One geometry is called a sub-geometry of the other if its closed sets form a sublattice in the lattice of closed sets of the other. We prove that convex geometries…

Combinatorics · Mathematics 2014-01-29 Kira Adaricheva

A shape of a combinatorial polytope is a convex embedding into Euclidean space. We provide necessary and sufficient conditions for a piecewise linear map between two shapes of the same polytope to be a compression (respectively a weak…

Metric Geometry · Mathematics 2025-06-24 José Ayala , David Kirszenblat , J. Hyam Rubinstein

Neural codes allow the brain to represent, process, and store information about the world. Combinatorial codes, comprised of binary patterns of neural activity, encode information via the collective behavior of populations of neurons. A…

Neurons and Cognition · Quantitative Biology 2016-12-22 Carina Curto , Elizabeth Gross , Jack Jeffries , Katherine Morrison , Mohamed Omar , Zvi Rosen , Anne Shiu , Nora Youngs

In this paper we extend the notion of a Lorentz cone. We call a closed convex set isotone projection set with respect to a pointed closed convex cone if the projection onto the set is isotone (i.e., monotone) with respect to the order…

Optimization and Control · Mathematics 2014-12-12 S. Z. Németh , G. Zhang

A combinatorial neural code is a subset of the power set $2^{[n]}$ on $[n]=\{1,\dots, n\}$, in which each $1\leq i\leq n$ represents a neuron and each element (codeword) represents the co-firing event of some neurons. Consider a space…

Combinatorics · Mathematics 2025-12-05 R. Amzi Jeffs , Trong-Thuc Trang

A combinatorial code $\mathcal{C}$ is a collection of subsets of $[n]$, or equivalently a set of points in $\{0,1\}^n$. A morphism of codes is a map from one combinatorial code to another such that the coordinates of points in the image can…

Combinatorics · Mathematics 2026-03-12 Juliann Geraci , Alexander B. Kunin , Alexandra Seceleanu

We give several new criteria to judge whether a simple convex polytope in a Euclidean space is combinatorially equivalent to a product of simplices. These criteria are mixtures of combinatorial, geometrical and topological conditions that…

Algebraic Topology · Mathematics 2021-10-26 Li Yu , Mikiya Masuda

Orthogonal array and a large set of orthogonal arrays are important research objects in combinatorial design theory, and they are widely applied to statistics, computer science, coding theory and cryptography. In this paper, some new series…

Combinatorics · Mathematics 2023-12-20 Guangzhou Chen , Xiaodong Niu , Jiufeng Shi

The class of convex sets that admit approximations as Minkowski sum of a compact convex set and a closed convex cone in the Hausdorff distance is introduced. These sets are called approximately Motzkin-decomposable and generalize the notion…

Optimization and Control · Mathematics 2024-01-25 Daniel Dörfler , Andreas Löhne

In many instances in first order logic or computable algebra, classical theorems show that many problems are undecidable for general structures, but become decidable if some rigidity is imposed on the structure. For example, the set of…

Discrete Mathematics · Computer Science 2017-08-08 Emmanuel Jeandel

A well-known conjecture of Orlov asks whether the existence of a full exceptional collection implies rationality of the underlying variety. We prove this conjecture for arithmetic toric varieties over general fields. We also investigate a…

Algebraic Geometry · Mathematics 2024-09-27 Matthew R. Ballard , Alexander Duncan , Alicia Lamarche , Patrick K. McFaddin

Self-orthogonal codes have been of interest due to there rich algebraic structures and wide applications. Euclidean self-orthogonal codes have been quite well studied in literature. Here, we have focused on Hermitian self-orthogonal codes.…

Information Theory · Computer Science 2017-10-16 Somphong Jitman , Todsapol Mankean
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