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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 other neurons with convex receptive fields. In Chapter 4,…

Neurons and Cognition · Quantitative Biology 2022-09-19 Caitlin Lienkaemper

In this paper, we focus on the design of binary constant weight codes that admit low-complexity encoding and decoding algorithms, and that have a size $M=2^k$. For every integer $\ell \geq 3$, we construct a $(n=2^\ell, M=2^{k_{\ell}},…

Information Theory · Computer Science 2024-07-02 Birenjith Sasidharan , Emanuele Viterbo , Son Hoang Dau

Binary codes are constructed from incidence matrices of hypergraphs. A combinatroial description is given for the minimum distances of such codes via a combinatorial tool called ``eonv". This combinatorial approach provides a faster…

Information Theory · Computer Science 2022-10-14 Sudipta Mallik , Bahattin Yildiz

We address the maximum size of binary codes and binary constant weight codes with few distances. Previous works established a number of bounds for these quantities as well as the exact values for a range of small code lengths. As our main…

Combinatorics · Mathematics 2025-07-14 Alexander Barg , Alexey Glazyrin , Wei-Jiun Kao , Ching-Yi Lai , Pin-Chieh Tseng , Wei-Hsuan Yu

Traditionally, most complex intelligence architectures are extremely non-convex, which could not be well performed by convex optimization. However, this paper decomposes complex structures into three types of nodes: operators, algorithms…

Machine Learning · Computer Science 2018-01-16 Han Xiao

Toric codes are obtained by evaluating rational functions of a nonsingular toric variety at the algebraic torus. One can extend toric codes to the so called generalized toric codes. This extension consists on evaluating elements of an…

Information Theory · Computer Science 2010-02-25 Diego Ruano

In this paper infinite families of linear binary nested completely regular codes are constructed. They have covering radius $\rho$ equal to $3$ or $4$, and are $1/2^i$-th parts, for $i\in\{1,\ldots,u\}$ of binary (respectively, extended…

Combinatorics · Mathematics 2014-04-28 J. Borges , J. Rifà , V. A. Zinoviev

Recently, simplicial complexes are used in constructions of several infinite families of minimal and optimal linear codes by Hyun {\em et al.} Building upon their research, in this paper more linear codes over the ring $\mathbb{Z}_4$ are…

Information Theory · Computer Science 2024-01-24 Yansheng Wu , Chao Li , Lin Zhang , Fu Xiao

If two distance-3 codes have the same neighborhood, then each of them is called a mobile set. In the (4k+3)-dimensional binary hypercube, there exists a mobile set of cardinality 2*6^k that cannot be split into mobile sets of smaller…

Combinatorics · Mathematics 2008-08-06 Yuriy Vasil'ev , Sergey Avgustinovich , Denis Krotov

We propose an abstract definition of convex spaces as sets where one can take convex combinations in a consistent way. A priori, a convex space is an algebra over a finitary version of the Giry monad. We identify the corresponding Lawvere…

Metric Geometry · Mathematics 2015-10-20 Tobias Fritz

There exists a large literature of construction of convolutional codes with maximal or near maximal free distance. Much less is known about constructions of convolutional codes having optimal or near optimal column distances. In this paper,…

Information Theory · Computer Science 2023-05-26 Zita Abreu , Julia Lieb , Joachim Rosenthal

A primitive $k$-batch code encodes a string $x$ of length $n$ into string $y$ of length $N$, such that each multiset of $k$ symbols from $x$ has $k$ mutually disjoint recovering sets from $y$. We develop new explicit and random coding…

Information Theory · Computer Science 2019-01-23 Nikita Polyanskii , Ilya Vorobyev

In this paper, we mainly study quaternary linear codes and their binary subfield codes. First we obtain a general explicit relationship between quaternary linear codes and their binary subfield codes in terms of generator matrices and…

Information Theory · Computer Science 2022-01-03 Yansheng Wu , Chengju Li , Fu Xiao

This paper addresses the symbolic representation of non-convex real polyhedra, i.e., sets of real vectors satisfying arbitrary Boolean combinations of linear constraints. We develop an original data structure for representing such sets,…

Formal Languages and Automata Theory · Computer Science 2010-11-02 Bernard Boigelot , Julien Brusten , Jean-François Degbomont

A neural code on $ n $ neurons is a collection of subsets of the set $ [n]=\{1,2,\dots,n\} $. In this paper, we study some properties of graphs of neural codes. In particular, we study codeword containment graph (CCG) given by Chan et al.…

Combinatorics · Mathematics 2024-03-27 Suhith K N , Neha Gupta

A convex geometry is a closure system satisfying the anti-exchange property. This paper, following the work of K. Adaricheva and M. Bolat (2016) and the Polymath REU 2020 team, continues to investigate representations of convex geometries…

Combinatorics · Mathematics 2022-06-14 Kira Adaricheva , Evan Daisy , Ayush Garg , Zachary King , Grace Ma , Michelle Olson , Cat Raanes , James Thompson

Many problems in Computer Science can be abstracted to the following question: given a set of objects and rules respectively, which new objects can be produced? In the paper, we consider a succinct version of the question: given a set of…

Data Structures and Algorithms · Computer Science 2012-01-04 Tian-Ming Bu , Chen Yuan , Peng Zhang

All codes with minimum distance 8 and codimension up to 14 and all codes with minimum distance 10 and codimension up to 18 are classified. Nonexistence of codes with parameters [33,18,8] and [33,14,10] is proved. This leads to 8 new exact…

Information Theory · Computer Science 2016-11-18 Iliya Bouyukliev , Erik Jakobsson

Bi-modal (respectively, multi-modal) constrained coding refers to an encoding model whereby a user input block can be mapped to two (respectively, multiple) codewords. In current storage applications, such as optical disks, multi-modal…

Information Theory · Computer Science 2020-04-30 Ron M. Roth , Paul H. Siegel

Most deep neural networks are considered to be black boxes, meaning their output is hard to interpret. In contrast, logical expressions are considered to be more comprehensible since they use symbols that are semantically close to natural…

Machine Learning · Computer Science 2020-12-16 Sophie Burkhardt , Jannis Brugger , Nicolas Wagner , Zahra Ahmadi , Kristian Kersting , Stefan Kramer
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