1 citations · 1 across the 2 of their papers we have counts for
3 papers
Identifiability of Linear Compartmental Models: The Impact of Removing Leaks and Edges
Patrick Chan, Katherine Johnston, Anne Shiu +2
A mathematical model is identifiable if its parameters can be recovered from data. Here, we focus on a particular class of model, linear compartmental models, which are used to rep…
Nondegenerate Neural Codes and Obstructions to Closed-Convexity
Patrick Chan, Katherine Johnston, Joseph Lent +2
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…
Neural Codes With Three Maximal Codewords: Convexity and Minimal Embedding Dimension
Katherine Johnston, Anne Shiu, Clare Spinner
Neural codes, represented as collections of binary strings called codewords, are used to encode neural activity. A code is called convex if its codewords are represented as an arra…