3 papers
math.CO2025
Parameter Identifiability of Linear-Compartmental Mammillary Models
Katherine Clemens, Jonathan Martinez, Anne Shiu +2
Linear compartmental models are a widely used tool for analyzing systems arising in biology, medicine, and more. In such settings, it is essential to know whether model parameters…
math.CO2025
Convexity of Neural Codes with Four Maximal Codewords
Saber Ahmed, Natasha Crepeau, Gisel Flores +3
Place cells are neurons that act as biological position sensors, associated with and firing in response to regions of an environment to situate an organism in space. These associat…
math.CO2025
Identifiability of directed-cycle and catenary linear compartment models
Saber Ahmed, Natasha Crepeau, Paul R. Dessauer +6
A parameter of a mathematical model is structurally identifiable if it can be determined from noiseless experimental data. Here, we examine the identifiability properties of two im…