1 citations · 1 across the 2 of their papers we have counts for
4 papers
Efficient Convex Optimization Methods for State-Space Heartbeat Dynamics Models with Gamma Generalized Linear Models
Sabrina Liu, Andrew S. Perley, Todd P. Coleman
Objective: This work proposes a dynamic state-space statistical model of heartbeat dynamics whose optimal state estimate can be solved efficiently with convex optimization and used…
A nonlinear dynamics approach to assess amplitude-frequency coupling in non-invasive human electrogastrography recordings
Akshita A. Rao, Todd P. Coleman
Conventional electrogastrography (EGG) analyses summarize gastric slow-wave activity using dominant frequency, power, or phase-based metrics, without explicitly modeling amplitude-…
An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network
Roberto C. Budzinski, Alexandra N. Busch, Samuel Mestern +7
We study a complex-valued neural network (cv-NN) with linear, time-delayed interactions. We report the cv-NN displays sophisticated spatiotemporal dynamics, including partially syn…
A Distributed Framework for the Construction of Transport Maps
Diego A. Mesa, Justin Tantiongloc, Marcela Mendoza +1
The need to reason about uncertainty in large, complex, and multi-modal datasets has become increasingly common across modern scientific environments. The ability to transform samp…