Topic · Statistical and Nonlinear Physics · Physics and Astronomy

Model Reduction and Neural Networks

OpenAlex topic; a paper is listed when OpenAlex scores it at least 0.5 for this topic.

32 papers

Non-Stationary Dynamic Mode Decomposition

John Ferré, Ariel Rokem, Elizabeth A. Buffalo, J. Nathan Kutz, Adrienne L. Fairhall

This paper introduces Non-Stationary Dynamic Mode Decomposition (NS-DMD) to analyze time-varying spatiotemporal data, demonstrating its application to neural recordings from a non-human primate.

IEEE Access · Jan 1, 2023Peer-reviewedNeuroscience

Data-Driven Flow-Map Models for Data-Efficient Discovery of Dynamics and Fast Uncertainty Quantification of Biological and Biochemical Systems

Georgios Makrygiorgos, Aaron J. Berliner, Fengzhe Shi, Douglas S. Clark, Adam P. Arkin, Ali Mesbah

This paper introduces data-driven flow-map models for efficiently discovering dynamics and quantifying uncertainty in biochemical systems using polynomial chaos Kriging.

Biotechnology and Bioengineering · Dec 1, 2022Peer-reviewedSystems Biology