Molecular cellular networks: A non von Neumann architecture for molecular electronics. - Craig S. Lent; Kenneth W. Henderson; S. Alex Kandel; Steven A. Corcelli; Gregory L. Snider; Alexei O. Orlov; Peter M. Kogge; Michael T. Niemier; Ryan C. Brown; John A. Christie; Natalie A. Wasio; Rebecca C. Quardokus; et al. (ICRC, 2016)

HSImage: A Python and C++ library to allow interaction with ENVI-BIL hyperspectral images. - Ryan C. Brown; Joshua Moser (J. Open Source Softw., 2018)

Uncertainty-based modulation for lifelong learning. - Andrew P. Brna; Ryan C. Brown; Patrick M. Connolly; Stephen B. Simons; Renee E. Shimizu; Mario Aguilar-Simon (Neural Networks, 2019)

Uncertainty-Driven Control for a Self-Supervised Lifelong Learning Drone. - Ryan C. Brown; Andrew P. Brna; Jared Cook; Samuel Park; Mario Aguilar-Simon (IGARSS, 2022)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)

A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties. - David J. Schodt; Ryan C. Brown; Michael Merritt; Samuel Park; Delsin Menolascino; Mark A. Peot (CoRR, 2024)