Analysis of dynamic linear and non-linear memristor device models for emerging neuromorphic computing hardware design. - Nathan R. McDonald; Robinson E. Pino; Peter J. Rozwood; Bryant T. Wysocki (IJCNN, 2010)

Compact method for modeling and simulation of memristor devices: Ion conductor chalcogenide-based memristor devices. - Robinson E. Pino; James W. Bohl; Nathan R. McDonald; Bryant T. Wysocki; Peter J. Rozwood; Kristy A. Campbell; Antonio S. Oblea; Achyut Timilsina (NANOARCH, 2010)

Nanoelectronic Solutions for Hardware Security. - Jeyavijayan Rajendran; Ramesh Karri; James B. Wendt; Miodrag Potkonjak; Nathan R. McDonald; Garrett S. Rose; Bryant T. Wysocki (IACR Cryptol. ePrint Arch., 2012)

Hardware security strategies exploiting nanoelectronic circuits. - Garrett S. Rose; Jeyavijayan Rajendran; Nathan R. McDonald; Ramesh Karri; Miodrag Potkonjak; Bryant T. Wysocki (ASP-DAC, 2013)

A write-time based memristive PUF for hardware security applications. - Garrett S. Rose; Nathan R. McDonald; Lok-Kwong Yan; Bryant T. Wysocki (ICCAD, 2013)

Memristor-based synapse design and a case study in reconfigurable systems. - Feng Ji; Hai (Helen) Li; Bryant T. Wysocki; Clare Thiem; Nathan R. McDonald (IJCNN, 2013)

Foundations of memristor based PUF architectures. - Garrett S. Rose; Nathan R. McDonald; Lok-Kwong Yan; Bryant T. Wysocki; Karen Xu (NANOARCH, 2013)

Nanoelectronics and Hardware Security. - Garrett S. Rose; Dhireesha Kudithipudi; Ganesh Khedkar; Nathan R. McDonald; Bryant T. Wysocki; Lok-Kwong Yan (Network Science and Cybersecurity, 2014)

Hardware-Based Computational Intelligence for Size, Weight, and Power Constrained Environments. - Bryant T. Wysocki; Nathan R. McDonald; Clare Thiem; Garrett S. Rose; Mario Gomez II (Network Science and Cybersecurity, 2014)

A survey on memristor modeling and security applications. - Md Tanvir Arafin; Carson Dunbar; Gang Qu 001; Nathan R. McDonald; L. Yan (ISQED, 2015)

Spike-Time-Dependent Encoding for Neuromorphic Processors. - Chenyuan Zhao; Bryant T. Wysocki; Yifang Liu; Clare Thiem; Nathan R. McDonald; Yang Yi 002 (ACM J. Emerg. Technol. Comput. Syst., 2015)

Nano Meets Security: Exploring Nanoelectronic Devices for Security Applications. - Jeyavijayan Rajendran; Ramesh Karri; James B. Wendt; Miodrag Potkonjak; Nathan R. McDonald; Garrett S. Rose; Bryant T. Wysocki (Proc. IEEE, 2015)

Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems. - Chenyuan Zhao; Bryant T. Wysocki; Clare D. Thiem; Nathan R. McDonald; Jialing Li; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Multi Scale Comput. Syst., 2016)

Reservoir computing & extreme learning machines using pairs of cellular automata rules. - Nathan McDonald (IJCNN, 2017)

Reservoir Computing in Embedded Systems: Three variants of the reservoir algorithm. - Nicholas Soures; Corey Merkel; Dhireesha Kudithipudi; Clare Thiem; Nathan R. McDonald (IEEE Consumer Electron. Mag., 2017)

Reservoir Computing and Extreme Learning Machines using Pairs of Cellular Automata Rules. - Nathan R. McDonald (CoRR, 2017)

An FPGA Implementation of a Time Delay Reservoir Using Stochastic Logic. - Lisa Loomis; Nathan McDonald; Cory E. Merkel (ACM J. Emerg. Technol. Comput. Syst., 2018)

In situ training of feed-forward and recurrent convolutional memristor networks. - Zhongrui Wang; Can Li; Peng Lin; Mingyi Rao; Yongyang Nie; Wenhao Song; Qinru Qiu; Yunning Li; Peng Yan; John Paul Strachan; Ning Ge 001; Nathan McDonald; et al. (Nat. Mach. Intell., 2019)

Reservoir Computing with Planar Nanomagnet Arrays. - Peng Zhou; Nathan R. McDonald; Alexander J. Edwards; Lisa Loomis; Clare D. Thiem; Joseph S. Friedman (CoRR, 2020)

Toward Intelligence in Communication Networks: A Deep Learning Identification Strategy for Radio Frequency Fingerprints. - Kangjun Bai; Clare Thiem; Nathan McDonald; Lisa Loomis; Yang Yi 002 (ISQED, 2021)

Frustrated Arrays of Nanomagnets for Efficient Reservoir Computing. - Alexander J. Edwards; Dhritiman Bhattacharya; Peng Zhou; Nathan R. McDonald; Lisa Loomis; Clare D. Thiem; Jayasimha Atulasimha; Joseph S. Friedman (CoRR, 2021)

Modularizing and Assembling Cognitive Map Learners via Hyperdimensional Computing. - Nathan McDonald (CoRR, 2023)

Assembling Modular, Hierarchical Cognitive Map Learners with Hyperdimensional Computing. - Nathan McDonald; Anthony Dematteo (IJCNN, 2024)

Modular, Hierarchical Machine Learning for Sequential Goal Completion. - Nathan McDonald (CoRR, 2024)

A Practical Guide to Tuning Spiking Neuronal Dynamics. - William Gebhardt; Alexander G. Ororbia; Nathan McDonald; Clare Thiem; Jack Lombardi (CoRR, 2025)