Nathan R. McDonald

According to our database, Nathan R. McDonald authored at least 24 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Modular, Hierarchical Machine Learning for Sequential Goal Completion.

Nathan McDonald

CoRR, 2024

Assembling Modular, Hierarchical Cognitive Map Learners with Hyperdimensional Computing.

Nathan McDonald, Anthony Dematteo

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Modularizing and Assembling Cognitive Map Learners via Hyperdimensional Computing.

Nathan McDonald

CoRR, 2023

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

Toward Intelligence in Communication Networks: A Deep Learning Identification Strategy for Radio Frequency Fingerprints.

Kangjun Bai, Clare Thiem, Nathan McDonald, Lisa Loomis, Yang Yi

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

2020

Reservoir Computing with Planar Nanomagnet Arrays.

Peng Zhou, Nathan R. McDonald, Alexander J. Edwards, Lisa Loomis, Clare D. Thiem, Joseph S. Friedman

CoRR, 2020

2019

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, Nathan McDonald, Qing Wu, Miao Hu, Huaqiang Wu, R. Stanley Williams, Qiangfei Xia, J. Joshua Yang

Nat. Mach. Intell., 2019

2018

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

2017

Reservoir Computing and Extreme Learning Machines using Pairs of Cellular Automata Rules.

Nathan R. McDonald

CoRR, 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 & extreme learning machines using pairs of cellular automata rules.

Nathan McDonald

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

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, Yang Yi

IEEE Trans. Multi Scale Comput. Syst., 2016

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

Spike-Time-Dependent Encoding for Neuromorphic Processors.

Chenyuan Zhao, Bryant T. Wysocki, Yifang Liu, Clare Thiem, Nathan R. McDonald, Yang Yi

ACM J. Emerg. Technol. Comput. Syst., 2015

A survey on memristor modeling and security applications.

Md Tanvir Arafin, Carson Dunbar, Gang Qu, Nathan R. McDonald, L. Yan

Proceedings of the Sixteenth International Symposium on Quality Electronic Design, 2015

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

Proceedings of the Network Science and Cybersecurity, 2014

Nanoelectronics and Hardware Security.

Garrett S. Rose, Dhireesha Kudithipudi, Ganesh Khedkar, Nathan R. McDonald, Bryant T. Wysocki, Lok-Kwong Yan

Proceedings of the Network Science and Cybersecurity, 2014

2013

Foundations of memristor based PUF architectures.

Garrett S. Rose, Nathan R. McDonald, Lok-Kwong Yan, Bryant T. Wysocki, Karen Xu

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 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

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A write-time based memristive PUF for hardware security applications.

Garrett S. Rose, Nathan R. McDonald, Lok-Kwong Yan, Bryant T. Wysocki

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013

Hardware security strategies exploiting nanoelectronic circuits.

Garrett S. Rose, Jeyavijayan Rajendran, Nathan R. McDonald, Ramesh Karri, Miodrag Potkonjak, Bryant T. Wysocki

Proceedings of the 18th Asia and South Pacific Design Automation Conference, 2013

2012

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

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

Proceedings of the 2010 IEEE/ACM International Symposium on Nanoscale Architectures, 2010

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

Proceedings of the International Joint Conference on Neural Networks, 2010