44 citations · 73 across the 5 of their papers we have counts for
6 papers
Modularizing and Assembling Cognitive Map Learners via Hyperdimensional Computing
Nathan McDonald
Biological organisms must learn how to control their own bodies to achieve deliberate locomotion, that is, predict their next body position based on their current position and sele…
Passive frustrated nanomagnet reservoir computing
Alexander J. Edwards, Dhritiman Bhattacharya, Peng Zhou +10
Reservoir computing (RC) has received recent interest because reservoir weights do not need to be trained, enabling extremely low-resource consumption implementations, which could…
Reservoir Computing with Planar Nanomagnet Arrays
Peng Zhou, Nathan R. McDonald, Alexander J. Edwards +3
Reservoir computing is an emerging methodology for neuromorphic computing that is especially well-suited for hardware implementations in size, weight, and power (SWaP) constrained…
An FPGA Implementation of a Time Delay Reservoir Using Stochastic Logic
Lisa Loomis, Nathan McDonald, Cory Merkel
This paper presents and demonstrates a stochastic logic time delay reservoir design in FPGA hardware. The reservoir network approach is analyzed using a number of metrics, such as…
Reservoir Computing and Extreme Learning Machines using Pairs of Cellular Automata Rules
Nathan McDonald
A framework for implementing reservoir computing (RC) and extreme learning machines (ELMs), two types of artificial neural networks, based on 1D elementary Cellular Automata (CA) i…
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 +1
The value memristor devices offer to the neuromorphic computing hardware design community rests on the ability to provide effective device models that can enable large scale integr…