3 papers
cs.NE2020
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…
cs.NE2018
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…
cs.NE2017
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…