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Memristors for the Curious Outsiders

1
Theoretical Division and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
2
Institute for Energy Technology, HSR (Hochschule für Technik Rapperswil) or University of Applied Sciences Rapperswil, 8640 Rapperswil, Switzerland
3
Swiss Federal Institute of Aquatic Science and Technology, Eawag, Überlandstrasse 133, 8600 Dübendorf, Switzerland
*
Author to whom correspondence should be addressed.
Technologies 2018, 6(4), 118; https://doi.org/10.3390/technologies6040118
Received: 28 September 2018 / Revised: 24 November 2018 / Accepted: 3 December 2018 / Published: 9 December 2018
We present both an overview and a perspective of recent experimental advances and proposed new approaches to performing computation using memristors. A memristor is a 2-terminal passive component with a dynamic resistance depending on an internal parameter. We provide an brief historical introduction, as well as an overview over the physical mechanism that lead to memristive behavior. This review is meant to guide nonpractitioners in the field of memristive circuits and their connection to machine learning and neural computation. View Full-Text
Keywords: memristors; neuromorphic computing; analog computation; machine learning memristors; neuromorphic computing; analog computation; machine learning
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Caravelli, F.; Carbajal, J.P. Memristors for the Curious Outsiders. Technologies 2018, 6, 118.

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