Next Article in Journal
A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges
Previous Article in Journal
On the Throughput Region of Wireless Random Access Protocols with Multi-Packet Reception Using Multi-Objective Optimization
Open AccessPerspective

Memristors for the Curious Outsiders

Theoretical Division and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Institute for Energy Technology, HSR (Hochschule für Technik Rapperswil) or University of Applied Sciences Rapperswil, 8640 Rapperswil, Switzerland
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;
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
Show Figures

Figure 1

MDPI and ACS Style

Caravelli, F.; Carbajal, J.P. Memristors for the Curious Outsiders. Technologies 2018, 6, 118.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

Back to TopTop