Memristors for the Curious Outsiders

Caravelli, Francesco; Carbajal, Juan

doi:10.3390/technologies6040118

Memristors for the Curious Outsiders

Journal Article · Sat Dec 08 23:00:00 EST 2018 · Technologies

DOI:https://doi.org/10.3390/technologies6040118· OSTI ID:1558048

^[1]; Carbajal, Juan ^[2]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Hochschule für Technik Rapperswil (HSR) (Switzerland); Swiss Federal Institute of Aquatic Science and Technology, Dübendorf (Switzerland)

We present both an overview and a perspective of recent experimental advances and new methods 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 work is meant to guide nonpractitioners in the field of memristive circuits and their connection to machine learning and neural computation.

View Accepted Manuscript (DOE)

Research Organization:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 1558048

Report Number(s):: LA-UR--18-27766

Journal Information:: Technologies, Journal Name: Technologies Journal Issue: 4 Vol. 6; ISSN 2227-7080

Country of Publication:: United States

Language:: English

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Implementation of a spike-based perceptron learning rule using TiO2− x memristors Mostafa, Hesham; Khiat, Ali; Serb, Alexander ETH Zurich https://doi.org/10.3929/ethz-b-000112393	text	January 2015
Emulating short-term synaptic dynamics with memristive devices Berdan, Radu; Vasilaki, Eleni; Khiat, Ali ETH Zurich https://doi.org/10.3929/ethz-b-000127183	text	January 2016
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Memristor models for machine learning Carbajal, Juan Pablo; Dambre, Joni; Hermans, Michiel arXiv https://doi.org/10.48550/arxiv.1406.2210	text	January 2014
Memcomputing NP-complete problems in polynomial time using polynomial resources and collective states Traversa, Fabio L.; Ramella, Chiara; Bonani, Fabrizio arXiv https://doi.org/10.48550/arxiv.1411.4798	text	January 2014
Stateful characterization of resistive switching TiO2 with electron beam induced currents Hoskins, Brian D.; Adam, Gina C.; Strelcov, Evgheni arXiv https://doi.org/10.48550/arxiv.1704.01475	text	January 2017
Locality of interactions for planar memristive circuits Caravelli, Francesco arXiv https://doi.org/10.48550/arxiv.1705.00244	text	January 2017
A mean-field model of memristive circuit interaction Caravelli, Francesco; Barucca, Paolo arXiv https://doi.org/10.48550/arxiv.1706.03001	text	January 2017
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation Payvand, Melika; Nair, Manu V.; Muller, Lorenz K. arXiv https://doi.org/10.48550/arxiv.1807.05128	text	January 2018
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Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation Corradi, F.; Eliasmith, C.; Indiveri, G. Proceedings of the 2014 IEEE International Symposium on Circuits and Systems (ISCAS) https://doi.org/10.5167/uzh-107760	text	January 2014
Implementation of a spike-based perceptron learning rule using TiO2-x memristors Mostafa, Hesham; Khiat, Ali; Serb, Alexander Frontiers Research Foundation https://doi.org/10.5167/uzh-121756	text	January 2015
Emulating short-term synaptic dynamics with memristive devices Berdan, Radu; Vasilaki, Eleni; Khiat, Ali Nature Publishing Group https://doi.org/10.5167/uzh-132668	text	January 2016
Emulating short-term synaptic dynamics with memristive devices. Berdan, Radu; Vasilaki, Eleni; Khiat, Ali University of Southampton https://doi.org/10.5258/soton/384816	dataset	January 2015
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An introduction to the memristor – a valuable circuit element in bioelectricity and bioimpedance Johnsen, Gorm K. Journal of Electrical Bioimpedance, Vol. 3, Issue 1 https://doi.org/10.5617/jeb.305	journal	July 2019
Atomic switch networks as complex adaptive systems Scharnhorst, Kelsey S.; Carbajal, Juan P.; Aguilera, Renato C. Japanese Journal of Applied Physics, Vol. 57, Issue 3S2 https://doi.org/10.7567/JJAP.57.03ED02	journal	February 2018

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Fully analog memristive circuits for optimization tasks: a comparison Sheldon, Forrest C.; Caravelli, Francesco; Coffrin, Carleton arXiv https://doi.org/10.48550/arxiv.2009.00758	text	January 2020
Learning by mistakes in memristor networks Carbajal, Juan Pablo; Martin, Daniel Alejandro; Chialvo, Dante Renato arXiv https://doi.org/10.48550/arxiv.2011.07201	text	January 2020
Reservoir Computing with Thin-film Ferromagnetic Devices Dale, Matthew; Evans, Richard F. L.; Jenkins, Sarah arXiv https://doi.org/10.48550/arxiv.2101.12700	preprint	January 2021
Global minimization via classical tunneling assisted by collective force field formation Caravelli, Francesco; Sheldon, Forrest C.; Traversa, Fabio L. arXiv https://doi.org/10.48550/arxiv.2102.03385	text	January 2021
Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain Pérez‐Tomás, Amador Advanced Materials Interfaces, Vol. 6, Issue 15 https://doi.org/10.1002/admi.201900471	journal	June 2019
Electrical Properties of Magnetoactive Boron‐Organo‐Silicon Oxide Polymers Monkman, Gareth J.; Striegl, Birgit; Prem, Nina Macromolecular Chemistry and Physics, Vol. 221, Issue 4 https://doi.org/10.1002/macp.201900342	journal	January 2020
Measurement of the activation energies of oxygen ion diffusion in yttria stabilized zirconia by flicker noise spectroscopy Yakimov, Arkady V.; Filatov, Dmitry O.; Gorshkov, Oleg N. Applied Physics Letters, Vol. 114, Issue 25 https://doi.org/10.1063/1.5098066	journal	June 2019

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