Memristors for the Curious Outsiders

@article{Caravelli2018MemristorsFT,
  title={Memristors for the Curious Outsiders},
  author={Francesco Caravelli and Juan Pablo Carbajal},
  journal={ArXiv},
  year={2018},
  volume={abs/1812.03389}
}
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… 
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29 Citations
Background Citations
5
Methods Citations
2

29 Citations

Learning by mistakes in memristor networks.
TLDR
This work introduces a training algorithm for a memristor network which is inspired by previous work on biological learning and its implementation in hardware is straightforward, being scalable and requiring very little peripheral computation overhead.
Memristor in a Reservoir System-Experimental Evidence for High-Level Computing and Neuromorphic Behavior of PbI2.
TLDR
This paper explains the mechanism that stands behind the I- V pinched hysteresis loop of the PbX2|metal interface and presents its synaptic-like plasticity (spike-timing- dependent plasticity and spike-rate-dependent plasticity) and nonvolatile memory effects.
Investigating a Discrete Model of Memristive Systems
Resistive-switching setups, which operate by controlled physical reconfiguration of the switching material, are extensively studied nowadays. These devices known as memristors are one of several…
Asymptotic Behavior of Memristive Circuits
TLDR
It is shown that a polynomial Lyapunov function in the memory parameters exists for the case of DC controlled memristors, and an approximated but direct connection with the physics of disordered system and, in particular, of mean field spin glasses.
Memristive Effects in Nanopatterned Permalloy Kagomé Array
We study memristive effects in Kagomé nanopatterned permalloy. We observe that at low frequencies a thermistor effect is present, a phenomenon arising due to the lithography and absent in similar…
Dynamical memristors for higher-complexity neuromorphic computing
TLDR
How novel material properties enable complex dynamics and define different orders of complexity in memristor devices and systems are discussed, which enable new computing architectures that offer dramatically greater computing efficiency than conventional computers.
Quantum Memristors in Frequency-Entangled Optical Fields
TLDR
It is shown that the characteristic hysteretic behavior of memristors can be reproduced when analyzing the response of the system with respect to the control, for different experimentally attainable states.
Anisotropic MagnetoMemristance
In the last decade, nanoscale resistive devices with memory have been the subject of intense study because of their possible use in brain-inspired computing. However, operational endurance is one of…
Compensating Circuit to Reduce the Impact of Wire Resistance in a Memristor Crossbar-Based Perceptron Neural Network.
TLDR
A compensating circuit is proposed to reduce the impact of wire resistance in a memristor crossbar-based perceptron neural network and shows better recognition rate compared to the previous work when wire resistance is taken into account.
All-Printed Flexible Memristor with Metal–Non-Metal-Doped TiO2 Nanoparticle Thin Films
A memristor is a fundamental electronic device that operates like a biological synapse and is considered as the solution of classical von Neumann computers. Here, a fully printed and flexible…
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