Proceedings ArticleDOI
Memristor model for massively-parallel computations
Dalibor Biolek,Viera Biolkova,Zdenek Kolka +2 more
- pp 1-5
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TLDR
The model of memristor described in the paper is designed for building models of large networks for analog computations, and a benchmark circuit for testing the applications of various complexities confirms a perfect operation of the model.Abstract:
The model of memristor described in the paper is designed for building models of large networks for analog computations. A circuit containing thousands of memristors for finding the shortest path in a complicated maze is a typical example. The model is designed to meet the following criteria: 1. It is a model of HP memristor with linear dopant drift while respecting the physical bounds of the internal state variable. 2. Reliable operation in the SPICE environment also when simulating extremely large networks. 3. Minimization of the simulation time while computing bias points and during transient analyses. A benchmark circuit for testing the applications of various complexities is presented. The results confirm a perfect operation of the model also in applications containing thousands of memristors.read more
Citations
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Journal ArticleDOI
Modeling and simulation of large memristive networks
Dalibor Biolek,Dalibor Biolek,Zdenek Kolka,Viera Biolkova,Zdenek Biolek,Milka M. Potrebic,Dejan V. Tošić +6 more
TL;DR: Three different models of memristors operating in extremely large memristive networks such as crossbar structures for memory and computational circuits, memristor‐based neural networks or circuits for massively parallel analog computations are considered.
Journal ArticleDOI
A Memristive Pixel Architecture for Real-Time Tracking
TL;DR: In this paper, a pixel architecture relying on memristive devices to perform pixel-level adaptive background subtraction is presented, which allows a smaller pixel pitch and non-volatility, the latter allowing the image background to be modeled with programmable time constants.
Proceedings ArticleDOI
EU COST action IC1401 — Pushing the frontiers of memristive devices to systems
Dalibor Biolek,Sandro Carrara,Elisabetta Chicca,Fernando Corinto,Julius Georgiou,Bernabe Linares-Barranco,Themis Prodromakis,Sabina Spiga,Ronald Tetzlaff +8 more
TL;DR: The European Union COST Action IC1401 as mentioned in this paper provides the opportunity for researchers who are geographically dispersed to work together towards an ambitious, multidisciplinary goal, whilst learning from each other and avoiding effort duplication.
References
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Journal ArticleDOI
The missing memristor found
TL;DR: It is shown, using a simple analytical example, that memristance arises naturally in nanoscale systems in which solid-state electronic and ionic transport are coupled under an external bias voltage.
Journal Article
SPICE Model of Memristor with Nonlinear Dopant Drift
TL;DR: It is shown that the hitherto published approaches to the modeling of boundary conditions need not conform with the requirements for the behavior of a practical circuit element, and the described SPICE model of the memristor is constructed as an open model, enabling additional modifications of non-linear boundary conditions.
Journal ArticleDOI
Switching dynamics in titanium dioxide memristive devices
Matthew D. Pickett,Dmitri B. Strukov,Julien Borghetti,Jianhua Yang,Gregory S. Snider,Duncan Stewart,R. Stanley Williams +6 more
TL;DR: In this article, a mathematical definition of a memristive device provides the framework for understanding the physical processes involved in bipolar switching and also yields formulas that can be used to compute and predict important electrical and dynamical properties of the device.
Proceedings ArticleDOI
SPICE modeling of memristors
TL;DR: A SPICE model for the titanium dioxide memristor device is presented from its modeling equations as described in [1] and the SPICE simulations to the experimental data are compared.
Journal ArticleDOI
Solving mazes with memristors: a massively parallel approach.
TL;DR: The results demonstrate not only the application of memristive networks to the field of massively parallel computing, but also an algorithm to solve mazes, which could find applications in different fields.