Memristor Computing Systems

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Publisher : Springer Nature
ISBN 13 : 3030905829
Total Pages : 307 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Memristor Computing Systems by : Leon O. Chua

Download or read book Memristor Computing Systems written by Leon O. Chua and published by Springer Nature. This book was released on 2022-06-23 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume offers practical solutions and design-, modeling-, and implementation-related insights that address current research problems in memristors, memristive devices, and memristor computing. The book studies and addresses related challenges in and proposes solutions for the future of memristor computing. State-of-the-art research on memristor modeling, memristive interconnections, memory circuit architectures, software simulation tools, and applications of memristors in computing are presented. Utilising contributions from numerous experts in the field, written in clear language and illustrated throughout, this book is a comprehensive reference work. Memristor Computing Systems explains memristors and memristive devices in an accessible way for graduate students and researchers with a basic knowledge of electrical and control systems engineering, as well as prompting further research for more experienced academics.

Memristors and Memristive Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1461490685
Total Pages : 409 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Memristors and Memristive Systems by : Ronald Tetzlaff

Download or read book Memristors and Memristive Systems written by Ronald Tetzlaff and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of current research on memristors, memcapacitors and, meminductors. In addition to an historical overview of the research in this area, coverage includes the theory behind memristive circuits, as well as memcapacitance, and meminductance. Details are shown for recent applications of memristors for resistive random access memories, neuromorphic systems and hybrid CMOS/memristor circuits. Methods for the simulation of memristors are demonstrated and an introduction to neuromorphic modeling is provided.

Memristor-Based Nanoelectronic Computing Circuits and Architectures

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Publisher : Springer
ISBN 13 : 3319226479
Total Pages : 263 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Memristor-Based Nanoelectronic Computing Circuits and Architectures by : Ioannis Vourkas

Download or read book Memristor-Based Nanoelectronic Computing Circuits and Architectures written by Ioannis Vourkas and published by Springer. This book was released on 2015-08-26 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers the design and development of nanoelectronic computing circuits, systems and architectures focusing particularly on memristors, which represent one of today’s latest technology breakthroughs in nanoelectronics. The book studies, explores, and addresses the related challenges and proposes solutions for the smooth transition from conventional circuit technologies to emerging computing memristive nanotechnologies. Its content spans from fundamental device modeling to emerging storage system architectures and novel circuit design methodologies, targeting advanced non-conventional analog/digital massively parallel computational structures. Several new results on memristor modeling, memristive interconnections, logic circuit design, memory circuit architectures, computer arithmetic systems, simulation software tools, and applications of memristors in computing are presented. High-density memristive data storage combined with memristive circuit-design paradigms and computational tools applied to solve NP-hard artificial intelligence problems, as well as memristive arithmetic-logic units, certainly pave the way for a very promising memristive era in future electronic systems. Furthermore, these graph-based NP-hard problems are solved on memristive networks, and coupled with Cellular Automata (CA)-inspired computational schemes that enable computation within memory. All chapters are written in an accessible manner and are lavishly illustrated. The book constitutes an informative cornerstone for young scientists and a comprehensive reference to the experienced reader, hoping to stimulate further research on memristive devices, circuits, and systems.

Handbook of Memristor Networks

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Publisher : Springer Nature
ISBN 13 : 331976375X
Total Pages : 1368 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Handbook of Memristor Networks by : Leon Chua

Download or read book Handbook of Memristor Networks written by Leon Chua and published by Springer Nature. This book was released on 2019-11-12 with total page 1368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook presents all aspects of memristor networks in an easy to read and tutorial style. Including many colour illustrations, it covers the foundations of memristor theory and applications, the technology of memristive devices, revised models of the Hodgkin-Huxley Equations and ion channels, neuromorphic architectures, and analyses of the dynamic behaviour of memristive networks. It also shows how to realise computing devices, non-von Neumann architectures and provides future building blocks for deep learning hardware. With contributions from leaders in computer science, mathematics, electronics, physics, material science and engineering, the book offers an indispensable source of information and an inspiring reference text for future generations of computer scientists, mathematicians, physicists, material scientists and engineers working in this dynamic field.

Advances in Neuromorphic Memristor Science and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 9400744919
Total Pages : 318 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Advances in Neuromorphic Memristor Science and Applications by : Robert Kozma

Download or read book Advances in Neuromorphic Memristor Science and Applications written by Robert Kozma and published by Springer Science & Business Media. This book was released on 2012-06-28 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future applications for memristive devices. The possibility of gathering prominent scientists in the heart of the Silicon Valley given by the 2011 International Joint Conference on Neural Networks held in San Jose, CA, has offered us the unique opportunity of organizing a series of special events on the present status and future perspectives in neuromorphic memristor science. This book presents a selection of the remarkable contributions given by the leaders of the field and it may serve as inspiration and future reference to all researchers that want to explore the extraordinary possibilities given by this revolutionary concept.

Memristor Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 3319026305
Total Pages : 716 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Memristor Networks by : Andrew Adamatzky

Download or read book Memristor Networks written by Andrew Adamatzky and published by Springer Science & Business Media. This book was released on 2013-12-18 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using memristors one can achieve circuit functionalities that are not possible to establish with resistors, capacitors and inductors, therefore the memristor is of great pragmatic usefulness. Potential unique applications of memristors are in spintronic devices, ultra-dense information storage, neuromorphic circuits and programmable electronics. Memristor Networks focuses on the design, fabrication, modelling of and implementation of computation in spatially extended discrete media with many memristors. Top experts in computer science, mathematics, electronics, physics and computer engineering present foundations of the memristor theory and applications, demonstrate how to design neuromorphic network architectures based on memristor assembles, analyse varieties of the dynamic behaviour of memristive networks and show how to realise computing devices from memristors. All aspects of memristor networks are presented in detail, in a fully accessible style. An indispensable source of information and an inspiring reference text, Memristor Networks is an invaluable resource for future generations of computer scientists, mathematicians, physicists and engineers.

Nonlinear Circuits and Systems with Memristors

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Publisher : Springer Nature
ISBN 13 : 3030556514
Total Pages : 438 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Nonlinear Circuits and Systems with Memristors by : Fernando Corinto

Download or read book Nonlinear Circuits and Systems with Memristors written by Fernando Corinto and published by Springer Nature. This book was released on 2020-10-31 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a new approach to the study of physical nonlinear circuits and advanced computing architectures with memristor devices. Such a unified approach to memristor theory has never been systematically presented in book form. After giving an introduction on memristor-based nonlinear dynamical circuits (e.g., periodic/chaotic oscillators) and their use as basic computing analogue elements, the authors delve into the nonlinear dynamical properties of circuits and systems with memristors and present the flux-charge analysis, a novel method for analyzing the nonlinear dynamics starting from writing Kirchhoff laws and constitutive relations of memristor circuit elements in the flux-charge domain. This analysis method reveals new peculiar and intriguing nonlinear phenomena in memristor circuits, such as the coexistence of different nonlinear dynamical behaviors, extreme multistability and bifurcations without parameters. The book also describes how arrays of memristor-based nonlinear oscillators and locally-coupled neural networks can be applied in the field of analog computing architectures, for example for pattern recognition. The book will be of interest to scientists and engineers involved in the conceptual design of physical memristor devices and systems, mathematical and circuit models of physical processes, circuits and networks design, system engineering, or data processing and system analysis.

Memristor Technology: Synthesis and Modeling for Sensing and Security Applications

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Author :
Publisher : Springer
ISBN 13 : 3319656996
Total Pages : 118 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Memristor Technology: Synthesis and Modeling for Sensing and Security Applications by : Heba Abunahla

Download or read book Memristor Technology: Synthesis and Modeling for Sensing and Security Applications written by Heba Abunahla and published by Springer. This book was released on 2017-09-18 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a single-source guide to fabricate, characterize and model memristor devices for sensing applications. The authors describe a correlated, physics-based model to simulate and predict the behavior of devices fabricated with different oxide materials, active layer thickness, and operating temperature. They discuss memristors from various perspectives, including working mechanisms, different synthesis methods, characterization procedures, and device employment in radiation sensing and security applications.

Advances in Memristors, Memristive Devices and Systems

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Publisher : Springer
ISBN 13 : 3319517244
Total Pages : 513 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Advances in Memristors, Memristive Devices and Systems by : Sundarapandian Vaidyanathan

Download or read book Advances in Memristors, Memristive Devices and Systems written by Sundarapandian Vaidyanathan and published by Springer. This book was released on 2017-02-15 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest advances in and applications of memristors, memristive devices and systems. It gathers 20 contributed chapters by subject experts, including pioneers in the field such as Leon Chua (UC Berkeley, USA) and R.S. Williams (HP Labs, USA), who are specialized in the various topics addressed in this book, and covers broad areas of memristors and memristive devices such as: memristor emulators, oscillators, chaotic and hyperchaotic memristive systems, control of memristive systems, memristor-based min-max circuits, canonic memristors, memristive-based neuromorphic applications, implementation of memristor-based chaotic oscillators, inverse memristors, linear memristor devices, delayed memristive systems, flux-controlled memristive emulators, etc. Throughout the book, special emphasis is given to papers offering practical solutions and design, modeling, and implementation insights to address current research problems in memristors, memristive devices and systems. As such, it offers a valuable reference book on memristors and memristive devices for graduate students and researchers with a basic knowledge of electrical and control systems engineering.

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

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Publisher : MDPI
ISBN 13 : 3039285769
Total Pages : 244 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Memristors for Neuromorphic Circuits and Artificial Intelligence Applications by : Jordi Suñé

Download or read book Memristors for Neuromorphic Circuits and Artificial Intelligence Applications written by Jordi Suñé and published by MDPI. This book was released on 2020-04-09 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.

Implications of Memristor Technologies for Future Computing Systems

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Publisher :
ISBN 13 :
Total Pages : 1128 pages
Book Rating : 4.:/5 (116 download)

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Book Synopsis Implications of Memristor Technologies for Future Computing Systems by : Dietmar Fey

Download or read book Implications of Memristor Technologies for Future Computing Systems written by Dietmar Fey and published by . This book was released on 2019 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Memristor Neural Networks

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Publisher : BoD – Books on Demand
ISBN 13 : 1789841151
Total Pages : 126 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Advances in Memristor Neural Networks by : Calin Ciufudean

Download or read book Advances in Memristor Neural Networks written by Calin Ciufudean and published by BoD – Books on Demand. This book was released on 2018-10-03 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, scientific research deals with alternative solutions for creating non-traditional computing systems, such as neural network architectures where the stochastic nature and live dynamics of memristive models play a key role. The features of memristors make it possible to direct processing and analysis of both biosystems and systems driven by artificial intelligence, as well as develop plausible physical models of spiking neural networks with self-organization. This book deals with advanced applications illustrating these concepts, and delivers an important contribution for the achievement of the next generation of intelligent hybrid biostructures. Different modeling and simulation tools can deliver an alternative to funding the theoretical approach as well as practical implementation of memristive systems.

Memristor

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Publisher : BoD – Books on Demand
ISBN 13 : 1839689560
Total Pages : 180 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Memristor by : Yao-Feng Chang

Download or read book Memristor written by Yao-Feng Chang and published by BoD – Books on Demand. This book was released on 2021-11-17 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a platform for interdisciplinary research into unconventional computing with emerging physical substrates. With a focus on memristor devices, the chapter authors discuss a wide range of topics, including memristor theory, mathematical modelling, circuit theory, memristor-mate, memristor security, artificial intelligence, and much more.

Memristor and Memristive Neural Networks

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Publisher : BoD – Books on Demand
ISBN 13 : 9535139479
Total Pages : 326 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Memristor and Memristive Neural Networks by : Alex James

Download or read book Memristor and Memristive Neural Networks written by Alex James and published by BoD – Books on Demand. This book was released on 2018-04-04 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.

Memristive Devices for Brain-Inspired Computing

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Publisher : Woodhead Publishing
ISBN 13 : 0081027877
Total Pages : 569 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Memristive Devices for Brain-Inspired Computing by : Sabina Spiga

Download or read book Memristive Devices for Brain-Inspired Computing written by Sabina Spiga and published by Woodhead Publishing. This book was released on 2020-06-12 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. Provides readers an overview of four key concepts in this emerging research topic including materials and device aspects, algorithmic aspects, circuits and architectures and target applications Covers a broad range of applications, including brain-inspired computing, computational memory, deep learning and spiking neural networks Includes perspectives from a wide range of disciplines, including materials science, electrical engineering and computing, providing a unique interdisciplinary look at the field

Temporal Signal Processing with Memristor-based In-memory Computing Systems

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (145 download)

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Book Synopsis Temporal Signal Processing with Memristor-based In-memory Computing Systems by : 陳和甘

Download or read book Temporal Signal Processing with Memristor-based In-memory Computing Systems written by 陳和甘 and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Thermal Optimization for Memristor-Based Hybrid Neuromorphic Computing Systems

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Publisher :
ISBN 13 :
Total Pages : 35 pages
Book Rating : 4.:/5 (936 download)

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Book Synopsis Thermal Optimization for Memristor-Based Hybrid Neuromorphic Computing Systems by :

Download or read book Thermal Optimization for Memristor-Based Hybrid Neuromorphic Computing Systems written by and published by . This book was released on 2015 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: