Memristor Computing Systems

Author : Leon O. Chua,Ronald Tetzlaff,Angela Slavova
Publisher : Springer Nature
Page : 307 pages
File Size : 54,9 Mb
Release : 2022-06-23
Category : Technology & Engineering
ISBN : 9783030905828

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Memristor Computing Systems by Leon O. Chua,Ronald Tetzlaff,Angela Slavova Pdf

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.

Author : Ronald Tetzlaff
Publisher : Springer Science & Business Media
Page : 409 pages
File Size : 41,6 Mb
Release : 2013-12-11
Category : Technology & Engineering
ISBN : 9781461490685

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Memristors and Memristive Systems by Ronald Tetzlaff Pdf

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.

Author : Robert Kozma,Robinson E. Pino,Giovanni E. Pazienza
Publisher : Springer Science & Business Media
Page : 318 pages
File Size : 52,8 Mb
Release : 2012-06-28
Category : Medical
ISBN : 9789400744912

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Advances in Neuromorphic Memristor Science and Applications by Robert Kozma,Robinson E. Pino,Giovanni E. Pazienza Pdf

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.

Author : Fernando Corinto,Mauro Forti,Leon O. Chua
Publisher : Springer Nature
Page : 438 pages
File Size : 41,9 Mb
Release : 2020-10-31
Category : Technology & Engineering
ISBN : 9783030556518

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Nonlinear Circuits and Systems with Memristors by Fernando Corinto,Mauro Forti,Leon O. Chua Pdf

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.

Author : Valeri Mladenov
Publisher : MDPI
Page : 184 pages
File Size : 51,6 Mb
Release : 2019-02-19
Category : Technology & Engineering
ISBN : 9783038971047

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Advanced Memristor Modeling by Valeri Mladenov Pdf

The investigation of new memory schemes, neural networks, computer systems and many other improved electronic devices is very important for future generation's electronic circuits and for their widespread application in all the areas of industry. In this aspect the analysis of new efficient and advanced electronic elements and circuits is an essential field of the highly developed electrical and electronic engineering. The resistance-switching phenomenon, observed in many amorphous oxides has been investigated since 1970 and it is a promising technology for constructing new electronic memories. It has been established that such oxide materials have the ability for changing their conductance in accordance to the applied voltage and memorizing their state for a long-time interval. Similar behaviour has been predicted for the memristor element by Leon Chua in 1971. The memristor is proposed in accordance to symmetry considerations and the relationships between the four basic electric quantities - electric current i, voltage v, charge q and magnetic flux Ψ. The memristor is an essential passive one-port element together with the resistor, inductor, and capacitor. The Williams HP research group has made a link between resistive switching devices, and the memristor proposed by Chua. A number of scientific papers related to memristors and memristor devices have been issued and several memristor models have been proposed. The memristor is a highly nonlinear component. It relates the electric charge q and the flux linkage, expressed as a time integral of the voltage. The memristor element has the important capability for remembering the electric charge passed through its cross-section and its respective resistance, when the electrical signals are switched off. Due to its nano-scale dimensions, non-volatility and memorizing properties, the memristor is a sound potential candidate for application in computer high-density memories, artificial neural networks and in many other electronic devices.

Author : Sundarapandian Vaidyanathan,Christos Volos
Publisher : Springer
Page : 511 pages
File Size : 47,6 Mb
Release : 2017-02-15
Category : Technology & Engineering
ISBN : 9783319517247

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Advances in Memristors, Memristive Devices and Systems by Sundarapandian Vaidyanathan,Christos Volos Pdf

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.

Author : Andrew Adamatzky,Leon Chua
Publisher : Springer Science & Business Media
Page : 716 pages
File Size : 52,8 Mb
Release : 2013-12-18
Category : Computers
ISBN : 9783319026305

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Memristor Networks by Andrew Adamatzky,Leon Chua Pdf

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.

Author : Dietmar Fey,Wolfgang Karl,Theo Ungerer,Oliver Bringmann,Uwe Brinkschulte,Jan Haase
Publisher : Unknown
Page : 1128 pages
File Size : 40,9 Mb
Release : 2019
Category : Electronic
ISBN : OCLC:1162818548

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Implications of Memristor Technologies for Future Computing Systems by Dietmar Fey,Wolfgang Karl,Theo Ungerer,Oliver Bringmann,Uwe Brinkschulte,Jan Haase Pdf

Author : Dhanasekar, S.,Sagayam, K. Martin,Vijh, Surbhi,Tyagi, Vipin,Norta, Alex
Publisher : IGI Global
Page : 400 pages
File Size : 51,9 Mb
Release : 2023-07-19
Category : Computers
ISBN : 9781668465981

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Neuromorphic Computing Systems for Industry 4.0 by Dhanasekar, S.,Sagayam, K. Martin,Vijh, Surbhi,Tyagi, Vipin,Norta, Alex Pdf

As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery-powered and deeply embedded devices are challenged to perform AI functions such as computer vision and voice recognition. Microchip Technology Inc., via its Silicon Storage Technology (SST) subsidiary, is addressing this challenge by significantly reducing power with its analog memory technology, the memBrain Memory Solution. The memBrain solution is being adopted by today’s companies looking to advance machine learning capacities in edge devices. Due to its ability to significantly reduce power, this analog in-memory computer solution is ideal for an AI application. Neuromorphic Computing Systems for Industry 4.0 covers the available literature in the field of neural computing-based microchip technology. It provides further research opportunities in this dynamic field. Covering topics such as emotion recognition, biometric authentication, and neural network protection, this premier reference source is an essential resource for technology developers, computer scientists, engineers, students and educators of higher education, librarians, researchers, and academicians.

Author : Leon Chua,Georgios Ch. Sirakoulis,Andrew Adamatzky
Publisher : Springer Nature
Page : 1368 pages
File Size : 42,7 Mb
Release : 2019-11-12
Category : Computers
ISBN : 9783319763750

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Handbook of Memristor Networks by Leon Chua,Georgios Ch. Sirakoulis,Andrew Adamatzky Pdf

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.

Author : Ioannis Vourkas,Georgios Ch. Sirakoulis
Publisher : Springer
Page : 241 pages
File Size : 48,9 Mb
Release : 2015-08-26
Category : Technology & Engineering
ISBN : 9783319226477

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Memristor-Based Nanoelectronic Computing Circuits and Architectures by Ioannis Vourkas,Georgios Ch. Sirakoulis Pdf

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.

Author : Emma Hart,Jonathan Timmis,Paul Mitchell,Tadashi Nakano,Foad Dabri
Publisher : Springer
Page : 270 pages
File Size : 40,7 Mb
Release : 2012-08-10
Category : Computers
ISBN : 9783642327117

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Bio-Inspired Models of Network, Information, and Computing Systems by Emma Hart,Jonathan Timmis,Paul Mitchell,Tadashi Nakano,Foad Dabri Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics). The event took place in the city of York, UK, in December 2011. Bionetics main objective is to bring bio-inspired paradigms into computer engineering and networking, and to enhance the fruitful interactions between these fields and biology. The papers of the conference were accepted in 2 categories: full papers and work-in progress. Full papers describe significant advances in the Bionetics field, while work-in-progress papers present an opportunity to discuss breaking research which is currently being evaluated. The topics are ranging from robotic coordination to attack detection in peer-to-peer networks, biological mechanisms including evolution, flocking and artificial immune systems, and nano-scale communication and networking.

Author : Evgeny Katz
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 50,6 Mb
Release : 2019-10-07
Category : Science
ISBN : 9783527345700

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Enzyme-Based Computing Systems by Evgeny Katz Pdf

This systematic and comprehensive overview of enzyme-based biocomputing is an excellent resource for scientists and engineers working on the design, study and applications of enzyme-logic systems.

Author : Calin Ciufudean
Publisher : BoD – Books on Demand
Page : 126 pages
File Size : 47,9 Mb
Release : 2018-10-03
Category : Mathematics
ISBN : 9781789841152

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Advances in Memristor Neural Networks by Calin Ciufudean Pdf

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.

Author : Jordi Suñé
Publisher : MDPI
Page : 244 pages
File Size : 51,8 Mb
Release : 2020-04-09
Category : Technology & Engineering
ISBN : 9783039285761

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Memristors for Neuromorphic Circuits and Artificial Intelligence Applications by Jordi Suñé Pdf

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.