Memristor And Memristive Neural Networks

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Memristor and Memristive Neural Networks

Alex James
Memristor and Memristive Neural Networks Book PDF

Author : Alex James
Publisher : BoD – Books on Demand
Page : 326 pages
File Size : 48,8 Mb
Release : 2018-04-04
Category : Computers
ISBN : 9789535139478

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Memristor and Memristive Neural Networks by Alex James Pdf

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.

Memristor and Memristive Neural Networks

Alex Pappachen James
Memristor and Memristive Neural Networks Book PDF

Author : Alex Pappachen James
Publisher : Unknown
Page : 324 pages
File Size : 46,6 Mb
Release : 2018
Category : Electronic computers. Computer science
ISBN : 9535140094

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Memristor and Memristive Neural Networks by Alex Pappachen James Pdf

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.

Deep Learning Classifiers with Memristive Networks

Alex Pappachen James
Deep Learning Classifiers with Memristive Networks Book PDF

Author : Alex Pappachen James
Publisher : Springer
Page : 213 pages
File Size : 52,6 Mb
Release : 2019-04-08
Category : Technology & Engineering
ISBN : 9783030145248

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Deep Learning Classifiers with Memristive Networks by Alex Pappachen James Pdf

This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks. It then focuses on the design of these neural networks using memristor crossbar architectures in detail. The book integrates the theory with various applications of neuro-memristive circuits and systems. It provides an introductory tutorial on a range of issues in the design, evaluation techniques, and implementations of different deep neural network architectures with memristors.

Memristor Networks

Andrew Adamatzky,Leon Chua
Memristor Networks Book PDF

Author : Andrew Adamatzky,Leon Chua
Publisher : Springer Science & Business Media
Page : 716 pages
File Size : 54,9 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.

Advances in Memristor Neural Networks

Calin Ciufudean
Advances in Memristor Neural Networks Book PDF

Author : Calin Ciufudean
Publisher : BoD – Books on Demand
Page : 126 pages
File Size : 48,5 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.

Advances in Neuromorphic Memristor Science and Applications

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

Author : Robert Kozma,Robinson E. Pino,Giovanni E. Pazienza
Publisher : Springer Science & Business Media
Page : 318 pages
File Size : 40,5 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.

Handbook of Memristor Networks

Leon Chua,Georgios Ch. Sirakoulis,Andrew Adamatzky
Handbook of Memristor Networks Book PDF

Author : Leon Chua,Georgios Ch. Sirakoulis,Andrew Adamatzky
Publisher : Springer Nature
Page : 1368 pages
File Size : 52,5 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.

Stability Analysis and State Estimation of Memristive Neural Networks

Hongjian Liu,Zidong Wang,Lifeng Ma
Stability Analysis and State Estimation of Memristive Neural Networks Book PDF

Author : Hongjian Liu,Zidong Wang,Lifeng Ma
Publisher : CRC Press
Page : 237 pages
File Size : 53,9 Mb
Release : 2021-08-16
Category : Technology & Engineering
ISBN : 9781000415001

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Stability Analysis and State Estimation of Memristive Neural Networks by Hongjian Liu,Zidong Wang,Lifeng Ma Pdf

Unifies existing and emerging concepts concerning delayed discrete memristive neural networks with an emphasis on a variety of network-induced phenomena Captures recent advances of theories, techniques, and applications of delayed discrete memristive neural networks from a network-oriented perspective Provides a series of latest results in two popular yet interrelated areas, stability analysis and state estimation of neural networks Exploits a unified framework for analysis and synthesis by designing new tools and techniques in combination with conventional theories of systems science, control engineering and signal processing Gives simulation examples in each chapter to reflect the engineering practice

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Jordi Suñé
Memristors for Neuromorphic Circuits and Artificial Intelligence Applications Book PDF

Author : Jordi Suñé
Publisher : MDPI
Page : 244 pages
File Size : 47,7 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.

Advances in Memristors, Memristive Devices and Systems

Sundarapandian Vaidyanathan,Christos Volos
Advances in Memristors Memristive Devices and Systems Book PDF

Author : Sundarapandian Vaidyanathan,Christos Volos
Publisher : Springer
Page : 511 pages
File Size : 42,9 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.

Memristive Devices for Brain-Inspired Computing

Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran
Memristive Devices for Brain Inspired Computing Book PDF

Author : Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran
Publisher : Woodhead Publishing
Page : 569 pages
File Size : 47,7 Mb
Release : 2020-06-12
Category : Technology & Engineering
ISBN : 9780081027875

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Memristive Devices for Brain-Inspired Computing by Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran Pdf

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

Advances in Memristor Neural Networks - Modeling and Applications

Calin Ciufudean
Advances in Memristor Neural Networks Modeling and Applications Book PDF

Author : Calin Ciufudean
Publisher : Unknown
Page : 124 pages
File Size : 43,8 Mb
Release : 2018
Category : Mathematics
ISBN : 178984116X

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Advances in Memristor Neural Networks - Modeling and Applications 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.

Memristors and Memristive Systems

Ronald Tetzlaff
Memristors and Memristive Systems Book PDF

Author : Ronald Tetzlaff
Publisher : Springer Science & Business Media
Page : 409 pages
File Size : 44,7 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.

Memristors

Alex James
Memristors Book PDF

Author : Alex James
Publisher : BoD – Books on Demand
Page : 133 pages
File Size : 49,5 Mb
Release : 2020-05-27
Category : Technology & Engineering
ISBN : 9781789840735

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Memristors by Alex James Pdf

This Edited Volume Memristors - Circuits and Applications of Memristor Devices is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of Engineering. The book comprises single chapters authored by various researchers and edited by an expert active in the physical sciences, engineering, and technology research areas. All chapters are complete in itself but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors on physical sciences, engineering, and technology,and open new possible research paths for further novel developments.

Memristor

Yao-Feng Chang
Memristor Book PDF

Author : Yao-Feng Chang
Publisher : BoD – Books on Demand
Page : 180 pages
File Size : 55,6 Mb
Release : 2021-11-17
Category : Technology & Engineering
ISBN : 9781839689567

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Memristor by Yao-Feng Chang Pdf

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.