Memristor And Memristive Neural Networks

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Memristor and Memristive Neural Networks

Author : Alex James
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.

Memristor and Memristive Neural Networks

Author : Alex Pappachen James
Publisher :
ISBN 13 : 9789535140092
Total Pages : 324 pages
Book Rating : 4.1/5 (4 download)

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Book Synopsis Memristor and Memristive Neural Networks by : Alex Pappachen James

Download or read book Memristor and Memristive Neural Networks written by Alex Pappachen James and published by . This book was released on 2018 with total page 324 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.

Memristor Networks

Author : Andrew Adamatzky
Publisher : Springer Science & Business Media
ISBN 13 : 3319026305
Total Pages : 720 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 720 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.

Handbook of Memristor Networks

Author : Leon Chua
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

Author : Robert Kozma
Publisher : Springer Science & Business Media
ISBN 13 : 9400744919
Total Pages : 320 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 320 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.

Deep Learning Classifiers with Memristive Networks

Author : Alex Pappachen James
Publisher : Springer
ISBN 13 : 3030145247
Total Pages : 213 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Deep Learning Classifiers with Memristive Networks by : Alex Pappachen James

Download or read book Deep Learning Classifiers with Memristive Networks written by Alex Pappachen James and published by Springer. This book was released on 2019-04-08 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Memristor Neural Networks

Author : Calin Ciufudean
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.

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Author : Jordi Suñé
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.

Advances in Memristors, Memristive Devices and Systems

Author : Sundarapandian Vaidyanathan
Publisher : Springer
ISBN 13 : 3319517244
Total Pages : 511 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 511 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 and Memristive Systems

Author : Ronald Tetzlaff
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.

Stability Analysis and State Estimation of Memristive Neural Networks

Author : Hongjian Liu
Publisher : CRC Press
ISBN 13 : 1000415007
Total Pages : 237 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Stability Analysis and State Estimation of Memristive Neural Networks by : Hongjian Liu

Download or read book Stability Analysis and State Estimation of Memristive Neural Networks written by Hongjian Liu and published by CRC Press. This book was released on 2021-08-16 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Advances in Memristor Neural Networks - Modeling and Applications

Author : Calin Ciufudean
Publisher :
ISBN 13 : 9781789841169
Total Pages : 124 pages
Book Rating : 4.8/5 (411 download)

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Book Synopsis Advances in Memristor Neural Networks - Modeling and Applications by : Calin Ciufudean

Download or read book Advances in Memristor Neural Networks - Modeling and Applications written by Calin Ciufudean and published by . This book was released on 2018 with total page 124 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.

Memristors

Author : Alex James
Publisher : BoD – Books on Demand
ISBN 13 : 1789840732
Total Pages : 133 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Memristors by : Alex James

Download or read book Memristors written by Alex James and published by BoD – Books on Demand. This book was released on 2020-05-27 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Memristive Devices for Brain-Inspired Computing

Author : Sabina Spiga
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

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Author : Christos Volos
Publisher : Academic Press
ISBN 13 : 0128232021
Total Pages : 570 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications by : Christos Volos

Download or read book Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications written by Christos Volos and published by Academic Press. This book was released on 2021-06-17 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling. As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields. Covers a broad range of interdisciplinary topics between mathematics, circuits, realizations, and practical applications related to nonlinear dynamical systems, nanotechnology, analog and digital systems, computer science and artificial intelligence Presents recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) Includes interesting applications of mem-elements in nonlinear dynamical systems, analog and digital systems, neuromorphic circuits, computer science and artificial intelligence

2021 22nd International Symposium on Quality Electronic Design (ISQED)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728176420
Total Pages : pages
Book Rating : 4.1/5 (764 download)

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Book Synopsis 2021 22nd International Symposium on Quality Electronic Design (ISQED) by : IEEE Staff

Download or read book 2021 22nd International Symposium on Quality Electronic Design (ISQED) written by IEEE Staff and published by . This book was released on 2021-04-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The 22nd International Symposium on Quality Electronic Design (ISQED 21) is the premier interdisciplinary and multidisciplinary Electronic Design conference?bridges the gap among Electronic Semiconductor ecosystem members providing electronic design tools, integrated circuit technologies, semiconductor technology,packaging, assembly & test to achieve total design quality

Recent Advances of Neural Network Models and Applications

Author : Simone Bassis
Publisher : Springer Science & Business Media
ISBN 13 : 3319041290
Total Pages : 446 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Recent Advances of Neural Network Models and Applications by : Simone Bassis

Download or read book Recent Advances of Neural Network Models and Applications written by Simone Bassis and published by Springer Science & Business Media. This book was released on 2013-12-19 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects a selection of contributions which has been presented at the 23rd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Vietri sul Mare, Salerno, Italy during May 23-24, 2013. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Society (ENNS) and IEEE Computational Intelligence Society (CIS). The book – as well as the workshop- is organized in two main components, a special session and a group of regular sessions featuring different aspects and point of views of artificial neural networks, artificial and natural intelligence, as well as psychological and cognitive theories for modeling human behaviors and human machine interactions, including Information Communication applications of compelling interest.