Memristive Devices for Brain Inspired Computing

Download or Read online Memristive Devices for Brain Inspired Computing full in PDF, ePub and kindle. This book written by Sabina Spiga and published by Woodhead Publishing which was released on 12 June 2020 with total pages 564. We cannot guarantee that Memristive Devices for Brain Inspired Computing book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Memristive Devices for Brain Inspired Computing
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Publisher : Woodhead Publishing
Release Date :
ISBN : 9780081027875
Pages : 564 pages
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Download or Read Online Memristive Devices for Brain Inspired Computing in PDF, Epub and Kindle

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

Memristive Devices for Brain Inspired Computing

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,

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Neuromorphic Devices for Brain Inspired Computing

This book provides comprehensive and timely summary on the most recent achievements on neuromorphic devices based on five kinds of materials/configurations and two exciting and promising applications of this area.

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Memristive Neuromorphics  Materials  Devices  Circuits  Architectures  Algorithms and their Co Design

Download or read online Memristive Neuromorphics Materials Devices Circuits Architectures Algorithms and their Co Design written by Huanglong Li,J. Joshua Yang,Hongsik Jeong, published by Frontiers Media SA which was released on 2022-02-21. Get Memristive Neuromorphics Materials Devices Circuits Architectures Algorithms and their Co Design Books now! Available

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Resistive Switching

With its comprehensive coverage, this reference introduces readers to the wide topic of resistance switching, providing the knowledge, tools, and methods needed to understand, characterize and apply resistive switching memories. Starting with those materials that display resistive switching behavior, the book explains the basics of resistive switching as well as

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Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions

Download or read online Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions written by Erika Covi,Elisa Donati,Stefano Brivio,Hadi Heidari, published by Frontiers Media SA which was released on 2022-04-26. Get Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions Books now!

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Memristor Networks

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,

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Sub Micron Semiconductor Devices

This comprehensive reference text discusses novel semiconductor devices, including nanostructure field-effect transistors, photodiodes, high electron mobility transistors, and oxide-based devices. The text covers submicron semiconductor devices, device modeling, novel materials for devices, novel semiconductor devices, optimization techniques, and their application in detail. It covers such important topics as negative capacitance

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Handbook of Memristor Networks

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

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Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

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

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Organic Flexible Electronics

Organic Electronics is a novel field of electronics that has gained an incredible attention over the past few decades. New materials, device architectures and applications have been continuously introduced by the academic and also industrial communities, and novel topics have raised strong interest in such communities, as molecular doping, thermoelectrics,

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Celebrating the International Year of the Periodic Table  Beyond Mendeleev 150

Download or read online Celebrating the International Year of the Periodic Table Beyond Mendeleev 150 written by Mikhail V. Kurushkin,W. H. Eugen Schwarz,Eugene A. Goodilin, published by Frontiers Media SA which was released on 2021-01-11. Get Celebrating the International Year of the Periodic Table Beyond Mendeleev 150 Books now!

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Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications

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

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Handbook of Unconventional Computing

Did you know that computation can be implemented with cytoskeleton networks, chemical reactions, liquid marbles, plants, polymers and dozens of other living and inanimate substrates? Do you know what is reversible computing or a DNA microscopy? Are you aware that randomness aids computation? Would you like to make logical circuits

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Frontiers in Memristive Materials for Neuromorphic Processing Applications

Current von Neumann style computing is energy inefficient and bandwidth limited as information is physically shuttled via electrons between processor, short term non-volatile memory, and long-term storage. Biologically inspired neuromorphic computing, with its inherent autonomous learning capabilities and much lower power requirements based on analog processing, is seen as an

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Memristor and Memristive Neural Networks

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

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