Memristive Devices for Brain Inspired Computing

Memristive Devices for Brain Inspired Computing
Author: Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran
Publsiher: Woodhead Publishing
Total Pages: 564
Release: 2020-06-12
ISBN 10: 0081027877
ISBN 13: 9780081027875
Language: EN, FR, DE, ES & NL

Memristive Devices for Brain Inspired Computing Book Review:

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

Resistive Switching

Resistive Switching
Author: Daniele Ielmini,Rainer Waser
Publsiher: John Wiley & Sons
Total Pages: 784
Release: 2015-12-28
ISBN 10: 3527680942
ISBN 13: 9783527680948
Language: EN, FR, DE, ES & NL

Resistive Switching Book Review:

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 switching mechanisms and models. An in-depth discussion of memory reliability is followed by chapters on memory cell structures and architectures, while a section on logic gates rounds off the text. An invaluable self-contained book for materials scientists, electrical engineers and physicists dealing with memory research and development.

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
Author: Jordi Suñé
Publsiher: MDPI
Total Pages: 244
Release: 2020-04-09
ISBN 10: 3039285769
ISBN 13: 9783039285761
Language: EN, FR, DE, ES & NL

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications Book Review:

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.

Handbook of Memristor Networks

Handbook of Memristor Networks
Author: Leon Chua,Georgios Ch. Sirakoulis,Andrew Adamatzky
Publsiher: Springer Nature
Total Pages: 1368
Release: 2019-11-12
ISBN 10: 331976375X
ISBN 13: 9783319763750
Language: EN, FR, DE, ES & NL

Handbook of Memristor Networks Book Review:

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.

Memristor and Memristive Neural Networks

Memristor and Memristive Neural Networks
Author: Alex James
Publsiher: BoD – Books on Demand
Total Pages: 324
Release: 2018-04-04
ISBN 10: 9535139479
ISBN 13: 9789535139478
Language: EN, FR, DE, ES & NL

Memristor and Memristive Neural Networks Book Review:

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.

Celebrating the International Year of the Periodic Table Beyond Mendeleev 150

Celebrating the International Year of the Periodic Table  Beyond Mendeleev 150
Author: Mikhail V. Kurushkin,W. H. Eugen Schwarz,Eugene A. Goodilin
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2021-01-11
ISBN 10: 2889663191
ISBN 13: 9782889663194
Language: EN, FR, DE, ES & NL

Celebrating the International Year of the Periodic Table Beyond Mendeleev 150 Book Review:

Memristor Networks

Memristor Networks
Author: Andrew Adamatzky,Leon Chua
Publsiher: Springer Science & Business Media
Total Pages: 720
Release: 2013-12-18
ISBN 10: 3319026305
ISBN 13: 9783319026305
Language: EN, FR, DE, ES & NL

Memristor Networks Book Review:

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.

Organic Flexible Electronics

Organic Flexible Electronics
Author: Piero Cosseddu,Mario Caironi
Publsiher: Woodhead Publishing
Total Pages: 664
Release: 2020-10-07
ISBN 10: 012818891X
ISBN 13: 9780128188910
Language: EN, FR, DE, ES & NL

Organic Flexible Electronics Book Review:

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, bioelectronics and many others. Organic Flexible Electronics is mainly divided into three sections. The first part is focused on the fundamentals of organic electronics, such as charge transport models in these systems and new approaches for the design and synthesis of novel molecules. The first section addresses the main challenges that are still open in this field, including the important role of interfaces for achieving high-performing devices or the novel approaches employed for improving reliability issues. The second part discusses the most innovative devices which have been developed in recent years, such as devices for energy harvesting, flexible batteries, high frequency circuits, and flexible devices for tattoo electronics and bioelectronics. Finally the book reviews the most important applications moving from more standard flexible back panels to wearable and textile electronics and more futuristic applications like ingestible systems. Reviews the fundamental properties and methods for optimizing organic electronic materials including chemical doping and techniques to address stability issues; Discusses the most promising organic electronic devices for energy, electronics, and biomedical applications; Addresses key applications of organic electronic devices in imagers, wearable electronics, bioelectronics.

Memristors

Memristors
Author: Alex James
Publsiher: BoD – Books on Demand
Total Pages: 132
Release: 2020-05-27
ISBN 10: 1789840732
ISBN 13: 9781789840735
Language: EN, FR, DE, ES & NL

Memristors Book Review:

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.

Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications

Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications
Author: Christos Volos,Viet-Thanh Pham
Publsiher: Academic Press
Total Pages: 568
Release: 2021-07-01
ISBN 10: 0128232021
ISBN 13: 9780128232026
Language: EN, FR, DE, ES & NL

Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications Book Review:

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

Atomic Switch

Atomic Switch
Author: Masakazu Aono
Publsiher: Springer Nature
Total Pages: 266
Release: 2020-03-02
ISBN 10: 303034875X
ISBN 13: 9783030348755
Language: EN, FR, DE, ES & NL

Atomic Switch Book Review:

Written by the inventors and leading experts of this new field, the book results from the International Symposium on “Atomic Switch: Invention, Practical use and Future Prospects” which took place in Tsukuba, Japan on March 27th - 28th, 2017. The book chapters cover the different trends from the science and technology of atomic switches to their applications like brain-type information processing, artificial intelligence (AI) and completely novel functional electronic nanodevices. The current practical uses of the atomic switch are also described. As compared with the conventional semiconductor transistor switch, the atomic switch is more compact (~1/10) with much lower power consumption (~1/10) and scarcely influenced by strong electromagnetic noise and radiation including cosmic rays in space (~1/100). As such, this book is of interest to researchers, scholars and students willing to explore new materials, to refine the nanofabrication methods and to explore new and efficient device architectures.

Handbook of Graphene

Handbook of Graphene
Author: Sulaiman Wadi Harun
Publsiher: John Wiley & Sons
Total Pages: 344
Release: 2019-06-14
ISBN 10: 1119469791
ISBN 13: 9781119469797
Language: EN, FR, DE, ES & NL

Handbook of Graphene Book Review:

The seventh volume in a series of handbooks on graphene research and applications The Handbook of Graphene, Volume 7: Biomaterials presents an overview of various graphene research initiatives and specific biomedical applications, where the properties of graphene are used differently. The book shares information on how graphene and graphene-based materials are utilized for the following types of applications: bio-targeting; medical and biomedical; drug delivery; antibacterial; and biological, biosensing and bioimaging. Topics covered include the role of graphene-based materials in: regenerative medicine; resistive memories and transistors; and implants in biomedicine. The impact of graphene-based biomaterials on biomedical applications is discussed, as are graphene-based systems in the delivery of therapeutics to the brain and central nervous system.

Advances in Memristor Neural Networks

Advances in Memristor Neural Networks
Author: Calin Ciufudean
Publsiher: BoD – Books on Demand
Total Pages: 124
Release: 2018-10-03
ISBN 10: 1789841151
ISBN 13: 9781789841152
Language: EN, FR, DE, ES & NL

Advances in Memristor Neural Networks Book Review:

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.

Spiking Neuron Models

Spiking Neuron Models
Author: Wulfram Gerstner,Werner M. Kistler
Publsiher: Cambridge University Press
Total Pages: 480
Release: 2002-08-15
ISBN 10: 9780521890793
ISBN 13: 0521890799
Language: EN, FR, DE, ES & NL

Spiking Neuron Models Book Review:

This is an introduction to spiking neurons for advanced undergraduate or graduate students. It can be used with courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual framework. No prior knowledge beyond undergraduate mathematics is necessary to follow the book. Thus it should appeal to students or researchers in physics, mathematics, or computer science interested in biology; moreover it will also be useful for biologists working in mathematical modeling.

Neuronal Dynamics

Neuronal Dynamics
Author: Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski
Publsiher: Cambridge University Press
Total Pages: 590
Release: 2014-07-24
ISBN 10: 1107060834
ISBN 13: 9781107060838
Language: EN, FR, DE, ES & NL

Neuronal Dynamics Book Review:

This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Ferroelectric Memories

Ferroelectric Memories
Author: James F. Scott
Publsiher: Springer Science & Business Media
Total Pages: 248
Release: 2013-06-29
ISBN 10: 3662043076
ISBN 13: 9783662043073
Language: EN, FR, DE, ES & NL

Ferroelectric Memories Book Review:

This is the first comprehensive book on ferroelectric memories which contains chapters on device design, processing, testing, and device physics, as well as on breakdown, leakage currents, switching mechanisms, and fatigue. State-of-the-art device designs are included and illustrated among the books many figures. More than 500 up-to-date references and 76 problems make it useful as a research reference for physicists, engineers and students.

Memristor Based Nanoelectronic Computing Circuits and Architectures

Memristor Based Nanoelectronic Computing Circuits and Architectures
Author: Ioannis Vourkas,Georgios Ch. Sirakoulis
Publsiher: Springer
Total Pages: 241
Release: 2015-08-26
ISBN 10: 3319226479
ISBN 13: 9783319226477
Language: EN, FR, DE, ES & NL

Memristor Based Nanoelectronic Computing Circuits and Architectures Book Review:

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.

Event Based Neuromorphic Systems

Event Based Neuromorphic Systems
Author: Shih-Chii Liu,Tobi Delbruck,Giacomo Indiveri,Rodney Douglas,Adrian Whatley
Publsiher: John Wiley & Sons
Total Pages: 440
Release: 2015-02-16
ISBN 10: 0470018496
ISBN 13: 9780470018491
Language: EN, FR, DE, ES & NL

Event Based Neuromorphic Systems Book Review:

Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain's efficient data-driven communication design, which is key to its quick responses and remarkable capabilities. This cross-disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems. These include vision and auditory sensors as well as neuronal processing and learning circuits that implement models of nervous systems. Techniques for building multi-chip scalable systems are considered throughout the book, including methods for dealing with transistor mismatch, extensive discussions of communication and interfacing, and making systems that operate in the real world. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. Chapters are written by founding experts and have been extensively edited for overall coherence. This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems. Key features: Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering. Presents examples of practical applications of neuromorphic design principles. Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges.

Spike timing dependent plasticity

Spike timing dependent plasticity
Author: Henry Markram,Wulfram Gerstner,Per Jesper Sjöström
Publsiher: Frontiers E-books
Total Pages: 135
Release: 2021
ISBN 10: 2889190439
ISBN 13: 9782889190430
Language: EN, FR, DE, ES & NL

Spike timing dependent plasticity Book Review:

Hebb's postulate provided a crucial framework to understand synaptic alterations underlying learning and memory. Hebb's theory proposed that neurons that fire together, also wire together, which provided the logical framework for the strengthening of synapses. Weakening of synapses was however addressed by "not being strengthened", and it was only later that the active decrease of synaptic strength was introduced through the discovery of long-term depression caused by low frequency stimulation of the presynaptic neuron. In 1994, it was found that the precise relative timing of pre and postynaptic spikes determined not only the magnitude, but also the direction of synaptic alterations when two neurons are active together. Neurons that fire together may therefore not necessarily wire together if the precise timing of the spikes involved are not tighly correlated. In the subsequent 15 years, Spike Timing Dependent Plasticity (STDP) has been found in multiple brain brain regions and in many different species. The size and shape of the time windows in which positive and negative changes can be made vary for different brain regions, but the core principle of spike timing dependent changes remain. A large number of theoretical studies have also been conducted during this period that explore the computational function of this driving principle and STDP algorithms have become the main learning algorithm when modeling neural networks. This Research Topic will bring together all the key experimental and theoretical research on STDP.

Neuromorphic Photonics

Neuromorphic Photonics
Author: Paul R. Prucnal,Bhavin J. Shastri
Publsiher: CRC Press
Total Pages: 412
Release: 2017-05-08
ISBN 10: 1498725244
ISBN 13: 9781498725248
Language: EN, FR, DE, ES & NL

Neuromorphic Photonics Book Review:

This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.