Memristive Devices For Brain Inspired Computing

✏Book Title : Memristive Devices for Brain Inspired Computing
✏Author : Sabina Spiga
✏Publisher : Woodhead Publishing
✏Release Date : 2020-06-12
✏Pages : 564
✏ISBN : 9780081027875
✏Available Language : English, Spanish, And French

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✏Memristive Devices for Brain Inspired Computing Book Summary : 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

✏Book Title : Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
✏Author : Jordi Suñé
✏Publisher : MDPI
✏Release Date : 2020-04-09
✏Pages : 244
✏ISBN : 9783039285761
✏Available Language : English, Spanish, And French

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✏Memristors for Neuromorphic Circuits and Artificial Intelligence Applications Book Summary : 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.

✏Book Title : Organic Flexible Electronics
✏Author : Piero Cosseddu
✏Publisher : Woodhead Publishing
✏Release Date : 2020-10-07
✏Pages : 664
✏ISBN : 9780128188910
✏Available Language : English, Spanish, And French

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✏Organic Flexible Electronics Book Summary : 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.

✏Book Title : Real Time Modelling and Processing for Communication Systems
✏Author : Muhammad Alam
✏Publisher : Springer
✏Release Date : 2017-12-27
✏Pages : 282
✏ISBN : 9783319722153
✏Available Language : English, Spanish, And French

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✏Real Time Modelling and Processing for Communication Systems Book Summary : This book presents cutting-edge work on real-time modelling and processing, a highly active research field in both the research and industrial domains. Going beyond conventional real-time systems, major efforts are required to develop accurate and computational efficient real-time modelling algorithms and design automation tools that reflect the technological advances in high-speed and ultra-low-power transceiver communication architectures based on nanoscale devices. The book addresses basic and more advanced topics, such as I/O buffer circuits for ensuring reliable chip-to-chip communication, I/O buffer behavioural modelling, multiport empirical models for memory interfaces, compact behavioural modelling for memristive devices, and resource reservation modelling for distributed embedded systems. The respective chapters detail new research findings, new models, algorithms, implementations and simulations of the above-mentioned topics. As such, the book will help both graduate students and researchers understand the latest research into real-time modelling and processing.

✏Book Title : Handbook of Memristor Networks
✏Author : Leon Chua
✏Publisher : Springer Nature
✏Release Date : 2019-11-12
✏Pages : 1368
✏ISBN : 9783319763750
✏Available Language : English, Spanish, And French

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✏Handbook of Memristor Networks Book Summary : 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.

✏Book Title : Mimicking Synaptic Plasticity and Neural Network Using Memtranstors
✏Author :
✏Publisher :
✏Release Date : 2018
✏Pages :
✏ISBN : OCLC:1051427877
✏Available Language : English, Spanish, And French

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✏Mimicking Synaptic Plasticity and Neural Network Using Memtranstors Book Summary : Abstract: Artificial synaptic devices that mimic the functions of biological synapses have drawn enormous interest because of their potential in developing brain‐inspired computing. Current studies are focusing on memristive devices in which the change of the conductance state is used to emulate synaptic behaviors. Here, a new type of artificial synaptic devices based on the memtranstor is demonstrated, which is a fundamental circuit memelement in addition to the memristor, memcapacitor, and meminductor. The state of transtance (presented by the magnetoelectric voltage) in memtranstors acting as the synaptic weight can be tuned continuously with a large number of nonvolatile levels by engineering the applied voltage pulses. Synaptic behaviors including the long‐term potentiation, long‐term depression, and spiking‐time‐dependent plasticity are implemented in memtranstors made of Ni/0.7Pb(Mg1/3 Nb2/3 )O3 ‐0.3PbTiO3 /Ni multiferroic heterostructures. Simulations reveal the capability of pattern learning in a memtranstor network. The work elucidates the promise of memtranstors as artificial synaptic devices with low energy consumption. Abstract : An artifical synaptic device employing magnetoelectric effects is demonstrated based on memtranstors made of Ni/0.7Pb(Mg1/3 Nb2/3 )O3 –0.3PbTiO3 /Ni multiferroic heterostructures. The memtranstance presented by the magnetoelectric voltage serves as the synaptic weight and is tuned with a large number of nonvolatile levels to mimic the functionality of biological synapses. These results reveal the great potential of memtranstors as artificial synaptic devices with low energy consumption.

✏Book Title : The Synthesis of Memristive Neuromorphic Circuits
✏Author : Austin Richard Wyer
✏Publisher :
✏Release Date : 2017
✏Pages : 95
✏ISBN : OCLC:1102417159
✏Available Language : English, Spanish, And French

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✏The Synthesis of Memristive Neuromorphic Circuits Book Summary : As Moores Law has come to a halt, it has become necessary to explore alternative forms of computation that are not limited in the same ways as traditional CMOS technologies and the Von Neumann architecture. Neuromorphic computing, computing inspired by the human brain with neurons and synapses, has been proposed as one of these alternatives. Memristors, non-volatile devices with adjustable resistances, have emerged as a candidate for implementing neuromorphic computing systems because of their low power and low area overhead. This work presents a C++ simulator for an implementation of a memristive neuromorphic circuit. The simulator is used within a software framework to design and evaluate these circuits. The first chapter provides a background on neuromorphic computing and memristors, explores other neuromorphic circuits and their programming models, and finally presents the software framework for which the simulator was developed. The second chapter presents the C++ simulator and the genetic operators used in the generation of the memristive neuromorphic networks. Next, the third chapter presents a verification of the accuracy of the simulator, and provides some analysis of designs. These analyses focus on variation, the Axon-Hillock neuron model, limited programming resolutions, and online learning mechanisms. Finally, the fourth chapter discusses future considerations. Thus, this thesis presents the C++ simulator as a tool to generate memristive neuromorphic networks. Additionally, it shows how the simulator can be used to understand how the underlying hardware impacts the application level performance of the network.

✏Book Title : Enabling Technologies for Very Large Scale Synaptic Electronics
✏Author : Themis Prodromakis
✏Publisher : Frontiers Media SA
✏Release Date : 2018-07-05
✏Pages :
✏ISBN : 9782889455089
✏Available Language : English, Spanish, And French

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✏Enabling Technologies for Very Large Scale Synaptic Electronics Book Summary : An important part of the colossal effort associated with the understanding of the brain involves using electronics hardware technology in order to reproduce biological behavior in ‘silico’. The idea revolves around leveraging decades of experience in the electronics industry as well as new biological findings that are employed towards reproducing key behaviors of fundamental elements of the brain (notably neurons and synapses) at far greater speed-scale products than any software-only implementation can achieve for the given level of modelling detail. So far, the field of neuromorphic engineering has proven itself as a major source of innovation towards the ‘silicon brain’ goal, with the methods employed by its community largely focused on circuit design (analogue, digital and mixed signal) and standard, commercial, Complementary Metal-Oxide Silicon (CMOS) technology as the preferred `tools of choice’ when trying to simulate or emulate biological behavior. However, alongside the circuit-oriented sector of the community there exists another community developing new electronic technologies with the express aim of creating advanced devices, beyond the capabilities of CMOS, that can intrinsically simulate neuron- or synapse-like behavior. A notable example concerns nanoelectronic devices responding to well-defined input signals by suitably changing their internal state (‘weight’), thereby exhibiting `synapse-like’ plasticity. This is in stark contrast to circuit-oriented approaches where the `synaptic weight’ variable has to be first stored, typically as charge on a capacitor or digitally, and then appropriately changed via complicated circuitry. The shift of very much complexity from circuitry to devices could potentially be a major enabling factor for very-large scale `synaptic electronics’, particularly if the new devices can be operated at much lower power budgets than their corresponding 'traditional' circuit replacements. To bring this promise to fruition, synergy between the well-established practices of the circuit-oriented approach and the vastness of possibilities opened by the advent of novel nanoelectronic devices with rich internal dynamics is absolutely essential and will create the opportunity for radical innovation in both fields. The result of such synergy can be of potentially staggering impact to the progress of our efforts to both simulate the brain and ultimately understand it. In this Research Topic, we wish to provide an overview of what constitutes state-of-the-art in terms of enabling technologies for very large scale synaptic electronics, with particular stress on innovative nanoelectronic devices and circuit/system design techniques that can facilitate the development of very large scale brain-inspired electronic systems

✏Book Title : Circuits and Systems for Biomedical Applications
✏Author : Heidari, Hadi
✏Publisher : River Publishers
✏Release Date : 2018-12-05
✏Pages : 182
✏ISBN : 9788770220538
✏Available Language : English, Spanish, And French

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✏Circuits and Systems for Biomedical Applications Book Summary : Circuits and Systems for Biomedical Applications-UKCAS 2018 covers several advanced topics in the area of Devices, Analog and Mixed-Signal Circuits and Systems for Biomedical Applications. The fundamental aspects of these topics are discussed, and state-of-the-art developments are presented. The book proceeds the 1st United Kingdom Circuits and Systems (UKCAS 2018) Workshop. It addresses multidisciplinary theme areas such as Biosensing, Memristors, next-generation medical diagnostics, neural-inspired circuits, neural implants, neuro-prostheses, prosthetic hand and neuro-rehabilitation. Having perceived the device and circuit assets for such technologies and knowing what challenges these present for the biomedical scientists and engineers, integrated circuits for addressable biosensing are reviewed in the first chapter. The Second Chapter is harnessing the power of the brain using metal­oxide Memristors. The third chapter contains construction of an endoscopic capsule for the diagnostics of dysmotilities in the gastro­intestinal track. The next three chapters are on neural interfaces: analogue building blocks of neural inspired circuits are described in the fourth chapter while chapter five focuses on circuits for bio-potential recording from the brain. Networked Integrated circuits and their use in creating advanced implantable stimulation systems will be discussed in chapter six. This topic will be completed by circuits and systems for control of Prosthetic Hands in seventh chapter and genetically enhanced brain­implants for neuro-rehabilitation in chapter eight.