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Frontiers In Memristive Materials For Neuromorphic Processing Applications
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Author :National Academies of Sciences Engineering and Medicine Publisher : ISBN 13 :9780309683197 Total Pages : pages Book Rating :4.6/5 (831 download)
Book Synopsis Frontiers in Memristive Materials for Neuromorphic Processing Applications by : National Academies of Sciences Engineering and Medicine
Download or read book Frontiers in Memristive Materials for Neuromorphic Processing Applications written by National Academies of Sciences Engineering and Medicine and published by . This book was released on 2021-09-22 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 avenue for overcoming these limitations. The development of nanoelectronic memory resistors, or memristors, is essential to neuromorphic architectures as they allow logic-based elements for information processing to be combined directly with nonvolatile memory for efficient emulation of neurons and synapses found in the brain. Memristors are typically composed of a switchable material with nonlinear hysteretic behavior sandwiched between two conducting encoding elements. The design, dynamic control, scaling and fundamental understanding of these materials is essential for establishing memristive devices. To explore the state-of-the-art in the materials fundamentally underlying memristor technologies: their science, their mechanisms and their functional imperatives to realize neuromorphic computing machines, the National Academies of Sciences, Engineering, and Medicine's Board on Physics and Astronomy convened a workshop on February 28, 2020. This publication summarizes the presentation and discussion of the workshop.
Author :National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Physics and Astronomy Publisher : ISBN 13 :9780309683203 Total Pages :103 pages Book Rating :4.6/5 (832 download)
Book Synopsis Frontiers in Memristive Materials for Neuromorphic Processing Applications by : National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Physics and Astronomy
Download or read book Frontiers in Memristive Materials for Neuromorphic Processing Applications written by National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Physics and Astronomy and published by . This book was released on 2021 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design by : Huanglong Li
Download or read book Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design written by Huanglong Li and published by Frontiers Media SA. This book was released on 2022-02-21 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Neuromorphic Devices for Brain-inspired Computing by : Qing Wan
Download or read book Neuromorphic Devices for Brain-inspired Computing written by Qing Wan and published by John Wiley & Sons. This book was released on 2022-05-16 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications. Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors Practical discussions of neuromorphic devices based on chalcogenide and organic materials In-depth examinations of neuromorphic computing and perceptual systems with emerging devices Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.
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.
Book Synopsis MoS2 Based Memristive Synapses for Neuromorphic Computing by : Adithi Pandrahal Krishnaprasad Sharada
Download or read book MoS2 Based Memristive Synapses for Neuromorphic Computing written by Adithi Pandrahal Krishnaprasad Sharada and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain inspired computing enabled by memristors have gained prominence over the years due to its nano-scale footprint, reduced complexity for implementing synapses and neurons. Several demonstrations show two-dimensional (2D) materials as a promising platform for realization of robust and energy-efficient memristive synapses. Ideally, a synapse should exhibit low cycle-to-cycle (C-C) and device-to-device (D-D) variability along with high maximum /minimum conductance (G[subscript max]/G[subscript min]) ratio, linearity and symmetry in weight update for obtaining high learning accuracy in neural networks (NNs). However, the demonstration of neuromorphic circuits using conventional materials systems has been limited by high C-C and D-D variability and non-linearity in the weight updates. In this study, we have realized robust memristive synapses using 2D molybdenum disulfide (MoS2) to address the concerns like high variability and non-linear weight update and asymmetry. We have utilized engineering techniques like electrode and stack engineering to realize ultra-low variability and linear weight update in MoS2 synapses. The ultra-low C-C and D-D variability in SET voltage, RESET power and weight update is demonstrated in Au/MoS2/Ti/Au synapses. Further, these synapses were integrated with MoS2 leaky-integrate and fire (LIF) neurons to realize AND, OR and NOT logic gates proving the viability of these synapses for in-memory computing. However, these MoS2 synapses suffer from low G[subscript max]/G[subscript min] ratio. We have employed stack engineering to increase G[subscript max]/G[subscript min] ratio while preserving low variability. In that regard, the active medium is modified to a heterogenous stack of MoS2/SiO[subscript x] with Ti/Au bottom and top electrodes. We observe an increase in the G[subscript max]/G[subscript min] ratio from 2 to ~10. Further, electrode engineering is used to realize graphene/MoS2/SiO[subscript x]/Ni to obtain linear weight update with identical pulses essential for online training of NNs. This work substantiates the necessity of engineering techniques to implement essential synaptic characteristics like ultra-low variability and linear and symmetric weight update. substantiates the necessity of engineering techniques to implement essential synaptic characteristics like ultra-low variability and linear and symmetric weight update.
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
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 716 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.
Book Synopsis Synaptic Plasticity for Neuromorphic Systems by : Christian Mayr
Download or read book Synaptic Plasticity for Neuromorphic Systems written by Christian Mayr and published by Frontiers Media SA. This book was released on 2016-06-26 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most striking properties of biological systems is their ability to learn and adapt to ever changing environmental conditions, tasks and stimuli. It emerges from a number of different forms of plasticity, that change the properties of the computing substrate, mainly acting on the modification of the strength of synaptic connections that gate the flow of information across neurons. Plasticity is an essential ingredient for building artificial autonomous cognitive agents that can learn to reliably and meaningfully interact with the real world. For this reason, the neuromorphic community at large has put substantial effort in the design of different forms of plasticity and in putting them to practical use. These plasticity forms comprise, among others, Short Term Depression and Facilitation, Homeostasis, Spike Frequency Adaptation and diverse forms of Hebbian learning (e.g. Spike Timing Dependent Plasticity). This special research topic collects the most advanced developments in the design of the diverse forms of plasticity, from the single circuit to the system level, as well as their exploitation in the implementation of cognitive systems.
Book Synopsis Physical neuromorphic computing and its industrial applications by : Toshiyuki Yamane
Download or read book Physical neuromorphic computing and its industrial applications written by Toshiyuki Yamane and published by Frontiers Media SA. This book was released on 2023-08-02 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Celebrating the International Year of the Periodic Table: Beyond Mendeleev 150 by : Mikhail V. Kurushkin
Download or read book Celebrating the International Year of the Periodic Table: Beyond Mendeleev 150 written by Mikhail V. Kurushkin and published by Frontiers Media SA. This book was released on 2021-01-11 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Memristors - The Fourth Fundamental Circuit Element - Theory, Device, and Applications by : Yao-Feng Chang
Download or read book Memristors - The Fourth Fundamental Circuit Element - Theory, Device, and Applications written by Yao-Feng Chang and published by BoD – Books on Demand. This book was released on 2024-06-12 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents excellent comprehensive and interdisciplinary research on memristor devices and their corresponding applications. The authors discuss a wide range of topics, including material and physical modeling, materials physics and analytics, devices in miniature scale, advanced functional circuits, high-speed computing systems and integration for logic applications, other novel emerging device concepts and circuit schemes, and much more.
Book Synopsis Celebrating 1 year of Frontiers in Electronic Materials by : Ctirad Uher
Download or read book Celebrating 1 year of Frontiers in Electronic Materials written by Ctirad Uher and published by Frontiers Media SA. This book was released on 2024-01-09 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Spiking Neural Network Learning, Benchmarking, Programming and Executing by : Guoqi Li
Download or read book Spiking Neural Network Learning, Benchmarking, Programming and Executing written by Guoqi Li and published by Frontiers Media SA. This book was released on 2020-06-05 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions by : Erika Covi
Download or read book Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions written by Erika Covi and published by Frontiers Media SA. This book was released on 2022-04-26 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Towards Neuroscience-Inspired Intelligent Computing: Theory, Methods, and Applications by : Di Wu
Download or read book Towards Neuroscience-Inspired Intelligent Computing: Theory, Methods, and Applications written by Di Wu and published by Frontiers Media SA. This book was released on 2023-04-03 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Event-Based Neuromorphic Systems by : Shih-Chii Liu
Download or read book Event-Based Neuromorphic Systems written by Shih-Chii Liu and published by John Wiley & Sons. This book was released on 2015-02-16 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
