Neuromorphic Devices For Brain Inspired Computing

Author : Qing Wan,Yi Shi
Publisher : John Wiley & Sons
Page : 258 pages
File Size : 47,6 Mb
Release : 2022-05-16
Category : Technology & Engineering
ISBN : 9783527349791

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Neuromorphic Devices for Brain-inspired Computing by Qing Wan,Yi Shi Pdf

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.

Author : Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran
Publisher : Woodhead Publishing
Page : 569 pages
File Size : 45,6 Mb
Release : 2020-06-12
Category : Technology & Engineering
ISBN : 9780081027875

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Memristive Devices for Brain-Inspired Computing by Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran Pdf

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

Author : Jonathan Mapelli,Giacomo Indiveri,Angelo Arleo
Publisher : Frontiers Media SA
Page : 139 pages
File Size : 50,7 Mb
Release : 2022-03-08
Category : Science
ISBN : 9782889746088

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Brain-Inspired Computing: From Neuroscience to Neuromorphic Electronics driving new forms of Artificial Intelligence by Jonathan Mapelli,Giacomo Indiveri,Angelo Arleo Pdf

Author : Anonim
Publisher : BoD – Books on Demand
Page : 298 pages
File Size : 44,8 Mb
Release : 2023-11-15
Category : Computers
ISBN : 9781803561431

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Neuromorphic Computing by Anonim Pdf

Dive into the cutting-edge world of Neuromorphic Computing, a groundbreaking volume that unravels the secrets of brain-inspired computational paradigms. Spanning neuroscience, artificial intelligence, and hardware design, this book presents a comprehensive exploration of neuromorphic systems, empowering both experts and newcomers to embrace the limitless potential of brain-inspired computing. Discover the fundamental principles that underpin neural computation as we journey through the origins of neuromorphic architectures, meticulously crafted to mimic the brain’s intricate neural networks. Unlock the true essence of learning mechanisms – unsupervised, supervised, and reinforcement learning – and witness how these innovations are shaping the future of artificial intelligence.

Author : Elishai Ezra Tsur
Publisher : CRC Press
Page : 242 pages
File Size : 46,8 Mb
Release : 2021-08-27
Category : Computers
ISBN : 9781000421323

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Neuromorphic Engineering by Elishai Ezra Tsur Pdf

The brain is not a glorified digital computer. It does not store information in registers, and it does not mathematically transform mental representations to establish perception or behavior. The brain cannot be downloaded to a computer to provide immortality, nor can it destroy the world by having its emerged consciousness traveling in cyberspace. However, studying the brain's core computation architecture can inspire scientists, computer architects, and algorithm designers to think fundamentally differently about their craft. Neuromorphic engineers have the ultimate goal of realizing machines with some aspects of cognitive intelligence. They aspire to design computing architectures that could surpass existing digital von Neumann-based computing architectures' performance. In that sense, brain research bears the promise of a new computing paradigm. As part of a complete cognitive hardware and software ecosystem, neuromorphic engineering opens new frontiers for neuro-robotics, artificial intelligence, and supercomputing applications. This book will present neuromorphic engineering from three perspectives: the scientist, the computer architect, and the algorithm designer. We will zoom in and out of the different disciplines, allowing readers with diverse backgrounds to understand and appreciate the field. Overall, the book will cover the basics of neuronal modeling, neuromorphic circuits, neural architectures, event-based communication, and the neural engineering framework. Readers will have the opportunity to understand the different views over the inherently multidisciplinary field of neuromorphic engineering.

Author : Daniele Ielmini,Rainer Waser
Publisher : John Wiley & Sons
Page : 784 pages
File Size : 45,7 Mb
Release : 2015-12-28
Category : Technology & Engineering
ISBN : 9783527680948

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Resistive Switching by Daniele Ielmini,Rainer Waser Pdf

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.

Author : Shih-Chii Liu,Tobi Delbruck,Giacomo Indiveri,Adrian Whatley,Rodney Douglas
Publisher : John Wiley & Sons
Page : 440 pages
File Size : 44,9 Mb
Release : 2015-02-16
Category : Technology & Engineering
ISBN : 9780470018491

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Event-Based Neuromorphic Systems by Shih-Chii Liu,Tobi Delbruck,Giacomo Indiveri,Adrian Whatley,Rodney Douglas Pdf

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.

Author : Pinaki Mazumder,Yalcin Yilmaz,Idongesit Ebong
Publisher : River Publishers Biomedical En
Page : 0 pages
File Size : 55,5 Mb
Release : 2019-03-31
Category : Technology & Engineering
ISBN : 8770220603

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Neuromorphic Circuits for Nanoscale Devices by Pinaki Mazumder,Yalcin Yilmaz,Idongesit Ebong Pdf

Nanoscale devices attracted significant research effort from the industry and academia due to their operation principals being based on different physical properties which provide advantages in the design of certain classes of circuits over conventional CMOS transistors. Neuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide insight into how the operational principles of the nanoscale devices can be utilized for the design of neuromorphic circuits for various applications of non-volatile memory, neural network training/learning, and image processing. The topics discussed in the book include: Nanoscale Crossbar Memory Design Q-Learning and Value Iteration using Nanoscale Devices Image Processing and Computer Vision Applications for Nanoscale Devices Nanoscale Devices based Cellular Nonlinear/Neural Networks

Author : Katrin Amunts,Lucio Grandinetti,Thomas Lippert,Nicolai Petkov
Publisher : Springer
Page : 195 pages
File Size : 49,6 Mb
Release : 2016-12-10
Category : Computers
ISBN : 9783319508627

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Brain-Inspired Computing by Katrin Amunts,Lucio Grandinetti,Thomas Lippert,Nicolai Petkov Pdf

This book constitutes revised selected papers from the Second International Workshop on Brain-Inspired Computing, BrainComp 2015, held in Cetraro, Italy, in July 2015. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with brain structure and function; computational models and brain-inspired computing methods with practical applications; high performance computing; and visualization for brain simulations.

Author : Igor V. Tetko,Věra Kůrková,Pavel Karpov,Fabian Theis
Publisher : Springer Nature
Page : 839 pages
File Size : 47,7 Mb
Release : 2019-09-09
Category : Computers
ISBN : 9783030304874

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Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation by Igor V. Tetko,Věra Kůrková,Pavel Karpov,Fabian Theis Pdf

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Author : Jordi Suñé
Publisher : MDPI
Page : 244 pages
File Size : 42,5 Mb
Release : 2020-04-09
Category : Technology & Engineering
ISBN : 9783039285761

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Memristors for Neuromorphic Circuits and Artificial Intelligence Applications by Jordi Suñé Pdf

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.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 46,9 Mb
Release : 2024-06-10
Category : Electronic
ISBN : 9789814472050

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Brain-Mind Machinery by Anonim Pdf

Author : Paul R. Prucnal,Bhavin J. Shastri
Publisher : CRC Press
Page : 412 pages
File Size : 50,8 Mb
Release : 2017-05-08
Category : Science
ISBN : 9781498725248

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Neuromorphic Photonics by Paul R. Prucnal,Bhavin J. Shastri Pdf

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.

Author : JAGJIT SINGH. DHATTERWAL,Kuldeep Singh Kaswan,Reenu Batra
Publisher : Unknown
Page : 0 pages
File Size : 40,8 Mb
Release : 2024-07-24
Category : Computers
ISBN : 1032624116

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Nature Inspired Robotics by JAGJIT SINGH. DHATTERWAL,Kuldeep Singh Kaswan,Reenu Batra Pdf

This book introduces the theories and methods of Nature-Inspired Robotics in artificial intelligence. Software and hardware technologies, alongside theories and methods, illustrate the application of bio-inspired artificial intelligence. It includes discussions on topics such as Robot Control Manipulators, Geometric Transformation, Robotic Drive Systems and Nature Inspired Robotic Neural System. Elaborating upon recent progress made in five distinct configurations of nature-inspired computing, it explores the potential applications of this technology in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. - Discusses advances in cutting-edge technology in brain-inspired computing, perception technologies and aspects of neuromorphic electronics - Offers a thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms - Provides comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviours - Includes cognitive behaviour of Inspired Robotics and cognitive technologies with applications in Artificial Intelligence - Contains practical discussions of neuromorphic devices based on chalcogenide and organic materials. This text acts as a reference book for students, scholars, and industry professionals.

Author : Andrew Adamatzky,Leon Chua
Publisher : Springer Science & Business Media
Page : 720 pages
File Size : 40,6 Mb
Release : 2013-12-18
Category : Computers
ISBN : 9783319026305

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Memristor Networks by Andrew Adamatzky,Leon Chua Pdf

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.