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EBookClubs

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Book Event Based Neuromorphic Systems

Download or read book Event Based Neuromorphic Systems written by Shih-Chii Liu and published by John Wiley & Sons. This book was released on 2014-12-23 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.

Book Neural Plasticity and Memory

Download or read book Neural Plasticity and Memory written by Federico Bermudez-Rattoni and published by CRC Press. This book was released on 2007-04-17 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, multidisciplinary review, Neural Plasticity and Memory: From Genes to Brain Imaging provides an in-depth, up-to-date analysis of the study of the neurobiology of memory. Leading specialists share their scientific experience in the field, covering a wide range of topics where molecular, genetic, behavioral, and brain imaging techniq

Book Formation of KNbO3 Thin Films for Self Powered ReRAM Devices and Artificial Synapses

Download or read book Formation of KNbO3 Thin Films for Self Powered ReRAM Devices and Artificial Synapses written by Tae-Ho Lee and published by Springer. This book was released on 2018-09-14 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis describes an investigation into homogeneous KN crystalline films grown on Pt/Ti/SiO2/Si substrates, amorphous KN films grown on TiN/Si substrates using the RF-sputtering method, and the ferroelectic and piezoelectric properties of these KN films. KNbO3 (KN) thin films have been extensively investigated for applications in nonlinear optical, electro-optical and piezoelectric devices. However, the electrical properties of KN films have not yet been reported, because it is difficult to grow stoichiometric KN thin films due to K2O evaporation during growth. This thesis also reports on the ReRAM properties of a biocompatible KN ReRAM memristor powered by the KN nanogenerator, and finally shows the biological synaptic properties of the KN memristor for application to the artificial synapse of a neuromorphic computing system.

Book The Brain Explained

Download or read book The Brain Explained written by Daniel Drubach and published by Prentice Hall. This book was released on 2000 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fascinating read for non-medical layman and allied health field professionals, this unique book on neuroscience goes beyond discussions on the morphology and physiology of the brain by presenting the central nervous system as what it is: not only a group of neurons and lobes, but an extremely complex, integrated system responsible for an extraordinarily wide scope of functions. "Holistic" in approach, it integrates data from the realms of basic sciences, psychology, psychiatry, and neurology - covering a significant amount of updated subject matter plus material rarely found in standard neuroanatomy and neurophysiology texts - such as drug abuse, nutrition, brain plasticity, dreaming, consciousness, and aggression. Presents a witty, conversational and captivating narrative, interjecting discussions of complex concepts with humor, anecdotes, philosophical discussions and clinical case studies. For professionals in such allied health fields as nursing, social work, psychology, and the rehabilitation disciplines, including physical, occupational, recreational and speech and language therapies.

Book Analog VLSI Implementation of Neural Systems

Download or read book Analog VLSI Implementation of Neural Systems written by Carver Mead and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of a workshop on Analog Integrated Neural Systems held May 8, 1989, in connection with the International Symposium on Circuits and Systems. The presentations were chosen to encompass the entire range of topics currently under study in this exciting new discipline. Stringent acceptance requirements were placed on contributions: (1) each description was required to include detailed characterization of a working chip, and (2) each design was not to have been published previously. In several cases, the status of the project was not known until a few weeks before the meeting date. As a result, some of the most recent innovative work in the field was presented. Because this discipline is evolving rapidly, each project is very much a work in progress. Authors were asked to devote considerable attention to the shortcomings of their designs, as well as to the notable successes they achieved. In this way, other workers can now avoid stumbling into the same traps, and evolution can proceed more rapidly (and less painfully). The chapters in this volume are presented in the same order as the corresponding presentations at the workshop. The first two chapters are concerned with fmding solutions to complex optimization problems under a predefmed set of constraints. The first chapter reports what is, to the best of our knowledge, the first neural-chip design. In each case, the physics of the underlying electronic medium is used to represent a cost function in a natural way, using only nearest-neighbor connectivity.

Book Emerging Non volatile Memory Technologies

Download or read book Emerging Non volatile Memory Technologies written by Wen Siang Lew and published by Springer Nature. This book was released on 2021-01-09 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a balanced and comprehensive guide to the core principles, fundamental properties, experimental approaches, and state-of-the-art applications of two major groups of emerging non-volatile memory technologies, i.e. spintronics-based devices as well as resistive switching devices, also known as Resistive Random Access Memory (RRAM). The first section presents different types of spintronic-based devices, i.e. magnetic tunnel junction (MTJ), domain wall, and skyrmion memory devices. This section describes how their developments have led to various promising applications, such as microwave oscillators, detectors, magnetic logic, and neuromorphic engineered systems. In the second half of the book, the underlying device physics supported by different experimental observations and modelling of RRAM devices are presented with memory array level implementation. An insight into RRAM desired properties as synaptic element in neuromorphic computing platforms from material and algorithms viewpoint is also discussed with specific example in automatic sound classification framework.

Book Advances in Unconventional Computing

Download or read book Advances in Unconventional Computing written by Andrew Adamatzky and published by Springer. This book was released on 2016-07-18 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The unconventional computing is a niche for interdisciplinary science, cross-bred of computer science, physics, mathematics, chemistry, electronic engineering, biology, material science and nanotechnology. The aims of this book are to uncover and exploit principles and mechanisms of information processing in and functional properties of physical, chemical and living systems to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices. This first volume presents theoretical foundations of the future and emergent computing paradigms and architectures. The topics covered are computability, (non-)universality and complexity of computation; physics of computation, analog and quantum computing; reversible and asynchronous devices; cellular automata and other mathematical machines; P-systems and cellular computing; infinity and spatial computation; chemical and reservoir computing. The book is the encyclopedia, the first ever complete authoritative account, of the theoretical and experimental findings in the unconventional computing written by the world leaders in the field. All chapters are self-contains, no specialist background is required to appreciate ideas, findings, constructs and designs presented. This treatise in unconventional computing appeals to readers from all walks of life, from high-school pupils to university professors, from mathematicians, computers scientists and engineers to chemists and biologists.

Book Neuromorphic Photonics

    Book Details:
  • Author : Paul R. Prucnal
  • Publisher : CRC Press
  • Release : 2017-05-08
  • ISBN : 1498725244
  • Pages : 412 pages

Download or read book Neuromorphic Photonics written by Paul R. Prucnal and published by CRC Press. This book was released on 2017-05-08 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Nanophotonic Information Physics

Download or read book Nanophotonic Information Physics written by Makoto Naruse and published by Springer Science & Business Media. This book was released on 2013-12-12 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a new direction in the field of nano-optics and nanophotonics from information and computing-related sciences and technology. Entitled by "Information Physics and Computing in NanosScale Photonics and Materials”, IPCN in short, the book aims to bring together recent progresses in the intersection of nano-scale photonics, information, and enabling technologies. The topic will include (1) an overview of information physics in nanophotonics, (2) DNA self-assembled nanophotonic systems, (3) Functional molecular sensing, (4) Smart fold computing, an architecture for nanophotonics, (5) semiconductor nanowire and its photonic applications, (6) single photoelectron manipulation in imaging sensors, (6) hierarchical nanophotonic systems, (8) photonic neuromorphic computing, and (9) SAT solver and decision making based on nanophotonics.

Book Macmillan Encyclopedia of Physics

Download or read book Macmillan Encyclopedia of Physics written by John S. Rigden and published by MacMillan Publishing Company. This book was released on 1996 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers clear explanations of the basic concepts, history, philosophy, fundamental theories and laws of physics, as well as biographical entries featuring physicists who have contributed to our knowledge of the physical world. The set will be useful for physics students from high school through graduate school and for general readers exploring the mysteries of everyday life, such as: What causes earthquakes?; How do CAT Scans work?; or, How do clouds form? Articles are arranged in alphabetical order and include cross-references and bibliographic references as recent as 1996. Volume one contains a Reader's Guide which identifies some key entries in the encyclopedia's plan. A table of symbols and abbreviations is included at the beginning of each volume to assist readers unfamiliar with any mathematical or scientific notation that might arise. The 4-volume set offers readers clear explanations for the phenomena, concepts, and laws that are the foundation of every other branch of science from astronomy to zoology. The entries are written to let readers satisfy their curiosity without becoming lost in high-level jargon. Specifically written to supplement the high school physics curriculum, the Encyclopedia satisfies the informational needs of a broad range of readers.

Book Fourier Transforms

    Book Details:
  • Author : Goran Nikolic
  • Publisher : BoD – Books on Demand
  • Release : 2017-02-08
  • ISBN : 9535128930
  • Pages : 264 pages

Download or read book Fourier Transforms written by Goran Nikolic and published by BoD – Books on Demand. This book was released on 2017-02-08 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main purpose of this book is to provide a modern review about recent advances in Fourier transforms as the most powerful analytical tool for high-tech application in electrical, electronic, and computer engineering, as well as Fourier transform spectral techniques with a wide range of biological, biomedical, biotechnological, pharmaceutical, and nanotechnological applications. The confluence of Fourier transform methods with high tech opens new opportunities for detection and handling of atoms and molecules using nanodevices, with potential for a large variety of scientific and technological applications.

Book Neuronal Dynamics

    Book Details:
  • Author : Wulfram Gerstner
  • Publisher : Cambridge University Press
  • Release : 2014-07-24
  • ISBN : 1107060834
  • Pages : 591 pages

Download or read book Neuronal Dynamics written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2014-07-24 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Book Nerve and Muscle Excitation

Download or read book Nerve and Muscle Excitation written by Douglas Junge and published by Sinauer Associates, Incorporated. This book was released on 1992 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition of Nerve and Muscle Excitation is intended as a text or general reference for students or researchers in neuroscience, biology, biomedical engineering, biophysics, physiology, medicine, neurology, neuroengineering or ancillary fields. It takes the approach of relating observed behaviours of excitable nerve and muscle membranes to the theoretical models currently in use by research workers in each area. Some familiarity, although not extensive knowledge, is assumed with calculus, electrical theory and chemistry; models in the text are derived from basic principles.

Book Principles of Neurodynamics

Download or read book Principles of Neurodynamics written by Frank Rosenblatt and published by . This book was released on 1962 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part I attempts to review the background, basic sources of data, concepts, and methodology to be employed in the study of perceptrons. In Chapter 2, a brief review of the main alternative approaches to the development of brain models is presented. Chapter 3 considers the physiological and psychological criteria for a suitable model, and attempts to evaluate the empirical evidence which is available on several important issues. Chapter 4 contains basic definitions and some of the notation to be used in later sections are presented. Parts II and III are devoted to a summary of the established theoretical results obtained to date. Part II (Chapters 5 through 14) deals with the theory of three-layer series-coupled perceptrons, on which most work has been done to date. Part III (Chapters 15 through 20) deals with the theory of multi-layer and cross-coupled perceptrons. Part IV is concerned with more speculative models and problems for future analysis. Of necessity, the final chapters become increasingly heuristic in character, as the theory of perceptrons is not yet complete, and new possibilities are continually coming to light. (Author).

Book Theoretical Neuroscience

Download or read book Theoretical Neuroscience written by Peter Dayan and published by MIT Press. This book was released on 2005-08-12 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory. The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

Book Advances in Memristors  Memristive Devices and Systems

Download or read book Advances in Memristors Memristive Devices and Systems written by Sundarapandian Vaidyanathan and published by Springer. This book was released on 2017-02-15 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest advances in and applications of memristors, memristive devices and systems. It gathers 20 contributed chapters by subject experts, including pioneers in the field such as Leon Chua (UC Berkeley, USA) and R.S. Williams (HP Labs, USA), who are specialized in the various topics addressed in this book, and covers broad areas of memristors and memristive devices such as: memristor emulators, oscillators, chaotic and hyperchaotic memristive systems, control of memristive systems, memristor-based min-max circuits, canonic memristors, memristive-based neuromorphic applications, implementation of memristor-based chaotic oscillators, inverse memristors, linear memristor devices, delayed memristive systems, flux-controlled memristive emulators, etc. Throughout the book, special emphasis is given to papers offering practical solutions and design, modeling, and implementation insights to address current research problems in memristors, memristive devices and systems. As such, it offers a valuable reference book on memristors and memristive devices for graduate students and researchers with a basic knowledge of electrical and control systems engineering.

Book An Introduction to Modeling Neuronal Dynamics

Download or read book An Introduction to Modeling Neuronal Dynamics written by Christoph Börgers and published by Springer. This book was released on 2017-04-17 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate students of mathematics, the natural sciences, engineering, or computer science. An undergraduate introduction to differential equations is more than enough mathematical background. Only a slim, high school-level background in physics is assumed, and none in biology. Topics include models of individual nerve cells and their dynamics, models of networks of neurons coupled by synapses and gap junctions, origins and functions of population rhythms in neuronal networks, and models of synaptic plasticity. An extensive online collection of Matlab programs generating the figures accompanies the book.