Neural Computation Neural Devices And Neural Prosthesis

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Neural Computation, Neural Devices, and Neural Prosthesis

Zhi Yang
Neural Computation Neural Devices and Neural Prosthesis Book PDF

Author : Zhi Yang
Publisher : Springer Science & Business Media
Page : 395 pages
File Size : 48,5 Mb
Release : 2014-04-15
Category : Medical
ISBN : 9781461481515

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Neural Computation, Neural Devices, and Neural Prosthesis by Zhi Yang Pdf

In the past decades, interdisciplinary investigations overlapping biology, medicine, information science, and engineering have formed a very exciting and active field that attracts scientists, medical doctors, and engineers with knowledge in different domains. A few examples of such investigations include neural prosthetic implants that aim to improve the quality of life for patients suffering from neurologic disease and injury; brain machine interfaces that sense, analyze, and translate electrical signals from the brain to build closed-loop, biofeedback systems; and fundamental studies of intelligence, cognitive functions, and psychological behaviors correlated to their neurological basis. Although this interdisciplinary area is still in its infancy, it can potentially create some of the most significant impact: treating diseases that are considered untreatable, interpretation and communication of neuron ensembles, or even a revolutionary perception and understanding of life different from philosophical or immaterial approaches. Fortunately, several academic societies recognize the value and impact of this growing field, firmly supporting related research. Such support will drive a booming future in the next twenty or thirty years. Research in this area is frequently project-driven, and the generated knowledge has been scattered in different fields of neuroscience, computation, material and technology, circuits and system, clinical reports, and psychology—the scope considerably across the boundary of traditionally defined disciplines. Neural Computation, Neural Devices, and Neural Prosthesis is intended to assemble such knowledge, from there suggesting a systematic approach guiding future educational and research activities. The targeted audience includes both students and researchers.

Emerging Trends in Neuro Engineering and Neural Computation

Asim Bhatti,Kendall H. Lee,Hamid Garmestani,Chee Peng Lim
Emerging Trends in Neuro Engineering and Neural Computation Book PDF

Author : Asim Bhatti,Kendall H. Lee,Hamid Garmestani,Chee Peng Lim
Publisher : Springer
Page : 264 pages
File Size : 43,9 Mb
Release : 2017-03-23
Category : Technology & Engineering
ISBN : 9789811039577

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Emerging Trends in Neuro Engineering and Neural Computation by Asim Bhatti,Kendall H. Lee,Hamid Garmestani,Chee Peng Lim Pdf

This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel information acquisition and processing algorithms to make sense of the acquired data. The book also highlights emerging trends and advances regarding the applications of neuro-engineering in real-world scenarios, such as neural prostheses, diagnosis of neural degenerative diseases, deep brain stimulation, biosensors, real neural network-inspired artificial neural networks (ANNs) and the predictive modeling of information flows in neuronal networks. The book is broadly divided into three main sections including: current trends in technological developments, neural computation techniques to make sense of the neural behavioral data, and application of these technologies/techniques in the medical domain in the treatment of neural disorders.

Handbook of Neural Engineering

Metin Akay
Handbook of Neural Engineering Book PDF

Author : Metin Akay
Publisher : John Wiley & Sons
Page : 681 pages
File Size : 46,9 Mb
Release : 2007-01-09
Category : Medical
ISBN : 9780470068281

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Handbook of Neural Engineering by Metin Akay Pdf

An important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing academia, industry, and private and government organizations present peer-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain, and neurons. The Handbook of Neural Engineering covers: Neural signal and image processing--the analysis and modeling of neural activity and EEG-related activities using the nonlinear and nonstationary analysis methods, including the chaos, fractal, and time-frequency and time-scale analysis methods--and how to measure functional, physiological, and metabolic activities in the human brain using current and emerging medical imaging technologies Neuro-nanotechnology, artificial implants, and neural prosthesis--the design of multi-electrode arrays to study how the neurons of human and animals encode stimuli, the evaluation of functional changes in neural networks after stroke and spinal cord injuries, and improvements in therapeutic applications using neural prostheses Neurorobotics and neural rehabilitation engineering--the recent developments in the areas of biorobotic system, biosonar head, limb kinematics, and robot-assisted activity to improve the treatment of elderly subjects at the hospital and home, as well as the interactions of the neuron chip, neural information processing, perception and neural dynamics, learning memory and behavior, biological neural networks, and neural control

Neural Prostheses for Restoration of Sensory and Motor Function

John K. Chapin,Karen A. Moxon
Neural Prostheses for Restoration of Sensory and Motor Function Book PDF

Author : John K. Chapin,Karen A. Moxon
Publisher : CRC Press
Page : 312 pages
File Size : 49,9 Mb
Release : 2000-09-27
Category : Science
ISBN : 0849322251

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Neural Prostheses for Restoration of Sensory and Motor Function by John K. Chapin,Karen A. Moxon Pdf

The prospect of interfacing the nervous system with electronic devices to stimulate or record from neural tissue suggests numerous possibilities in the field of neuroprosthetics. While the creation of a "six million dollar man" may still be far into the future, neural prostheses are rapidly becoming viable theories for a broad range of patients with injury or disease of the nervous system. Neural Prostheses for Restoration of Sensory and Motor Function presents a general review of exciting scientific discoveries that show the feasibility of using electronic devices to restore motor function in paralyzed patients. The book is divided into two sections. The first section details some of the most successful sensory and motor prosthetic devices available. It pays particular attention to the present usefulness and future promise of these devices. It explores different approaches to the use of functional electrical stimulation for the restoration of motor control. The second section highlights the growing field of brain-implantable devices for the control of artificial prosthetic devices or neural prosthetics. It considers the possible scientific and clinical advantages of using implanted devices to record signals from the nervous system and the use of those signals for the restoration of neurological function. The book presents research data that relates to the feasibility of using brain-controlled neurorobotic devices. It offers a new perspective on the practice of combining neurochemical and neurophysiological information to create prosthetic control devices that restore chemical balance to the brain. Neural Prostheses for Restoration of Sensory and Motor Function examines several different types of neural prosthetic devices as well as recent advances in research for novel devices to restore sensory and motor function in patients with neural damage. It provides authoritative information on neural prosthetic techniques and applications - specifically in relation to the sensory and motor systems of the brain.

Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology

Poramate Manoonpong,Christian Tetzlaff
Neural Computation in Embodied Closed Loop Systems for the Generation of Complex Behavior From Biology to Technology Book PDF

Author : Poramate Manoonpong,Christian Tetzlaff
Publisher : Frontiers Media SA
Page : 278 pages
File Size : 45,6 Mb
Release : 2018-10-11
Category : Electronic
ISBN : 9782889456055

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Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology by Poramate Manoonpong,Christian Tetzlaff Pdf

How can neural and morphological computations be effectively combined and realized in embodied closed-loop systems (e.g., robots) such that they can become more like living creatures in their level of performance? Understanding this will lead to new technologies and a variety of applications. To tackle this research question, here, we bring together experts from different fields (including Biology, Computational Neuroscience, Robotics, and Artificial Intelligence) to share their recent findings and ideas and to update our research community. This eBook collects 17 cutting edge research articles, covering neural and morphological computations as well as the transfer of results to real world applications, like prosthesis and orthosis control and neuromorphic hardware implementation.

Neural Engineering

Bin He
Neural Engineering Book PDF

Author : Bin He
Publisher : Springer Science & Business Media
Page : 493 pages
File Size : 45,8 Mb
Release : 2007-12-31
Category : Medical
ISBN : 9780306486104

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Neural Engineering by Bin He Pdf

Reviews and discussions of contemporary and relevant topics by leading investigators, essential for all those wishing to take advantage of the latest and greatest in this emerging field.

Memristive Devices for Brain-Inspired Computing

Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran
Memristive Devices for Brain Inspired Computing Book PDF

Author : Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran
Publisher : Woodhead Publishing
Page : 569 pages
File Size : 46,7 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

Handbook of Neural Computing Applications

Alianna J. Maren,Craig T. Harston,Robert M. Pap
Handbook of Neural Computing Applications Book PDF

Author : Alianna J. Maren,Craig T. Harston,Robert M. Pap
Publisher : Academic Press
Page : 472 pages
File Size : 53,9 Mb
Release : 2014-05-10
Category : Computers
ISBN : 9781483264844

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Handbook of Neural Computing Applications by Alianna J. Maren,Craig T. Harston,Robert M. Pap Pdf

Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Other papers deal with specific neural network types, and also on selecting, configuring, and implementing neural networks. Other papers address specific applications including neurocontrol for the benefit of control engineers and for neural networks researchers. Other applications involve signal processing, spatio-temporal pattern recognition, medical diagnoses, fault diagnoses, robotics, business, data communications, data compression, and adaptive man-machine systems. One paper describes data compression and dimensionality reduction methods that have characteristics, such as high compression ratios to facilitate data storage, strong discrimination of novel data from baseline, rapid operation for software and hardware, as well as the ability to recognized loss of data during compression or reconstruction. The collection can prove helpful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers related to programming, hardware interface, networking, engineering or design.

Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology

Anonim
Neural Computation in Embodied Closed Loop Systems for the Generation of Complex Behavior From Biology to Technology Book PDF

Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 51,9 Mb
Release : 2018
Category : Electronic
ISBN : OCLC:1368430604

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Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology by Anonim Pdf

How can neural and morphological computations be effectively combined and realized in embodied closed-loop systems (e.g., robots) such that they can become more like living creatures in their level of performance? Understanding this will lead to new technologies and a variety of applications. To tackle this research question, here, we bring together experts from different fields (including Biology, Computational Neuroscience, Robotics, and Artificial Intelligence) to share their recent findings and ideas and to update our research community. This eBook collects 17 cutting edge research articles, covering neural and morphological computations as well as the transfer of results to real world applications, like prosthesis and orthosis control and neuromorphic hardware implementation.

Toward Replacement Parts for the Brain

Theodore W. Berger,Dennis Glanzman
Toward Replacement Parts for the Brain Book PDF

Author : Theodore W. Berger,Dennis Glanzman
Publisher : MIT Press
Page : 428 pages
File Size : 52,9 Mb
Release : 2005
Category : Anatomy
ISBN : 0262025779

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Toward Replacement Parts for the Brain by Theodore W. Berger,Dennis Glanzman Pdf

The latest advances in research on intracranial implantation of hardware models of neural circuitry.

Ultra Wideband Wireless Body Area Networks

Kasun Maduranga Silva Thotahewa,Jean-Michel Redouté,Mehmet Rasit Yuce
Ultra Wideband Wireless Body Area Networks Book PDF

Author : Kasun Maduranga Silva Thotahewa,Jean-Michel Redouté,Mehmet Rasit Yuce
Publisher : Springer Science & Business
Page : 180 pages
File Size : 48,8 Mb
Release : 2014-04-17
Category : Technology & Engineering
ISBN : 9783319052878

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Ultra Wideband Wireless Body Area Networks by Kasun Maduranga Silva Thotahewa,Jean-Michel Redouté,Mehmet Rasit Yuce Pdf

This book explores the design of ultra wideband (UWB) technology for wireless body-area networks (WBAN). The authors describe a novel implementation of WBAN sensor nodes that use UWB for data transmission and narrow band for data reception, enabling low power sensor nodes, with high data rate capability. The discussion also includes power efficient, medium access control (MAC) protocol design for UWB based WBAN applications and the authors present a MAC protocol in which a guaranteed delivery mechanism is utilized to transfer data with high priority. Readers will also benefit from this book’s feasibility analysis of the UWB technology for human implant applications through the study of electromagnetic and thermal power absorption of human tissue that is exposed to UWB signals.

Handbook of Neural Computation

E Fiesler,R Beale
Handbook of Neural Computation Book PDF

Author : E Fiesler,R Beale
Publisher : CRC Press
Page : 1094 pages
File Size : 54,8 Mb
Release : 2020-01-15
Category : Computers
ISBN : 9781420050646

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Handbook of Neural Computation by E Fiesler,R Beale Pdf

The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl

Neural Computation in Hopfield Networks and Boltzmann Machines

James P. Coughlin,Robert H. Baran
Neural Computation in Hopfield Networks and Boltzmann Machines Book PDF

Author : James P. Coughlin,Robert H. Baran
Publisher : University of Delaware Press
Page : 310 pages
File Size : 53,9 Mb
Release : 1995
Category : Computers
ISBN : 0874134641

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Neural Computation in Hopfield Networks and Boltzmann Machines by James P. Coughlin,Robert H. Baran Pdf

"One hundred years ago, the fundamental building block of the central nervous system, the neuron, was discovered. This study focuses on the existing mathematical models of neurons and their interactions, the simulation of which has been one of the biggest challenges facing modern science." "More than fifty years ago, W. S. McCulloch and W. Pitts devised their model for the neuron, John von Neumann seemed to sense the possibilities for the development of intelligent systems, and Frank Rosenblatt came up with a functioning network of neurons. Despite these advances, the subject had begun to fade as a major research area until John Hopfield arrived on the scene. Drawing an analogy between neural networks and the Ising spin models of ferromagnetism, Hopfield was able to introduce a "computational energy" that would decline toward stable minima under the operation of the system of neurodynamics devised by Roy Glauber." "Like a switch, a neuron is said to be either "on" or "off." The state of the neuron is determined by the states of the other neurons and the connections between them, and the connections are assumed to be reciprocal - that is, neuron number one influences neuron number two exactly as strongly as neuron number two influences neuron number one. According to the Glauber dynamics, the states of the neurons are updated in a random serial way until an equilibrium is reached. An energy function can be associated with each state, and equilibrium corresponds to a minimum of this energy. It follows from Hopfield's assumption of reciprocity that an equilibrium will always be reached." "D. H. Ackley, G. E. Hinton, and T. J. Sejnowski modified the Hopfield network by introducing the simulated annealing algorithm to search out the deepest minima. This is accomplished by - loosely speaking - shaking the machine. The violence of the shaking is controlled by a parameter called temperature, producing the Boltzmann machine - a name designed to emphasize the connection to the statistical physics of Ising spin models." "The Boltzmann machine reduces to the Hopfield model in the special case where the temperature goes to zero. The resulting network, under the Glauber dynamics, produces a homogeneous, irreducible, aperiodic Markov chain as it wanders through state space. The entire theory of Markov chains becomes applicable to the Boltzmann machine." "With ten chapters, five appendices, a list of references, and an index, this study should serve as an introduction to the field of neural networks and its application, and is suitable for an introductory graduate course or an advanced undergraduate course."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Emergent Neural Computational Architectures Based on Neuroscience

Stefan Wermter,David Willshaw
Emergent Neural Computational Architectures Based on Neuroscience Book PDF

Author : Stefan Wermter,David Willshaw
Publisher : Springer Science & Business Media
Page : 587 pages
File Size : 49,9 Mb
Release : 2001-07-25
Category : Computers
ISBN : 9783540423638

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Emergent Neural Computational Architectures Based on Neuroscience by Stefan Wermter,David Willshaw Pdf

It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.

Unsupervised Learning

Geoffrey Hinton,Terrence J. Sejnowski
Unsupervised Learning Book PDF

Author : Geoffrey Hinton,Terrence J. Sejnowski
Publisher : MIT Press
Page : 420 pages
File Size : 55,5 Mb
Release : 1999-05-24
Category : Medical
ISBN : 026258168X

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Unsupervised Learning by Geoffrey Hinton,Terrence J. Sejnowski Pdf

Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the past nine years. This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.