Handbook Of Neuroengineering
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| Author | : Nitish V. Thakor |
| Publisher | : Springer Nature |
| Total Pages | : 3686 |
| Release | : 2023-02-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9811655405 |
This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.
| Author | : Pijush Samui |
| Publisher | : Academic Press |
| Total Pages | : 660 |
| Release | : 2017-07-18 |
| Genre | : Technology & Engineering |
| ISBN | : 0128113197 |
Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. - Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more - Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing - Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods
| Author | : Metin Akay |
| Publisher | : John Wiley & Sons |
| Total Pages | : 681 |
| Release | : 2007-01-09 |
| Genre | : Medical |
| ISBN | : 0470068280 |
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
| Author | : Stephanie Willerth |
| Publisher | : Elsevier |
| Total Pages | : 680 |
| Release | : 2024-09-27 |
| Genre | : Medical |
| ISBN | : 0323957315 |
Handbook of Neural Engineering: A Modern Approach provides a comprehensive overview of the field from biology to recent technological advances through an interdisciplinary lens. The book is divided into three sections: 1) Biological Considerations for Neural Engineering, 2) Neural Engineering Strategies, and 3) Emerging Technologies for Neural Engineering. It provides the first comprehensive text that addresses this combination of subjects. Neurodegenerative diseases, including Alzheimer's, Parkinson's and Multiple Sclerosis, represent an enormous healthcare burden, and many of these diseases lack true cures, making it imperative to study the biological systems that become disordered to understand potential treatment options. This book covers the basic neurobiology and physiology, common neural engineering strategies, and emerging technologies in this field. It is designed to support an upper year/graduate elective course in neural engineering, and will provide a foundational overview of the field for interdisciplinary researchers, clinicians, engineers, and industry professionals. The handbook provides readers with a strong base in both biological and engineering principles along with the concepts necessary to implement solutions using Neural Engineering. - Includes coverage of foundational concepts of the fast-moving field of Neural Engineering, from overview and structure of the nervous system, cellular biology of the nervous system, extracellular matrix of the nervous system, role of the immune system in the nervous system, disease states of the nervous system, and the effects of trauma and chronic pain on the nervous system - Provides readers with understanding of Neural Engineering strategies, in key areas such as imagining, examining nervous system function, neural interfaces, Brain-Computer Interfaces, neural prostheses, neurorobotics, and neural tissue engineering - Includes a complete section on emerging technologies for neural engineering applications, such as optogenetics, gene editing, brain organoids, and modeling with organ-on-a-chip systems
| Author | : Bin He |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 801 |
| Release | : 2013-01-09 |
| Genre | : Technology & Engineering |
| ISBN | : 1461452279 |
Neural Engineering, 2nd Edition, contains reviews and discussions of contemporary and relevant topics by leading investigators in the field. It is intended to serve as a textbook at the graduate and advanced undergraduate level in a bioengineering curriculum. This principles and applications approach to neural engineering is essential reading for all academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals wishing to take advantage of the latest and greatest in this emerging field.
| Author | : Metin Akay |
| Publisher | : Academic Press |
| Total Pages | : 393 |
| Release | : 2012-12-02 |
| Genre | : Technology & Engineering |
| ISBN | : 0323140149 |
Sophisticated techniques for signal processing are now available to the biomedical specialist! Written in an easy-to-read, straightforward style, Biomedical Signal Processing presents techniques to eliminate background noise, enhance signal detection, and analyze computer data, making results easy to comprehend and apply. In addition to examining techniques for electrical signal analysis, filtering, and transforms, the author supplies an extensive appendix with several computer programs that demonstrate techniques presented in the text.
| Author | : António Salgado |
| Publisher | : Elsevier |
| Total Pages | : 712 |
| Release | : 2020-06-10 |
| Genre | : Medical |
| ISBN | : 0128180854 |
Handbook of Innovations in CNS Regenerative Medicine provides a comprehensive overview of the CNS regenerative medicine field. The book describes the basic biology and anatomy of the CNS and how injury and disease affect its balance and the limitations of the present therapies used in the clinics. It also introduces recent trends in different fields of CNS regenerative medicine, including cell transplantation, bio and neuro-engineering, molecular/pharmacotherapy therapies and enabling technologies. Finally, the book presents successful cases of translation of basic research to first-in-human trials and the steps needed to follow this path. Areas such as cell transplantation approaches, bio and neuro-engineering, molecular/pharmacotherapy therapies and enabling technologies are key in regenerative medicine are covered in the book, along with regulatory and ethical issues. - Describes the basic biology and anatomy of the CNS and how injury and disease affect its balance - Discusses the limitations of present therapies used in the clinics - Introduces the recent trends in different fields of CNS regenerative medicine, including cell transplantation, bio and neuro-engineering, molecular/pharmacotherapy therapies, and enabling technologies - Presents successful cases of translation of basic research to first-in-human trials, along with the steps needed to follow this path
| Author | : Joseph D. Bronzino |
| Publisher | : CRC Press |
| Total Pages | : 1184 |
| Release | : 2014-12-17 |
| Genre | : Medical |
| ISBN | : 1439825181 |
Known as the bible of biomedical engineering, The Biomedical Engineering Handbook, Fourth Edition, sets the standard against which all other references of this nature are measured. As such, it has served as a major resource for both skilled professionals and novices to biomedical engineering. Biomedical Engineering Fundamentals, the first volume of the handbook, presents material from respected scientists with diverse backgrounds in physiological systems, biomechanics, biomaterials, bioelectric phenomena, and neuroengineering. More than three dozen specific topics are examined, including cardiac biomechanics, the mechanics of blood vessels, cochlear mechanics, biodegradable biomaterials, soft tissue replacements, cellular biomechanics, neural engineering, electrical stimulation for paraplegia, and visual prostheses. The material is presented in a systematic manner and has been updated to reflect the latest applications and research findings.
| Author | : Dario Farina |
| Publisher | : John Wiley & Sons |
| Total Pages | : 661 |
| Release | : 2013-05-21 |
| Genre | : Science |
| ISBN | : 1118628632 |
Neural engineering is a discipline that uses engineering techniques to understand, repair, replace, enhance, or treat diseases of neural systems. Currently, no book other than this one covers this broad range of topics within motor rehabilitation technology. With a focus on cutting edge technology, it describes state-of-the-art methods within this field, from brain-computer interfaces to spinal and cortical plasticity. Touching on electrode design, signal processing, the neurophysiology of movement, robotics, and much more, this innovative volume collects the latest information for a wide range of readers working in biomedical engineering.
| Author | : W. Thomas Miller |
| Publisher | : MIT Press |
| Total Pages | : 548 |
| Release | : 1995 |
| Genre | : Computers |
| ISBN | : 9780262631617 |
Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (with evaluations of the possible applications by experts in the applications areas.) Special emphasis is placed on designs based on optimization or reinforcement, which will become increasingly important as researchers address more complex engineering challenges or real biological-control problems.A Bradford Book. Neural Network Modeling and Connectionism series
