Neural Interface Engineering Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Neural Interface Engineering book. This book definitely worth reading, it is an incredibly well-written.
This book provides a comprehensive reference to major neural interfacing technologies used to transmit signals between the physical world and the nervous system for repairing, restoring and even augmenting body functions. The authors discuss the classic approaches for neural interfacing, the major challenges encountered, and recent, emerging techniques to mitigate these challenges for better chronic performances. Readers will benefit from this book’s unprecedented scope and depth of coverage on the technology of neural interfaces, the most critical component in any type of neural prostheses. Provides comprehensive coverage of major neural interfacing technologies; Reviews and discusses both classic and latest, emerging topics; Includes classification of technologies to provide an easy grasp of research and trends in the field.
Brain-Machine Interface Engineering by Justin Sanchez Pdf
Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems, computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs. Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using Generative BMI Models / Adaptive Algorithms for Point Processes / BMI Systems
Brain-Machine Interface Engineering by Justin C. Sanchez,José C. Principe Pdf
Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems, computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs. Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using Generative BMI Models / Adaptive Algorithms for Point Processes / BMI Systems
Neural Interface: Frontiers and Applications by Xiaoxiang Zheng Pdf
This book focuses on the frontiers of neural interface technology, including hardware, software, neural decoding and encoding, control systems, and system integration. It also discusses applications for neuroprosthetics, neural diseases and neurorobotics, and the toolkits for basic neuroscience. A neural interface establishes a direct communication channel with the central or peripheral nervous system (CNS or PNS), and enables the nervous system to interact directly with the external devices. Recent advances in neuroscience and engineering are speeding up neural interface technology, paving the way for assisting, augmenting, repairing or restoring sensorimotor and other cognitive functions impaired due to neurological disease or trauma, and so improving the quality of life of those affected. Neural interfaces are now being explored in applications as diverse as rehabilitation, accessibility, gaming, education, recreation, robotics and human enhancement. Neural interfaces also represent a powerful tool to address fundamental questions in neuroscience. Recent decades have witnessed tremendous advances in the field, with a huge impact not only in the development of neuroprosthetics, but also in our basic understanding of brain function. Neural interface technology can be seen as a bridge across the traditional engineering and basic neuroscience. This book provides researchers, graduate and upper undergraduate students from a wide range of disciplines with a cutting-edge and comprehensive summary of neural interface engineering research.
In the past 50 years there has been an explosion of interest in the development of technologies whose end goal is to connect the human brain and/or nervous system directly to computers. Once the subject of science fiction, the technologies necessary to accomplish this goal are rapidly becoming reality. In laboratories around the globe, research is being undertaken to restore function to the physically disabled, to replace areas of the brain damaged by disease or trauma and to augment human abilities. Building neural interfaces and neuro-prosthetics relies on a diverse array of disciplines such as neuroscience, engineering, medicine and microfabrication just to name a few. This book presents a short history of neural interfacing (N.I.) research and introduces the reader to some of the current efforts to develop neural prostheses. The book is intended as an introduction for the college freshman or others wishing to learn more about the field. A resource guide is included for students along with a list of laboratories conducting N.I. research and universities with N.I. related tracks of study. Table of Contents: Neural Interfaces Past and Present / Current Neuroprosthesis Research / Conclusion / Resources for Students
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.
High-Density Integrated Electrocortical Neural Interfaces by Sohmyung Ha,Chul Kim,Patrick P. Mercier,Gert Cauwenberghs Pdf
High-Density Integrated Electrocortical Neural Interfaces provides a basic understanding, design strategies and implementation applications for electrocortical neural interfaces with a focus on integrated circuit design technologies. A wide variety of topics associated with the design and application of electrocortical neural implants are covered in this book. Written by leading experts in the field— Dr. Sohmyung Ha, Dr. Chul Kim, Dr. Patrick P. Mercier and Dr. Gert Cauwenberghs —the book discusses basic principles and practical design strategies of electrocorticography, electrode interfaces, signal acquisition, power delivery, data communication, and stimulation. In addition, an overview and critical review of the state-of-the-art research is included. These methodologies present a path towards the development of minimally invasive brain-computer interfaces capable of resolving microscale neural activity with wide-ranging coverage across the cortical surface. Written by leading researchers in electrocorticography in brain-computer interfaces Offers a unique focus on neural interface circuit design, from electrode to interface, circuit, powering, communication and encapsulation Covers the newest ECoG interface systems and electrode interfaces for ECoG and biopotential sensing
Principles of Electrical Neural Interfacing by Liang Guo Pdf
This textbook fills a gap to supply students with the fundamental principles and tools they need to perform the quantitative analyses of the neuroelectrophysiological approaches, including both conventional and emerging ones, prevalently used in neuroscience research and neuroprosthetics. The content grows out of a course on Neuroengineering and Neuroprosthetics, which the author has taught already several times. The key problems the author addresses include (1) the universal operating mechanisms of neuroelectrophysiological approaches, (2) proper configuration of each approach, and (3) proper interpretation of the resulting signals. Efforts are made both to extract the universal principles underlying this common class of approaches and discern the unique properties of each individual approach. To address these important problems, equivalent electrical circuit modeling and signal analysis are used to unravel the functioning mechanisms and principles and provide sound interpretations to the associated signals and phenomena. This book aims to derive analytical solutions to these equivalent circuits, which can offer clear and complete mechanistic insights to the underlying biophysics.
Neural Interface Engineering for Electrophysiology Application by Hyungsoo Kim Pdf
The brain is a wondrous and complex organ, a biological machine forged by the evolutionary forces of nature. The human brain contains 100 billion neurons and each neuron is connected by synapses to several thousand other neurons. Connected neurons work together to produce perceptions and sensations, memories and emotions, physical movements and abstract constructs. The neurons communicate by means of electricity that passes along and across their cellular membrane. Much of what is known about brain physiology is through the measurement of this electrical activity, either with relatively large electrodes placed on the scalp or tiny microelectrodes inserted into the brain tissue itself. At the finer end of this scale, scientists have discovered much about the way individual neurons extract sensory information, adapt their behavior to form a memory, and convey signals to other regions of the brain. However, it has long been recognized that the brain operates on a global scale, through the collective behavior and interaction of its neural units1. Information is processed in several regions of the brain simultaneously, and the activity of neighboring neurons can be quite different from one another. By one analogy, the attempt to assess brain function by observing a single neuron is like looking at the output of one transistor to learn how a computer works. Thus, the recording of many neurons simultaneously is necessary to truly reveal the mechanisms of the brain2. In recent decades, a variety of recording techniques have been developed for a neural interface such as electroencephalography (EEG), magneto-encephalography (MEG), electrocorticography (ECOG), local field potential (LFP) recordings, micro-electrode array (MEA) and peripheral nerve interfaces (PNIs) to the micron-level precision required for multi-neuron recording. Their small size allows many recording channels to be placed onto one device. One of the goals of neural interface research is to create a seamless connection between the nervous system and the neuroprostheses either by stimulating or by recording from neural tissue to restore or substitute function for individuals with neurological deficits or disabilities. Hence, significant amount of scientific and technological efforts have been devoted to develop neural interfaces that link the nervous system with robotic prosthetic devices. The creation of a novel neural interface is essential for developing the full potential of advanced prosthesis technology required to replace lost limbs. Additionally, meticulous studies of a single neuron and between neurons utilizing the neural interface technology should be made to elucidate fundamental biological phenomena such as cellular processes and heterogeneities. Particularly, an electrophysiological study of neural networks can provide knowledge to unravel the functions of brain. When fundamental research about molecular and cellular mechanisms of a single neuron and electrophysiological studies using neural interfaces on both the central and peripheral nervous systems are done together, it has a synergistic effect on neural interface technology. The research and methodologies described in this dissertation stem from our research group's efforts to optimize the design and expand the applications of neural interfaces. The dissertation is organized into four chapters. Chapter 1 is a review of neural interface technology and study of neural signal detection. This chapter provides a foundation for Chapter 2 and 3. Chapter 2 is a study of a neural interface as cellular level research. We present an advanced single-neuronal cell culture and monitoring platform using a fully transparent microfluidic dielectrophoresis (DEP) device for unabated monitoring of neuronal cell development and function. The device is mounted inside a sealed incubation chamber to ensure improved homeostatic conditions and reduced contamination risk. Consequently, we successfully trap and culture single neurons on a desired location and monitor their growth process over a week. Chapter 3 deals with the specific application of PNIs to the sciatic nerve of a rat as a nervous system-level research. We developed novel devices, "cuff and sieve electrodes" (CASE), that integrate microfabricated cuff and sieve electrodes capable of broad (via cuff) and precise (via sieve) selectivity to increase the strengths and simultaneously decrease the weaknesses of traditional electrode designs. We performed terminal device implantations in a rat sciatic transection and repair model to test the capacity of the CASE interface. The sciatic nerve was stimulated by the sieve portion of the CASE electrode and somatosensory evoked potentials were recorded from the somatosensory cortex via micro-eletrocorticography. The ability to elicit cortical responses from sciatic nerve stimulation demonstrates the proof of concept for both the implantation and chronic monitoring of CASE interfaces for innovative prosthetic control. Lastly, in Chapter 4, I will identify areas in which further investigation is needed and propose future directions of both cellular and system-level neural interface
Introduction to Neural Engineering for Motor Rehabilitation by Dario Farina,Winnie Jensen,Metin Akay Pdf
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.
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
Brain-Computer Interfacing by Rajesh P. N. Rao Pdf
The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoration and augmentation of human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and neurally controlled prosthetic limbs for the paralyzed are becoming almost commonplace. Brain-computer interfaces (BCIs) are also increasingly being used in security, lie detection, alertness monitoring, telepresence, gaming, education, art, and human augmentation. This introduction to the field is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used for self-study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include questions and exercises in each chapter and a supporting website.
Advances in Neural Engineering Volume 2 by Ayman S. El-Baz,Jasjit Suri Pdf
Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions. To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics. Volume 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. Presents Neural Engineering techniques applied to Signal Processing, including featureextraction methods and classification algorithms in BCI for motor imagery tasks Includes in-depth technical coverage of disruptive neurocircuitry, including neurocircuitry of stress integration, role of basal ganglia neurocircuitry in pathology of psychiatric disorders, and neurocircuitry of anxiety in obsessive-compulsive disorder Covers neural signal processing data analysis and neuroprosthetics applications, including EEG-based BCI paradigms, EEG signal processing in anesthesia, neural networks for intelligent signal processing, and a variety of neuroprosthetic applications Written by engineers to help engineers, computer scientists, researchers, and clinicians understand the technology and applications of signal processing
Interface Engineering in Organic Field-Effect Transistors by Xuefeng Guo,Hongliang Chen Pdf
Interface Engineering in Organic Field-Effect Transistors Systematic summary of advances in developing effective methodologies of interface engineering in organic field-effect transistors, from models to experimental techniques Interface Engineering in Organic Field-Effect Transistors covers the state of the art in organic field-effect transistors and reviews charge transport at the interfaces, device design concepts, and device fabrication processes, and gives an outlook on the development of future optoelectronic devices. This book starts with an overview of the commonly adopted methods to obtain various semiconductor/semiconductor interfaces and charge transport mechanisms at these heterogeneous interfaces. Then, it covers the modification at the semiconductor/electrode interfaces, through which to tune the work function of electrodes as well as reveal charge injection mechanisms at the interfaces. Charge transport physics at the semiconductor/dielectric interface is discussed in detail. The book describes the remarkable effect of SAM modification on the semiconductor film morphology and thus the electrical performance. In particular, valuable analyses of charge trapping/detrapping engineering at the interface to realize new functions are summarized. Finally, the sensing mechanisms that occur at the semiconductor/environment interfaces of OFETs and the unique detection methods capable of interfacing organic electronics with biology are discussed. Specific sample topics covered in Interface Engineering in Organic Field-Effect Transistors include: Noncovalent modification methods, charge insertion layer at the electrode surface, dielectric surface passivation methods, and covalent modification methods Charge transport mechanism in bulk semiconductors, influence of additives on materials’ nucleation and morphology, solvent additives, and nucleation agents Nanoconfinement effect, enhancing the performance through semiconductor heterojunctions, planar bilayer heterostructure, ambipolar charge-transfer complex, and supramolecular arrangement of heterojunctions Dielectric effect in OFETs, dielectric modification to tune semiconductor morphology, surface energy control, microstructure design, solution shearing, eliminating interfacial traps, and SAM/SiO2 dielectrics A timely resource providing the latest developments in the field and emphasizing new insights for building reliable organic electronic devices, Interface Engineering in Organic Field-Effect Transistors is essential for researchers, scientists, and other interface-related professionals in the fields of organic electronics, nanoelectronics, surface science, solar cells, and sensors.
Handbook of Neuroengineering by Nitish V. Thakor Pdf
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.
