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.

A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.

Neural Engineering for Autism Spectrum Disorder, Volume One: Imaging and Signal Analysis Techniques presents the latest advances in neural engineering and biomedical engineering as applied to the clinical diagnosis and treatment of Autism Spectrum Disorder (ASD). Advances in the role of neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, social behaviors and suitable data analytics useful for clinical diagnosis and research applications for Autism Spectrum Disorder are covered, including relevant case studies. The application of brain signal evaluation, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals are presented for detection and estimation of the degree of ASD. - Presents applications of Neural Engineering and other Machine Learning techniques for the diagnosis of Autism Spectrum Disorder (ASD) - Includes in-depth technical coverage of imaging and signal analysis techniques, including coverage of functional MRI, neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, and neuroanatomy of autism - Covers Signal Analysis for the detection and estimation of Autism Spectrum Disorder (ASD), including brain signal analysis, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals for ASD - Written to help engineers, computer scientists, researchers and clinicians understand the technology and applications of Neural Engineering for the detection and diagnosis of Autism Spectrum Disorder (ASD)

Engineering Neural Tissue from Stem Cells covers the basic knowledge needed to understand the nervous system and how existing cells can be used to create neural tissue. This book presents a broad range of topics related to the design requirements for engineering neural tissue from stem cells. It begins with the anatomy and function of the central and peripheral nervous system, also covering stem cells, their relation to the nervous system and their function in recovery after injury or disease. In addition, the book explores the role of the extracellular matrix and vasculature/immune system and biomaterials, including their suitability for neural tissue engineering applications. - Provides readers entering the field with a strong basis of neural tissue engineering processes and real-world applications - Discusses the most current clinical trials and their importance of treating nervous system disorders - Reviews the structure and immune response of the nervous system, including the brain, spinal cord and their present cells - Offers a necessary overview of the natural and synthetic biomaterials used to engineer neural tissue

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.

In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks. Beginning with an introductory discussion on the role of neural networks in

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.

How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications. Over the past sixty years, powerful methods of model-based control engineering have been responsible for such dramatic advances in engineering systems as autolanding aircraft, autonomous vehicles, and even weather forecasting. Over those same decades, our models of the nervous system have evolved from single-cell membranes to neuronal networks to large-scale models of the human brain. Yet until recently control theory was completely inapplicable to the types of nonlinear models being developed in neuroscience. The revolution in nonlinear control engineering in the late 1990s has made the intersection of control theory and neuroscience possible. In Neural Control Engineering, Steven Schiff seeks to bridge the two fields, examining the application of new methods in nonlinear control engineering to neuroscience. After presenting extensive material on formulating computational neuroscience models in a control environment—including some fundamentals of the algorithms helpful in crossing the divide from intuition to effective application—Schiff examines a range of applications, including brain-machine interfaces and neural stimulation. He reports on research that he and his colleagues have undertaken showing that nonlinear control theory methods can be applied to models of single cells, small neuronal networks, and large-scale networks in disease states of Parkinson's disease and epilepsy. With Neural Control Engineering the reader acquires a working knowledge of the fundamentals of control theory and computational neuroscience sufficient not only to understand the literature in this trandisciplinary area but also to begin working to advance the field. The book will serve as an essential guide for scientists in either biology or engineering and for physicians who wish to gain expertise in these areas.

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

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.​