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Statistical Signal Processing for Neuroscience and Neurotechnology

Statistical Signal Processing for Neuroscience and Neurotechnology Author Karim G. Oweiss
ISBN-10 0080962963
Release 2010-09-22
Pages 433
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This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience. A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems



Dynamic Neuroscience

Dynamic Neuroscience Author Zhe Chen
ISBN-10 9783319719764
Release 2017-12-27
Pages 327
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This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers.



Advanced State Space Methods for Neural and Clinical Data

Advanced State Space Methods for Neural and Clinical Data Author Zhe Chen
ISBN-10 9781107079199
Release 2015-08-31
Pages 396
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An authoritative and in-depth treatment of state space methods, with a range of applications in neural and clinical data.



Introduction to Neural Engineering for Motor Rehabilitation

Introduction to Neural Engineering for Motor Rehabilitation Author Dario Farina
ISBN-10 9781118628638
Release 2013-05-21
Pages 600
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The only book that covers in detail a broad range of cutting-edge topics within motor rehabilitation technology Neural engineering is a discipline that uses engineering techniques to understand, repair, replace, enhance, or treat diseases of neural systems. This book 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 book presents the latest information for readers working in biomedical engineering. Each section of Introduction to Neural Engineering for Motor Rehabilitation begins with an overview of techniques before moving on to provide information on the most recent findings. Topics include: INJURIES OF THE NERVOUS SYSTEM—including diseases and injuries of the central nervous system leading to sensory-motor impairment; peripheral and spinal plasticity after nerve injuries; and motor control modules of human movement in health and disease SIGNAL DETECTION AND CONDITIONING—including progress in peripheral neural interfaces; multi-modal, multi-site neuronal recordings for brain research; methods for non-invasive electroencephalograph detection; wavelet denoising and conditioning of neural recordings FUNCTION REPLACEMENT (Prostheses and Orthosis)—including an introduction to upper limb prosthetics; controlling prostheses using peripheral nerve stimulation invasive interfaces for amputees; and exoskeletal robotics for functional substitution FUNCTION RESTORATION—including methods for movement restoration; advanced user interfaces for upper limb functional electrical stimulation; and selectivity of peripheral neural interfaces REHABILITATION THROUGH NEUROMODULATION—including brain-computer interface applied to motor recovery after brain injury; functional electrical therapy of upper extremities; and robotic assisted neurorehabilitation Introduction to Neural Engineering for Motor Rehabilitation is an important textbook and reference for graduate students and researchers in the fields of biomedical and neural engineering.



Signal Processing in Neuroscience

Signal Processing in Neuroscience Author Xiaoli Li
ISBN-10 9789811018220
Release 2016-08-31
Pages 288
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This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists. This new signal-processing tool can be used in conjunction with existing computational tools to analyse neural activity, which is monitored through different sensors such as spike trains, local filed potentials and EEG. The analysis of neural activity can yield vital insights into the function of the brain. This book highlights the contribution of signal processing in the area of computational neuroscience by providing a forum for researchers in this field to share their experiences to date.



Signal Processing for Radiation Detectors

Signal Processing for Radiation Detectors Author Mohammad Nakhostin
ISBN-10 9781119410164
Release 2017-10-05
Pages 528
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Presents the fundamental concepts of signal processing for all application areas of ionizing radiation This book provides a clear understanding of the principles of signal processing of radiation detectors. It puts great emphasis on the characteristics of pulses from various types of detectors and offers a full overview on the basic concepts required to understand detector signal processing systems and pulse processing techniques. Signal Processing for Radiation Detectors covers all of the important aspects of signal processing, including energy spectroscopy, timing measurements, position-sensing, pulse-shape discrimination, and radiation intensity measurement. The book encompasses a wide range of applications so that readers from different disciplines can benefit from all of the information. In addition, this resource: Describes both analog and digital techniques of signal processing Presents a complete compilation of digital pulse processing algorithms Extrapolates content from more than 700 references covering classic papers as well as those of today Demonstrates concepts with more than 340 original illustrations Signal Processing for Radiation Detectors provides researchers, engineers, and graduate students working in disciplines such as nuclear physics and engineering, environmental and biomedical engineering, and medical physics and radiological science, the knowledge to design their own systems, optimize available systems or to set up new experiments.



NeuroQuest

NeuroQuest Author Ki Yong Kwon
ISBN-10 MSU:31293030637734
Release 2010
Pages 160
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NeuroQuest has been writing in one form or another for most of life. You can find so many inspiration from NeuroQuest also informative, and entertaining. Click DOWNLOAD or Read Online button to get full NeuroQuest book for free.



Signal Processing for Neuroscientists

Signal Processing for Neuroscientists Author Wim van Drongelen
ISBN-10 9780128104835
Release 2018-04-20
Pages 740
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Signal Processing for Neuroscientists, Second Edition provides an introduction to signal processing and modeling for those with a modest understanding of algebra, trigonometry and calculus. With a robust modeling component, this book describes modeling from the fundamental level of differential equations all the way up to practical applications in neuronal modeling. It features nine new chapters and an exercise section developed by the author. Since the modeling of systems and signal analysis are closely related, integrated presentation of these topics using identical or similar mathematics presents a didactic advantage and a significant resource for neuroscientists with quantitative interest. Although each of the topics introduced could fill several volumes, this book provides a fundamental and uncluttered background for the non-specialist scientist or engineer to not only get applications started, but also evaluate more advanced literature on signal processing and modeling. Includes an introduction to biomedical signals, noise characteristics, recording techniques, and the more advanced topics of linear, nonlinear and multi-channel systems analysis Features new chapters on the fundamentals of modeling, application to neuronal modeling, Kalman filter, multi-taper power spectrum estimation, and practice exercises Contains the basics and background for more advanced topics in extensive notes and appendices Includes practical examples of algorithm development and implementation in MATLAB Features a companion website with MATLAB scripts, data files, figures and video lectures



Encyclopedia of Computational Neuroscience

Encyclopedia of Computational Neuroscience Author Dieter Jaeger
ISBN-10 1461466741
Release 2015-02-24
Pages 3180
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The annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "Neural Networks" fashionable, and soon the quantitative methods used in these abstract model networks started permeating the methods and ideas of experimental neuroscientists. Although experimental neurophysiological approaches provided many advances, it became increasingly evident that mathematical and computational techniques would be required to achieve a comprehensive and quantitative understanding of neural system function. “Computational Neuroscience” emerged to complement experimental neurophysiology. The Encyclopedia of Computational Neuroscience, published in conjunction with the Organization for Computational Neuroscience, will be an extensive reference work consultable by both researchers and graduate level students. It will be a dynamic, living reference, updatable and containing linkouts and multimedia content whenever relevant.



Omega 3 Fatty Acids in Brain and Neurological Health

Omega 3 Fatty Acids in Brain and Neurological Health Author Ronald Ross Watson
ISBN-10 9780124105478
Release 2014-06-25
Pages 496
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Research has clearly established a link between omega-3 fatty acids and general health, particularly cardiovascular health. Omega-3 Fatty Acids in Brain and Neurological Health is the first book to focus exclusively on the role of omega-3 fatty acids on general brain health. The articles in this collection illustrate omega-3 fatty acids' importance in longevity, cognitive impairment, and structure and function of the brain's neurons. Research has established links between omega-3 fatty acids and the developing brain, aging, dementia, Alzheimer's disease and multiple sclerosis. This book encompasses some of the most recent research, including the role of omega-3 fatty acid supplements on hippocampal neurogenesis, substantia nigra modulation, migraine headaches, the developing brain in animals, sleep, and neurodegenerative diseases. This collection helps to push research forward toward a complete understanding of omega-3 fatty acids' relationship to brain and neurological health. The first book-length collection of original research on the connection between omega-3 fatty acids and the brain Provides a comprehensive introduction to the state of research on omega-3 fatty acids and the brain and directions for future research A foundational collection for neuroscience, neurology, and nutrition research



EEG Signal Processing

EEG Signal Processing Author Saeid Sanei
ISBN-10 9781118691236
Release 2013-05-28
Pages 312
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Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.



Information Theoretic Learning

Information Theoretic Learning Author Jose C. Principe
ISBN-10 1441915702
Release 2010-04-06
Pages 448
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This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.



Fundamentals of Electrical Engineering I

Fundamentals of Electrical Engineering I Author Don Johnson
ISBN-10 1616100370
Release 2009-09-01
Pages 312
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Fundamentals of Electrical Engineering I has been writing in one form or another for most of life. You can find so many inspiration from Fundamentals of Electrical Engineering I also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Fundamentals of Electrical Engineering I book for free.



Guide to Brain Computer Music Interfacing

Guide to Brain Computer Music Interfacing Author Eduardo Reck Miranda
ISBN-10 9781447165842
Release 2014-10-03
Pages 313
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This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information. Features: reviews important techniques for hands-free interaction with computers, including event-related potentials with P300 waves; explores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotions; offers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveys; describes how BCMI research advocates the importance of better scientific understanding of the brain for its potential impact on musical creativity; presents broad coverage of this emerging, interdisciplinary area, from hard-core EEG analysis to practical musical applications.



Critical Neuroscience

Critical Neuroscience Author Suparna Choudhury
ISBN-10 9781444343335
Release 2011-09-07
Pages 408
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Critical Neuroscience: A Handbook of the Social and Cultural Contexts of Neuroscience brings together multi-disciplinary scholars from around the world to explore key social, historical and philosophical studies of neuroscience, and to analyze the socio-cultural implications of recent advances in the field. This text’s original, interdisciplinary approach explores the creative potential for engaging experimental neuroscience with social studies of neuroscience while furthering the dialogue between neuroscience and the disciplines of the social sciences and humanities. Critical Neuroscience transcends traditional skepticism, introducing novel ideas about ‘how to be critical’ in and about science.



Adaptive Processing of Brain Signals

Adaptive Processing of Brain Signals Author Saeid Sanei
ISBN-10 9781118622148
Release 2013-05-28
Pages 472
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In this book, the field of adaptive learning and processing is extended to arguably one of its most important contexts which is the understanding and analysis of brain signals. No attempt is made to comment on physiological aspects of brain activity; instead, signal processing methods are developed and used to assist clinical findings. Recent developments in detection, estimation and separation of diagnostic cues from different modality neuroimaging systems are discussed. These include constrained nonlinear signal processing techniques which incorporate sparsity, nonstationarity, multimodal data, and multiway techniques. Key features: Covers advanced and adaptive signal processing techniques for the processing of electroencephalography (EEG) and magneto-encephalography (MEG) signals, and their correlation to the corresponding functional magnetic resonance imaging (fMRI) Provides advanced tools for the detection, monitoring, separation, localising and understanding of functional, anatomical, and physiological abnormalities of the brain Puts a major emphasis on brain dynamics and how this can be evaluated for the assessment of brain activity in various states such as for brain-computer interfacing emotions and mental fatigue analysis Focuses on multimodal and multiway adaptive processing of brain signals, the new direction of brain signal research



Analysis of Parallel Spike Trains

Analysis of Parallel Spike Trains Author Sonja Grün
ISBN-10 1441956751
Release 2010-08-18
Pages 444
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Solid and transparent data analysis is the most important basis for reliable interpretation of experiments. The technique of parallel spike train recordings using multi-electrode arrangements has been available for many decades now, but only recently gained wide popularity among electro physiologists. Many traditional analysis methods are based on firing rates obtained by trial-averaging, and some of the assumptions for such procedures to work can be ignored without serious consequences. The situation is different for correlation analysis, the result of which may be considerably distorted if certain critical assumptions are violated. The focus of this book is on concepts and methods of correlation analysis (synchrony, patterns, rate covariance), combined with a solid introduction into approaches for single spike trains, which represent the basis of correlations analysis. The book also emphasizes pitfalls and potential wrong interpretations of data due to violations of critical assumptions.