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Title Statistical signal processing for neuroscience and neurotechnology / edited by Karim G. Oweiss
Published Burlington, MA : Academic Press/Elsevier, [2010]
Online access available from:
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Description 1 online resource (xxii, 411 pages) : illustrations
Contents Detection and classification of extracellular action potential recordings / Karim G. Oweiss and Mehdi A. Aghagolzadeh -- Information-theoretic analysis of neural data / Don H. Johnson -- Identification of nonlinear dynamics in neural population activity / Dong Song and Theodore W. Berger -- Graphical models of functional and effective neuronal connectivity / Seif M. Eldawlatly and Karim G. Oweiss -- State-space modeling of neural spike train and behavioral data / Zhe Chen, Riccardo Barbieri, and Emery N. Brown -- Neural decoding for motor and communication prostheses / Byron M. Yu ... [et al.] -- Inner products for representation and learning in the spike train domain / Antonio R.C. Paiva, Il Park, and Josâe C. Prâincipe -- Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI / Paul Sajda ... [et al.] -- Statistical pattern recognition and machine learning in brain-computer interfaces / Rajesh P.N. Rao and Reinhold Scherer -- Prediction of muscle activity from cortical signals to restore hand grasp in subjects with spinal cord injury / Emily R. Oby ... [et al.]
Summary 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
Notes Description based on print version record
Bibliography Includes bibliographical references and index
Notes Mode of access: World Wide Web
Systems requirements: Internet connectivity, World Wide Web browser, and Adobe Acrobat reader
Subject Brain mapping.
Signal processing -- Digital techniques.
Brain -- physiology.
Signal Processing, Computer-Assisted.
Brain Mapping -- instrumentation.
Man-Machine Systems.
Prostheses and Implants.
User-Computer Interface.
Form Electronic book
Author Oweiss, Karim G.
ISBN 0080962963 (electronic bk.)
9780080962962 (electronic bk.)