Brain-machine interface engineering

• Main Author: Sanchez, Justin Cort.
• Other Authors: Príncipe, J. C.
• Format: Electronic
• Language: English
• Published: San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2007.
• Series: Synthesis lectures on biomedical engineering, #17.
• Subjects: Brain-computer interfaces.; Computational neuroscience.; Neural networks (Computer science); Bioengineering.
• Online Access: Abstract with links to resource
• Item Description: Part of: Synthesis digital library of engineering and computer science.; Title from PDF t.p. (viewed on Nov. 4, 2008).; Series from website.
• Physical Description: 1 electronic text (ix, 234 p. : col. ill.) : digital file.; Also available in print.
• Format: Mode of access: World Wide Web.; System requirements: Adobe Acrobat Reader.
• Bibliography: Includes bibliographical references.
• ISBN: 1598290355 (electronic bk.); 9781598290356 (electronic bk.); 1598290347 (pbk.); 9781598290349 (pbk.)
• ISSN: 1930-0336
• Access: Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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.