Brain-Machine Interface Engineering (Paperback)

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

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Synthesis Lectures on Biomedical Engineering
Release date:	December 2007
First published:	2007
Authors:	Justin Sanchez • Jose C. Principe
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	234
ISBN-13:	978-3-03-100493-3
Languages:	English
Subtitles:	English
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics Promotions
LSN:	3-03-100493-0
Barcode:	9783031004933

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