Brain-machine Interface Engineering

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Morgan & Claypool Publishers, 2007 - Medical - 234 pages
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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.

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Introduction to Neural Interfaces
Foundations of Neuronal Representations
InputOutput BMI Models
Regularization Techniques for BMI Models
Neural Decoding Using Generative BMI Models
Adaptive Algorithms for Point Processes
BMI Systems
Author Biography

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Page 15 - Visual perception in a blind subject with a chronic microelectronic retinal prosthesis', Vision Res., 43(24), 2573-2581.
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Page 18 - Comparisons of MEG, EEG, and ECoG source localization in neocortical partial epilepsy in humans.
Page 17 - High resolution EEG: A new model-dependent spatial deblurring method using a realistically-shaped MR-constructed subject's head model, Electroencephalogr.