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Brain-machine interface engineering [electronic resource] / Justin C. Sanchez and José C. Principe

Author
Sanchez, Justin Cort
Published
San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, [2007]
Copyright Date
©2007
Physical Description
1 electronic text (ix, 234 pages : color illustrations) : digital file
Additional Creators
Príncipe, J. C. (José C.)
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Restrictions on Access
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Contents
Introduction to neural interfaces -- Types of brain-machine interfaces -- Beyond state-of-the-art technology -- Computational modeling -- Generation of communication and control signals in the brain -- Motor BMIs -- Foundations of neuronal representations -- Cytoarchitecture -- Connectionism -- Neural signaling and electric fields of the brain -- Spiking models for the neuron -- Stochastic modeling -- Neural coding and decoding -- Methods of kinematic and dynamic representation -- Modeling and assumptions -- Implications for BMI signal processing -- Input-output BMI models -- Multivariate linear models -- Nonlinear models -- Regularization techniques for BMI models -- Least squares and regularization theory -- Channel selection experimental results -- Neural decoding using generative BMI models -- Population vector coding -- Sequential estimation -- Kalman filter -- Particle filters -- Hidden markov models -- Adaptive algorithms for point processes -- Adaptive filtering for point processes with a Gaussian assumption -- Monte Carlo sequential estimation for point processes -- Simulation of Monte Carlo sequential estimation using spike trains -- Encoding/decoding in motor control -- BMI systems -- Sensing neuronal activity : the electrodes -- Amplification -- The PICO system -- Portable DSP designs : the neural signal processor -- Florida wireless implantable recording electrodes.
Summary
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.
Subject(s)
ISBN
1598290355 (electronic bk.)
9781598290356 (electronic bk.)
1598290347 (pbk.)
9781598290349 (pbk.)
Related Titles
Synthesis digital library of engineering and computer science
Note
Part of: Synthesis digital library of engineering and computer science.
Title from PDF t.p. (viewed on Nov. 4, 2008).
Series from website.
Bibliography Note
Includes bibliographical references.
Other Forms
Also available in print.
Technical Details
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
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View MARC record | catkey: 7058199