Brain-machine interface engineering
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 …
Read More ↓Title Statements
- Full title :Brain-machine interface engineering / Justin C. Sanchez and José C. Principe.
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.
Read More ↓Edition Statements
- Publication Date:©2007.
Publication Statements
- Publisher(s):Morgan & Claypool Publishers
- Place of Publication:San Rafael, Calif
- Language:eng
- Publication Date:©2007.
Notes
Visionné le 2 juin 2009.
In : Synthesis digital library of engineering and computer science.
The Physical Object
- Description:1 ressource en ligne (ix, 234 pages) : : illustrations en couleur
Edition Identifiers
- ISBN:1598290355, 9781598290356, 1598290347, 9781598290349
- oclc:ocn437799566
- LC Classification:QP360.7
- Dewey Decimal:620.8/2
Table of 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 --…
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