Neural Engineering contains reviews and discussions of contemporary and relevant topics by leading investigators in this field. It is intended to serve as a textbook at the graduate and advanced undergraduate level in a bioengineering curriculum. The topics include: * Neural Interfacing, * Neural Robotics, * Functional Neural Stimulation, * Neural Imaging, * Neural Computation, * Neural Networks, * Neural System Identification and Prediction, * Retinal Neuroengineering. This principles and applications approach to neural engineering is essential reading for all academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals wishing to take advantage of the latest and greatest in this emerging field.
CITATION STYLE
Brockmeier, A. J., & Príncipe, J. C. (2013). Decoding Algorithms for Brain–Machine Interfaces. In Neural Engineering (pp. 223–257). Springer US. https://doi.org/10.1007/978-1-4614-5227-0_4
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