Statistical Signal Processing for Neuroscience and Neurotechnology (Hardcover)

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems.
Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience.
A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing communityContains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience researchPresents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	September 2010
First published:	August 2010
Editors:	Karim G. Oweiss
Dimensions:	265 x 191 x 28mm (L x W x T)
Format:	Hardcover
Pages:	433
ISBN-13:	978-0-12-375027-3
Categories:	Books > Computing & IT > Applications of computing > Signal processing Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
LSN:	0-12-375027-X
Barcode:	9780123750273

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