Overview
Highlighting the contribution of signal processing in the area of computational neuroscience
Introducing the cutting-edge development in neural signaling processing
Written by experts in this field
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Table of contents (14 chapters)
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Front Matter
Keywords
About this book
This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP.
Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists. This new signal-processing tool can be used in conjunction with existing computational tools to analyse neural activity, which is monitored through different sensors such as spike trains, local filed potentials and EEG. The analysis of neural activity can yield vital insights into the function of the brain. This book highlights the contribution of signal processing in the area of computational neuroscience by providing a forum for researchers in this field to share their experiences to date.
Editors and Affiliations
About the editor
Dr. Xiaoli Li is a Professor from State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University. He is the committee member of Medical Neural Engineering Branch of Chinese Society of Biomedical Engineering. He serves as the editor for the journal “International Journal of Tomography & Stimulation” and “International Journal of Applied Mathematics & Statistics”. Prof. Li’s research interests include neural engineering, bio-signal processing and intelligent monitoring. He has published more than 100 research articles on different international journals.
Bibliographic Information
Book Title: Signal Processing in Neuroscience
Editors: Xiaoli Li
DOI: https://doi.org/10.1007/978-981-10-1822-0
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media Singapore 2016
Hardcover ISBN: 978-981-10-1821-3Published: 07 September 2016
Softcover ISBN: 978-981-10-9453-8Published: 21 April 2018
eBook ISBN: 978-981-10-1822-0Published: 31 August 2016
Edition Number: 1
Number of Pages: VI, 288
Number of Illustrations: 19 b/w illustrations, 87 illustrations in colour
Topics: Neurosciences, Computational Biology/Bioinformatics, Biomedical Engineering and Bioengineering