Overview
Presents innovative methodological and algorithmic development in statistics, modeling, control, and signal processing for neural data analysis;
Includes a coherent framework for a broad class of neural signal processing and control problems in neuroscience;
Covers a wide range of representative case studies in neuroscience applications.
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Table of contents (13 chapters)
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Statistics & Signal Processing
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Modeling and Control Theory
Keywords
- Neural signal processing
- Neuronal coding theories
- Neural engineering
- Neural activity
- State-space paradigm
- Hippocampal replay
- Oscillatory and multivariate data
- Gaussian approximation
- Applications to neuronal data
- Dynamical system model of behavior
- Neuronal population theories
- Brain-machine interface systems
- Enteric nervous system
- High-resolution electrogastrogram
- Theoretical neuroscience
- Statistical neuroscience
About this book
Reviews
Editors and Affiliations
About the editors
Sridevi Sarma is Associate Professor in the Department of Biomedical Engineering at Johns Hopkins University (JHU), having previously worked at Massachusetts Institute of Technology and Harvard Medical School. She is the Associate Director of the Institute for Computational Medicine at JHU. Professor Sarma is a recipient of the GE faculty for the future scholarship, a L'Oreal For Women in Science fellow, the Burroughs Wellcome Fund Careers at the Scientific Interface Award, the Krishna Kumar New Investigator Award from the North American Neuromodulation Society (NANS), and the Presidential Early Career Award for Scientists and Engineers (PECASE).
Bibliographic Information
Book Title: Dynamic Neuroscience
Book Subtitle: Statistics, Modeling, and Control
Editors: Zhe Chen, Sridevi V. Sarma
DOI: https://doi.org/10.1007/978-3-319-71976-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-71975-7Published: 09 March 2018
Softcover ISBN: 978-3-030-10139-8Published: 11 February 2019
eBook ISBN: 978-3-319-71976-4Published: 27 December 2017
Edition Number: 1
Number of Pages: XXI, 327
Number of Illustrations: 18 b/w illustrations, 62 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Signal, Image and Speech Processing, Computational Biology/Bioinformatics, Neurosciences, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Mathematical Models of Cognitive Processes and Neural Networks