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Dynamic neuroscience = statistics, m...

Chen, Zhe.

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Dynamic neuroscience = statistics, modeling, and control /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Dynamic neuroscience/ edited by Zhe Chen, Sridevi V. Sarma.
Reminder of title:	statistics, modeling, and control /
other author:	Chen, Zhe.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xxi, 328 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Neurosciences - Research. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-71976-4
ISBN:	9783319719764

Dynamic neuroscience = statistics, modeling, and control /
Dynamic neurosciencestatistics, modeling, and control /[electronic resource] :edited by Zhe Chen, Sridevi V. Sarma. - Cham :Springer International Publishing :2018. - xxi, 328 p. :ill., digital ;24 cm.

This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers. 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.

ISBN: 9783319719764

Standard No.: 10.1007/978-3-319-71976-4doiSubjects--Topical Terms:

783155
Neurosciences
--Research.

LC Class. No.: RC337

Dewey Class. No.: 616.80072

Dynamic neuroscience = statistics, modeling, and control /
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520 $a This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers. 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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