Dynamic Neuroscience

Statistics, Modeling, and Control

Nonfiction, Science & Nature, Technology, Electronics, Engineering, Health & Well Being, Medical
Cover of the book Dynamic Neuroscience by , Springer International Publishing
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Author: ISBN: 9783319719764
Publisher: Springer International Publishing Publication: December 27, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319719764
Publisher: Springer International Publishing
Publication: December 27, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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