Signal Processing for Neuroscientists

Written By Wim van Drongelen
Signal Processing for Neuroscientists
  • Publsiher : Academic Press
  • Release : 20 April 2018
  • ISBN : 012810483X
  • Pages : 740 pages
  • Rating : /5 from reviews
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Download or read book entitled Signal Processing for Neuroscientists by author: Wim van Drongelen which was release on 20 April 2018 and published by Academic Press with total page 740 pages . This book available in PDF, EPUB and Kindle Format. Signal Processing for Neuroscientists, Second Edition provides an introduction to signal processing and modeling for those with a modest understanding of algebra, trigonometry and calculus. With a robust modeling component, this book describes modeling from the fundamental level of differential equations all the way up to practical applications in neuronal modeling. It features nine new chapters and an exercise section developed by the author. Since the modeling of systems and signal analysis are closely related, integrated presentation of these topics using identical or similar mathematics presents a didactic advantage and a significant resource for neuroscientists with quantitative interest. Although each of the topics introduced could fill several volumes, this book provides a fundamental and uncluttered background for the non-specialist scientist or engineer to not only get applications started, but also evaluate more advanced literature on signal processing and modeling. Includes an introduction to biomedical signals, noise characteristics, recording techniques, and the more advanced topics of linear, nonlinear and multi-channel systems analysis Features new chapters on the fundamentals of modeling, application to neuronal modeling, Kalman filter, multi-taper power spectrum estimation, and practice exercises Contains the basics and background for more advanced topics in extensive notes and appendices Includes practical examples of algorithm development and implementation in MATLAB Features a companion website with MATLAB scripts, data files, figures and video lectures

Signal Processing for Neuroscientists

Signal Processing for Neuroscientists
  • Author : Wim van Drongelen
  • Publisher : Academic Press
  • Release Date : 2018-04-20
  • Total pages : 740
  • ISBN : 012810483X
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Summary : Signal Processing for Neuroscientists, Second Edition provides an introduction to signal processing and modeling for those with a modest understanding of algebra, trigonometry and calculus. With a robust modeling component, this book describes modeling from the fundamental level of differential equations all the way up to practical applications in neuronal ...

Web Application Obfuscation

Web Application Obfuscation
  • Author : Mario Heiderich,Eduardo Alberto Vela Nava,Gareth Heyes,David Lindsay
  • Publisher : Elsevier
  • Release Date : 2011-01-13
  • Total pages : 296
  • ISBN : 012810483X
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Summary : Web applications are used every day by millions of users, which is why they are one of the most popular vectors for attackers. Obfuscation of code has allowed hackers to take one attack and create hundreds-if not millions-of variants that can evade your security measures. Web Application Obfuscation takes a ...

Statistical Signal Processing for Neuroscience and Neurotechnology

Statistical Signal Processing for Neuroscience and Neurotechnology
  • Author : Karim G. Oweiss
  • Publisher : Academic Press
  • Release Date : 2010-09-22
  • Total pages : 433
  • ISBN : 012810483X
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Summary : 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 ...

Signal Processing for Neuroscientists

Signal Processing for Neuroscientists
  • Author : Wim van Drongelen
  • Publisher : Unknown
  • Release Date : 2007
  • Total pages : 308
  • ISBN : 012810483X
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Summary : Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and ...

Signal Processing in Neuroscience

Signal Processing in Neuroscience
  • Author : Xiaoli Li
  • Publisher : Springer
  • Release Date : 2016-08-31
  • Total pages : 288
  • ISBN : 012810483X
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Summary : 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 ...

Signal Processing for Neuroscientists

Signal Processing for Neuroscientists
  • Author : Wim van Drongelen
  • Publisher : Elsevier
  • Release Date : 2006-12-18
  • Total pages : 320
  • ISBN : 012810483X
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Summary : Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and ...

Time Frequency Analysis

Time Frequency Analysis
  • Author : Boualem Boashash
  • Publisher : Elsevier
  • Release Date : 2003-10-16
  • Total pages : 770
  • ISBN : 012810483X
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Summary : Time Frequency Signal Analysis and Processing covers fundamental concepts, principles and techniques, treatment of specialised and advanced topics, methods and applications, including results of recent research. This book deals with the modern methodologies, key techniques and concepts that form the core of new technologies used in IT, multimedia, telecommunications as ...

Neural Modeling

Neural Modeling
  • Author : Ronald MacGregor
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 414
  • ISBN : 012810483X
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Summary : The purpose of this book is to introduce and survey the various quantitative methods which have been proposed for describing, simulating, embodying, or characterizing the processing of electrical signals in nervous systems. We believe that electrical signal processing is a vital determinant of the functional organization of the brain, and ...

Signal Processing for Neuroscientists A Companion Volume

Signal Processing for Neuroscientists  A Companion Volume
  • Author : Wim van Drongelen
  • Publisher : Elsevier
  • Release Date : 2010-08-26
  • Total pages : 186
  • ISBN : 012810483X
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Summary : The popularity of signal processing in neuroscience is increasing, and with the current availability and development of computer hardware and software, it is anticipated that the current growth will continue. Because electrode fabrication has improved and measurement equipment is getting less expensive, electrophysiological measurements with large numbers of channels are ...

Dynamic Neuroscience

Dynamic Neuroscience
  • Author : Zhe Chen,Sridevi V. Sarma
  • Publisher : Springer
  • Release Date : 2017-12-27
  • Total pages : 327
  • ISBN : 012810483X
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Summary : 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 ...

Correlative Learning

Correlative Learning
  • Author : Zhe Chen,Simon Haykin,Jos J. Eggermont,Suzanna Becker
  • Publisher : John Wiley & Sons
  • Release Date : 2008-01-07
  • Total pages : 480
  • ISBN : 012810483X
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Summary : Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well ...

EEG Signal Processing and Machine Learning

EEG Signal Processing and Machine Learning
  • Author : Saeid Sanei,Jonathon A. Chambers
  • Publisher : Wiley
  • Release Date : 2021-06-08
  • Total pages : 380
  • ISBN : 012810483X
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Summary : The book aims at describing new techniques and outcomes in electroencephalogram (EEG) research mainly in analysis, processing and decision making about various brain states, abnormalities, and disorders by means of advance signal processing and machine learning techniques respectively....

EEG Signal Processing and Feature Extraction

EEG Signal Processing and Feature Extraction
  • Author : Li Hu,Zhiguo Zhang
  • Publisher : Springer Nature
  • Release Date : 2019-10-12
  • Total pages : 437
  • ISBN : 012810483X
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Summary : This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, ...

Time Frequency Signal Analysis and Processing

Time Frequency Signal Analysis and Processing
  • Author : Boualem Boashash
  • Publisher : Academic Press
  • Release Date : 2015-12-11
  • Total pages : 1056
  • ISBN : 012810483X
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Summary : Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insights into how ...

Dynamic Neuroscience

Dynamic Neuroscience
  • Author : Zhe Chen,Sridevi V. Sarma
  • Publisher : Springer
  • Release Date : 2018-03-09
  • Total pages : 327
  • ISBN : 012810483X
GET BOOK

Summary : 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 ...