Signal Processing for Neuroscientists, A Companion Volume

Advanced Topics, Nonlinear Techniques and Multi-Channel Analysis

Nonfiction, Science & Nature, Science, Biological Sciences, Biochemistry, Health & Well Being, Medical, Specialties, Internal Medicine, Neuroscience
Cover of the book Signal Processing for Neuroscientists, A Companion Volume by Wim van Drongelen, Elsevier Science
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Author: Wim van Drongelen ISBN: 9780123849168
Publisher: Elsevier Science Publication: August 26, 2010
Imprint: Elsevier Language: English
Author: Wim van Drongelen
ISBN: 9780123849168
Publisher: Elsevier Science
Publication: August 26, 2010
Imprint: Elsevier
Language: English

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 now very common. In addition, neuroscience has entered the age of light, and fluorescence measurements are fully integrated into the researcher’s toolkit. Because each image in a movie contains multiple pixels, these measurements are multi-channel by nature. Furthermore, the availability of both generic and specialized software packages for data analysis has altered the neuroscientist’s attitude toward some of the more complex analysis techniques.

This book is a companion to the previously published Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals, which introduced readers to the basic concepts. It discusses several advanced techniques, rediscovers methods to describe nonlinear systems, and examines the analysis of multi-channel recordings.

  • Covers the more advanced topics of linear and nonlinear systems analysis and multi-channel analysis
  • Includes practical examples implemented in MATLAB
  • Provides multiple references to the basics to help the student
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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 now very common. In addition, neuroscience has entered the age of light, and fluorescence measurements are fully integrated into the researcher’s toolkit. Because each image in a movie contains multiple pixels, these measurements are multi-channel by nature. Furthermore, the availability of both generic and specialized software packages for data analysis has altered the neuroscientist’s attitude toward some of the more complex analysis techniques.

This book is a companion to the previously published Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals, which introduced readers to the basic concepts. It discusses several advanced techniques, rediscovers methods to describe nonlinear systems, and examines the analysis of multi-channel recordings.

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