Signal Processing for Neuroscientists, A Companion Volume: Advanced Topics, Nonlinear Techniques…

Other | August 26, 2010

byWim Van Drongelen, Wim Van Drongelen

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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 publishedSignal 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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From the Publisher

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 measurement...

Wim van Drongelen studied Biophysics at the University Leiden, The Netherlands. After a period in the Laboratoire d'Electrophysiologie, Université Claude Bernard, Lyon, France, he received the Doctoral degree cum laude. In 1980 he received the Ph.D. degree.He worked for the Netherlands Organization for the Advancement of Pure Research ...

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Format:OtherDimensions:186 pages, 1 × 1 × 1 inPublished:August 26, 2010Publisher:Elsevier Science & TechLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0123849160

ISBN - 13:9780123849168

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Table of Contents

1. Lomb's Algorithm and the Hilbert Transform

2. Modeling

3. Volterra Series

4. Wiener Series

5. Poisson-Wiener Series

6. Decomposition of Multi-Channel Data

7. Causality

References