Format:
Online-Ressource (VIII, 178 S.)
,
Ill., graph. Darst.
Edition:
1. ed.
Edition:
Online-Ausg. Amsterdam Elsevier Science & Technology 2010 Elsevier e-book collection - Neuroscience Electronic reproduction; Mode of access: World Wide Web
ISBN:
1282770292
,
9781282770294
,
9780123849168
,
0123849160
Series Statement:
Elsevier insights
Content:
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 towards some of the more complex analysis techniques. This book is a companion to the previously published book, '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 mulit-channel recordings
Content:
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 analysisIncludes practical examples implemented in MATLABProvides multiple references to the basics to help the student
Note:
Includes bibliographical references
,
Lomb's Algorithm and the Hilbert TransformModeling -- Volterra Series -- Wiener Series -- Poisson-Wiener Series -- Decomposition of Multi-Channel Data -- Causality.
,
Electronic reproduction; Mode of access: World Wide Web
Additional Edition:
ISBN 0123849152
Additional Edition:
ISBN 1282770136
Additional Edition:
ISBN 9780123849151
Additional Edition:
ISBN 9780123849151
Additional Edition:
Erscheint auch als Druck-Ausgabe Signal processing for neuroscientists
Language:
English
Keywords:
Electronic books
URL:
Volltext
(An electronic book accessible through the World Wide Web; click for information)
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