國立高雄大學圖資館 |

Language: English

Back

Signal processing for neuroscientist...

Drongelen, Wim van.

Signal processing for neuroscientistsa companion volume : advanced topics, nonlinear techniques and multi-channel analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Signal processing for neuroscientistsWim van Drongelen.
Reminder of title:	a companion volume : advanced topics, nonlinear techniques and multi-channel analysis /
Author:	Drongelen, Wim van.
Published:	Oxford :Elsevier,2010.
Description:	p. cm.
Subject:	NeurologyMathematical models.
Online resource:	An electronic book accessible through the World Wide Web; click for information
ISBN:	9780123849151

Signal processing for neuroscientistsa companion volume : advanced topics, nonlinear techniques and multi-channel analysis /
Drongelen, Wim van.

Signal processing for neuroscientistsa companion volume : advanced topics, nonlinear techniques and multi-channel analysis /[electronic resource] :Wim van Drongelen. - Oxford :Elsevier,2010. - p. cm.

Includes bibliographical references.

Lomb's Algorithm and the Hilbert Transform -- Modeling -- Volterra Series -- Wiener Series -- Poisson-Wiener Series -- Decomposition of Multi-Channel Data -- Causality.

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.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2010.

Mode of access: World Wide Web.

ISBN: 9780123849151

Source: 1101653:10954061Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

328870
Neurology
--Mathematical models.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: RC346 / .D76 2010

Dewey Class. No.: 610.28

Signal processing for neuroscientistsa companion volume : advanced topics, nonlinear techniques and multi-channel analysis /
LDR:02909cmm 2200337Ia 4500 001 288343
003 OCoLC
005 20110614113946.0
006 m d
007 cr cn|||||||||
008 110628s2010 enka s 000 0 eng d
020 $a 9780123849151
020 $a 0123849152
029 1 $a NZ1 $b 13642329
035 $a (OCoLC)668210528
035 $a ocn668210528
037 $a 1101653:10954061 $b Elsevier Science & Technology $n http://www.sciencedirect.com
040 $a OPELS $b eng $c OPELS $d CDX $d OPELS
049 $a TEFA
050 4 $a RC346 $b .D76 2010
082 0 4 $a 610.28 $2 22
100 1 $a Drongelen, Wim van. $3 328868
245 1 0 $a Signal processing for neuroscientists $h [electronic resource] : $b a companion volume : advanced topics, nonlinear techniques and multi-channel analysis / $c Wim van Drongelen.
260 $a Oxford : $b Elsevier, $c 2010.
300 $a p. cm.
504 $a Includes bibliographical references.
505 0 $a Lomb's Algorithm and the Hilbert Transform -- Modeling -- Volterra Series -- Wiener Series -- Poisson-Wiener Series -- Decomposition of Multi-Channel Data -- Causality.
520 $a 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.
533 $a Electronic reproduction. $b Amsterdam : $c Elsevier Science & Technology, $d 2010. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Title from title screen (viewed on Sep. 27, 2010). $n Access may be restricted to users at subscribing institutions.
650 0 $a Neurology $x Mathematical models. $3 328870
650 0 $a Signal processing $x Digital techniques. $3 182126
650 0 $a Neurosciences $x Data processing. $3 328869
655 7 $a Electronic books. $2 local. $3 214472
710 2 $a ScienceDirect (Online service) $3 307425
776 0 8 $i Print version: $a Drongelen, Wim van. $t Signal processing for neuroscientists. $d Oxford : Elsevier, 2010 $z 9780123849151 $w (OCoLC)645672579
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780123849151 $z An electronic book accessible through the World Wide Web; click for information
938 $a Coutts Information Services $b COUT $n 15337661
994 $a C0 $b TEF