Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Electromagnetic brain imaging = a ba...
~
SpringerLink (Online service)
Electromagnetic brain imaging = a bayesian perspective /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Electromagnetic brain imaging/ by Kensuke Sekihara, Srikantan S. Nagarajan.
Reminder of title:
a bayesian perspective /
Author:
Sekihara, Kensuke.
other author:
Nagarajan, Srikantan S.
Published:
Cham :Springer International Publishing : : 2015.,
Description:
xiv, 270 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Magnetoencephalography - Mathematical models. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-14947-9
ISBN:
9783319149479 (electronic bk.)
Electromagnetic brain imaging = a bayesian perspective /
Sekihara, Kensuke.
Electromagnetic brain imaging
a bayesian perspective /[electronic resource] :by Kensuke Sekihara, Srikantan S. Nagarajan. - Cham :Springer International Publishing :2015. - xiv, 270 p. :ill., digital ;24 cm.
This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields, and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.
ISBN: 9783319149479 (electronic bk.)
Standard No.: 10.1007/978-3-319-14947-9doiSubjects--Topical Terms:
1066157
Magnetoencephalography
--Mathematical models.
LC Class. No.: RC386.6.M36
Dewey Class. No.: 616.8047547
Electromagnetic brain imaging = a bayesian perspective /
LDR
:01451nam a2200277 a 4500
001
836230
003
DE-He213
005
20150911134309.0
006
m d
007
cr nn 008maaau
008
160421s2015 gw s 0 eng d
020
$a
9783319149479 (electronic bk.)
020
$a
9783319149462 (paper)
024
7
$a
10.1007/978-3-319-14947-9
$2
doi
035
$a
978-3-319-14947-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
RC386.6.M36
082
0 4
$a
616.8047547
$2
23
090
$a
RC386.6.M36
$b
S463 2015
100
1
$a
Sekihara, Kensuke.
$3
680641
245
1 0
$a
Electromagnetic brain imaging
$h
[electronic resource] :
$b
a bayesian perspective /
$c
by Kensuke Sekihara, Srikantan S. Nagarajan.
260
$a
Cham :
$c
2015.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
xiv, 270 p. :
$b
ill., digital ;
$c
24 cm.
520
$a
This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields, and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.
650
0
$a
Magnetoencephalography
$x
Mathematical models.
$3
1066157
650
0
$a
Magnetoencephalography
$x
Data processing.
$3
1066158
650
1 4
$a
Biomedicine.
$3
593880
650
2 4
$a
Neurosciences.
$3
593561
650
2 4
$a
Biomedical Engineering.
$3
588771
650
2 4
$a
Neurobiology.
$3
573189
700
1
$a
Nagarajan, Srikantan S.
$3
1066156
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-14947-9
950
$a
Biomedical and Life Sciences (Springer-11642)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login