Cargando…
Electromagnetic Brain Imaging A Bayesian Perspective /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
| Edición: | 1st ed. 2015. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-14947-9 | ||
| 003 | DE-He213 | ||
| 005 | 20220120003157.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150220s2015 sz | s |||| 0|eng d | ||
| 020 | |a 9783319149479 |9 978-3-319-14947-9 | ||
| 024 | 7 | |a 10.1007/978-3-319-14947-9 |2 doi | |
| 050 | 4 | |a RC321-580 | |
| 072 | 7 | |a PSAN |2 bicssc | |
| 072 | 7 | |a MED057000 |2 bisacsh | |
| 072 | 7 | |a PSAN |2 thema | |
| 082 | 0 | 4 | |a 612.8 |2 23 |
| 100 | 1 | |a Sekihara, Kensuke. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Electromagnetic Brain Imaging |h [electronic resource] : |b A Bayesian Perspective / |c by Kensuke Sekihara, Srikantan S. Nagarajan. |
| 250 | |a 1st ed. 2015. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2015. | |
| 300 | |a XIV, 270 p. 32 illus., 27 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Introduction to Electromagnetic Brain Imaging -- Minimum-Norm-Based Source Imaging Algorithms -- Adaptive Beamformers -- Sparse Bayesian (Champagne) Algorithm -- Bayesian Factor Analysis: A Versatile Framework -- A Unified Bayesian Framework for MEG/EEG Source -- Source-Space Connectivity Analysis Using Imaginary -- Estimation of Causal Networks: Source-Space Causality Analysis -- Detection of Phase-Amplitude Coupling in MEG Source Space: An Empirical Study. | |
| 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 Neurosciences. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 1 | 4 | |a Neuroscience. |
| 650 | 2 | 4 | |a Biomedical Engineering and Bioengineering. |
| 700 | 1 | |a Nagarajan, Srikantan S. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319149486 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319149462 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319356433 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-14947-9 |z Texto Completo |
| 912 | |a ZDB-2-SBL | ||
| 912 | |a ZDB-2-SXB | ||
| 950 | |a Biomedical and Life Sciences (SpringerNature-11642) | ||
| 950 | |a Biomedical and Life Sciences (R0) (SpringerNature-43708) | ||