Statistical Parametric Mapping : the Analysis of Functional Brain Images.

Describes the theoretical background behind Statistical Parametric Mapping and provides operational guidelines and technical details on data analysis.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Friston, Karl J.
Otros Autores: Ashburner, John T., Kiebel, Stefan J., Nichols, Thomas E., Penny, William D.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Burlington : Elsevier, 2006.
Temas:
Brain > Imaging > Mathematical models.
Brain mapping.
Statistics > Graphic methods.
Brain Mapping
Cerveau > Imagerie > Modèles mathématiques.
Cartographie cérébrale.
Statistique > Méthodes graphiques.
Brain mapping
Statistics > Graphic methods
Acceso en línea:Texto completo

MARC

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050 4 |a RC473.B7 S73 2007eb 
082 0 4 |a 611.810222 
049 |a UAMI 
100 1 |a Friston, Karl J. 
245 1 0 |a Statistical Parametric Mapping :  |b the Analysis of Functional Brain Images. 
260 |a Burlington :  |b Elsevier,  |c 2006. 
300 |a 1 online resource (689 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
505 0 |a Front Cover; Statistical Parametric Mapping; Copyright Page; Table of Contents; Acknowledgements; Chapter 1 A short history of SPM; Chapter 2 Statistical parametric mapping; Chapter 3 Modelling brain responses; Chapter 4 Rigid Body Registration; Chapter 5 Non-linear Registration; Chapter 6 Segmentation; Chapter 7 Voxel-Based Morphometry; Chapter 8 The General Linear Model; Chapter 9 Contrasts and Classical Inference; Chaper 10 Covariance Components; Chapter 11 Hierarchical Models; Chapter 12 Random Effects Analysis; Chapter 13 Analysis of Variance; Chapter 14 Convolution Models for fMRI. 
505 8 |a Chapter 15 Efficient Experimental Design for fMRIChapter 16 Hierarchical models for EEG and MEG; Chapter 17 Parametric procedures; Chapter 18 Random Field Theory; Chapter 19 Topological Inference; Chapter 20 False Discovery Rate procedures; Chapter 21 Non-parametric procedures; Chapter 22 Empirical Bayes and hierarchical models; Chapter 23 Posterior probability maps; Chapter 24 Variational Bayes; Chapter 25 Spatio-temporal mode. 
520 |a Describes the theoretical background behind Statistical Parametric Mapping and provides operational guidelines and technical details on data analysis. 
504 |a REFERENCES. 
588 0 |a Print version record. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Brain  |x Imaging  |x Mathematical models. 
650 0 |a Brain mapping. 
650 0 |a Statistics  |x Graphic methods. 
650 2 |a Brain Mapping 
650 6 |a Cerveau  |x Imagerie  |x Modèles mathématiques. 
650 6 |a Cartographie cérébrale. 
650 6 |a Statistique  |x Méthodes graphiques. 
650 7 |a Brain mapping  |2 fast 
650 7 |a Statistics  |x Graphic methods  |2 fast 
700 1 |a Ashburner, John T. 
700 1 |a Kiebel, Stefan J. 
700 1 |a Nichols, Thomas E. 
700 1 |a Penny, William D. 
758 |i has work:  |a Statistical parametric mapping (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGYxmyHx8PpX64X4pqHFqP  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 1 |z 9780123725608 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=282095  |z Texto completo 
938 |a YBP Library Services  |b YANK  |n 2585820 
994 |a 92  |b IZTAP 

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