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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.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington :
Elsevier,
2006.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.
- 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.