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Statistical parametric mapping : the analysis of functional brain images

Author: K J Friston
Publisher: Amsterdam ; Boston : Elsevier / Academic Press, 2007.
Edition/Format:   Print book : English : 1st edView all editions and formats
Summary:

Describes the ideas and procedures that underlie the analysis of signals produced by the brain. This book provides the background and methodology for the analysis of all types of brain imaging data,  Read more...

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Document Type: Book
All Authors / Contributors: K J Friston
ISBN: 9780123725608 0123725607
OCLC Number: 104803228
Description: vii, 647 pages : illustrations ; 29 cm
Contents: 1. short history of SPM / K. Friston --
2. Statistical parametric mapping / K. Friston --
3. Modelling brain responses / K. Friston and K. Stephan --
4. Rigid body registration / J. Ashburner and K. Friston --
5. Non-linear registration / J. Ashburner and K. Friston --
6. Segmentation / J. Ashburner and K. Friston --
7. Voxel-based morphometry / J. Ashburner and K. Friston --
8. general linear model / S.J. Kiebel and A.P. Holmes --
9. Contrasts and classical inference / J. Poline, F. Kherif, C. Pallier and W. Penny --
10. Covariance components / D. Glaser and K. Friston --
11. Hierarchical models / W. Penny and R. Henson --
12. Random effects analysis / W.D. Penny and A.J. Holmes --
13. Analysis of variance / W. Penny and R. Henson --
14. Convolution models for fMRI / R. Henson and K. Friston --
15. Efficient experimental design for fMRI / R. Henson --
16. Hierarchical models for EEG and MEG / S. Kiebel, J. Kilner and K. Friston --
17. Parametric procedures / M. Brett, W. Penny and S. Kiebel --
18. Random field theory / K. Worsley --
19. Topological inference / K. Friston --
20. False discovery rate procedures / T. Nichols --
21. Non-parametric procedures / T. Nichols and A. Holmes --
22. Empirical Bayes and hierarchical models / K. Friston and W. Penny --
23. Posterior probability maps / K. Friston and W. Penny --
24. Variational Bayes / W. Penny, S. Kiebel and K. Friston --
25. Spatio-temporal models for fMRI / W. Penny, G. Flandin and N. Trujillo-Barreto --
26. Spatio-temporal models for EEG / W. Penny, N. Trujillo-Barreto and E. Aubert --
27. Forward models for fMRI / K. Friston and D. Glaser --
28. Forward models for EEG / C. Phillips, J. Mattout and K. Friston --
29. Bayesian inversion of EEG models / J. Mattout, C. Phillips, J. Daunizeau and K. Friston --
30. Bayesian inversion for induced responses / J. Mattout, C. Phillips, J. Daunizeau and K. Friston --
31. Neuronal models of ensemble dynamics / L. Harrison, O. David and K. Friston --
32. Neuronal models of energetics / J. Kilner, O. David and K. Friston --
33. Neuronal models of EEG and MEG / O. David, L. Harrison and K. Friston --
34. Bayesian inversion of dynamic models / K. Friston and W. Penny --
35. Bayesian model selection and averaging / W.D. Penny, J. Mattout and N. Trujillo-Barreto --
36. Functional integration / K. Friston --
37. Functional connectivity : eigenimages and multivariate analyses / K. Friston and C. Buchel --
38. Effective connectivity / L. Harrison, K. Stephen and K. Friston --
39. Non-linear coupling and kernels / K. Friston --
40. Multivariate autoregressive models / W. Penny and L. Harrison --
41. Dynamic causal models for fMRI / K. Friston --
42. Dynamic causal models for EEG / K. Friston, S. Kiebel, M. Garrido and O. David --
43. Dynamic causal models and Bayesian selection / K.E. Stephan and W.D. Penny --
App. 1. Linear models and inference / K. Friston --
App. 2. Dynamical systems / K. Friston --
App. 3. Expectation maximization / K. Friston --
App. 4. Variational Bayes under the Laplace approximation / K. Friston, J. Mattout, N. Trujillo-Barreto, J. Ashburner and W. Penny --
App. 5. Kalman filtering / K. Friston and W. Penny --
App. 6. Random field theory / K. Worsley and K. Friston.
Responsibility: edited by Karl Friston [and others].
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