2nd EDITION
J Ashburner
K Friston
W Penny
1. INTRODUCTION K Friston
2. Rigid body registration J. Ashburner and K. Friston
3. Spatial normalization using basis functions J. Ashburner and K. Friston
4. High-dimensional image warping J. Ashburner and K. Friston
5. Image segmentation J. Ashburner and K. Friston
6. Morphometry J. Ashburner and K. Friston
7. The General Linear Model S. Kiebel and A. Holmes
8. Contrasts and Classical Inference JB. Poline, F. Kherif and W. Penny
9. Variance Components D. Glaser and K. Friston
10. Analysis of fMRI time series R. Henson
11. Hemodynamic modeling K. FristonD. Glaser, K. Friston, A. Mechelli, R. Turner and C.Price
12. Random effects analysis W. Penny and A Holmes
13. Hierarchical models W. Penny and K. Friston
14. Introduction to Random Field Theory M. Brett, W. Penny and S. Kiebel
15. Developments in Random Field Theory K.Worsley
16. Nonparametric Approaches T. Nichols and A. Holmes
17. Classical and Bayesian Inference K. Friston and W Penny
18. Functional Integration K Friston
19. Functional Connectivity K Friston and C Büchel
20. Effective Connectivity L Harrison and K Friston
21. Volterra Kernels and Connectivity K Friston
22. Dynamical Causal Models K Friston
23. Mathematical Appendix K Friston.
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