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| Document Type: | Book |
|---|---|
| All Authors / Contributors: |
K J Friston; et al |
| ISBN: | 9780123725608 0123725607 |
| OCLC Number: | 104803228 |
| Description: | vii, 647 p. : ill. (some col.) ; 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 ... [et al.]. |
| More information: |
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