책 이미지
책 정보
· 분류 : 외국도서 > 의학 > 신경학
· ISBN : 9780123725608
· 쪽수 : 688쪽
· 출판일 : 2006-12-01
목차
Part 1: Introduction
Chapter 1: A short history of SPM
Chapter 2: Statistical parametric mapping
Chapter 3: Modelling brain responses
Part 2: Computational anatomy
Chapter 4: Rigid Body Registration
Chapter 5: Non-linear Registration
Chapter 6: Segmentation
Chapter 7: Voxel-Based Morphometry
Part 3: General linear models
Chapter 8: The General Linear Model
Chapter 9: Contrasts and Classical Inference
Chapter 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 fMRI
Chapter 16: Hierarchical models for EEG and MEG
Part 4: Classical inference
Chapter 17: Parametric procedures
Chapter 18: Random Field Theory
Chapter 19: Topological Inference
Chapter 20: False Discovery Rate procedures
Chapter 21: Non-parametric procedures
Part 5: Bayesian inference
Chapter 22: Empirical Bayes and hierarchical models
Chapter 23: Posterior probability maps
Chapter 24: Variational Bayes
Chapter 25: Spatio-temporal models for fMRI
Chapter 26: Spatio-temporal models for EEG
Part 6: Biophysical models
Chapter 27: Forward models for fMRI
Chapter 28: Forward models for EEG
Chapter 29: Bayesian inversion of EEG models
Chapter 30: Bayesian inversion for induced responses
Chapter 31: Neuronal models of ensemble dynamics
Chapter 32: Neuronal models of energetics
Chapter 33: Neuronal models of EEG and MEG
Chapter 34: Bayesian inversion of dynamic models
Chapter 35: Bayesian model selection and averaging
Part 7: Connectivity
Chapter 36: Functional integration
Chapter 37: Functional connectivity: eigenimages and multivariate analyses
Chapter 38: Effective Connectivity
Chapter 39: Non-linear coupling and kernels
Chapter 40: Multivariate autoregressive models
Chapter 41: Dynamic Causal Models for fMRI
Chapter 42: Dynamic causal models for EEG
Chapter 43: Dynamic Causal Models and Bayesian selection
Appendices
Linear models and inference
Dynamical systems
Expectation maximization
Variational Bayes under the Laplace approximation
Kalman filtering
Random field theory
Index
Color Plates
