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Statistical parametric mapping : the analysis of funtional brain images / 1st ed

Statistical parametric mapping : the analysis of funtional brain images / 1st ed (Loan 7 times)

Material type
단행본
Personal Author
Friston, K. J. (Karl J.).
Title Statement
Statistical parametric mapping : the analysis of funtional brain images / edited by Karl Friston ... [et al.].
판사항
1st ed.
Publication, Distribution, etc
Amsterdam ;   Boston :   Elsevier/Academic Press,   2007.  
Physical Medium
vii, 647 p. : ill. (some col.) ; 29 cm.
기타형태 저록
Online version:   Statistical parametric mapping.   1st ed.   Amsterdam ; Boston : Elsevier/Academic Press, 2007   9780080466507   (211009) 000045946664  
ISBN
9780123725608 0123725607
General Note
Online version: Statistical parametric mapping. 1st ed. Amsterdam ; Boston : Elsevier/Academic Press, 2007 9780080466507
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Brain mapping --Statistical methods. Brain --Imaging --Statistical methods.
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020 ▼a 9780123725608
020 ▼a 0123725607
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040 ▼a DLC ▼c DLC ▼d DLC ▼d 211009
050 0 0 ▼a RC386.6.B7 ▼b S73 2007
082 0 0 ▼a 616.8/04754 ▼2 22
084 ▼a 616.804754 ▼2 DDCK
090 ▼a 616.804754 ▼b S797
245 0 0 ▼a Statistical parametric mapping : ▼b the analysis of funtional brain images / ▼c edited by Karl Friston ... [et al.].
250 ▼a 1st ed.
260 ▼a Amsterdam ; ▼a Boston : ▼b Elsevier/Academic Press, ▼c 2007.
300 ▼a vii, 647 p. : ▼b ill. (some col.) ; ▼c 29 cm.
504 ▼a Includes bibliographical references and index.
650 0 ▼a Brain mapping ▼x Statistical methods.
650 0 ▼a Brain ▼x Imaging ▼x Statistical methods.
700 1 ▼a Friston, K. J. ▼q (Karl J.).
776 0 8 ▼i Online version: ▼t Statistical parametric mapping. ▼b 1st ed. ▼d Amsterdam ; Boston : Elsevier/Academic Press, 2007 ▼z 9780080466507 ▼w (211009) 000045946664
945 ▼a KINS

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 616.804754 S797 Accession No. 111449970 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

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


Information Provided By: : Aladin

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