Index

Ardekani F-test

4.5

Ardekani t-test

4.4

ARX

4.2

back-propagation

4.9

canonical correlation analysis

4.12

canonical ridge analysis

4.12

canonical variate analysis

4.12

CCA

4.12

centering

3.4.1

clustering

4.6

commandline

using Lyngby from

2.6

cross-correlation

4.1

cross-entropy

4.9

CVA

4.12

CVS

B.1

data matrix

3.3

delay

4.2.2 | 4.8.1

eigenimage

4.12 | 4.13

eigensequence

4.12 | 4.13

entropy

4.9

finite impulse response filter

4.2

FIR

4.2 | 4.3 | 4.9

gamma density

4.8

getting started

D.

global variables

2.6.3

group delay

4.2.2

GUI

1.1 | 2.5

Hessian

4.9

K-means

4.6 | 5.1

meta

2.5.2.7

Kolmogorov-Smirnov

4.7

Lange-Zeger

4.8

loading

2.5.2.1 | 2.6.1 | E.

masking

3.3

meta K-means

2.5.2.7 | 5.1

mosaic view

2.5.2.6 | 2.5.2.6

neural network

no title

regression

4.10

saliency

4.11

partial least squares

4.12 | 4.13

PLS

4.12 | 4.13

principal component regression

4.2

printing

2.5.3

ridge regression

4.2 | 4.12

ROI

2.5.2.3

ROI_VOXELS

3.3

saving

2.5.3

softmax

4.9 | C.1.3

SOP

4.13

SVD

4.2 | 4.12

$t$-test

4.14

Tikhonov regularization

4.2.4

TIME_MASK

3.3

VOXEL_MASK

3.3

workflow

no title