lyngby_ui_global - Defines global for the user interface
script
Global: X Datamatrix
P Paradigm
XN Normalized datamatrix
PN Normalized Paradigm
X_MEAN Mean of datamatrix (an image)
X_STD Standard deviation of datamatrix
X_SEQMEAN Sequence mean of data matrix (a
sequence)
X_SEQSTD Sequence stadard deviation of data
matrix (a sequence)
RESULT_BAT Result from Barbak's t-test
RESULT_BAF Result from Barbak's f-test
RESULT_BAF2 Result from Barbak's f-test with nuisance
signal estimation
RESULT_CC Result from the cross-correlation analysis
RESULT_FIR Result from the FIR filter analysis
RESULT_FIR_CONV Convolution of the FIR result
RESULT_EFIR Filter coefficients of Exhaustive
FIR
RESULT_EFIR_ORDER Filter order for each voxel in Exhaustive FIR
RESULT_EFIR_CONV Convolution of the Exhautive FIR
RESULT_KM Result from the K-means analysis
RESULT_KS Result from Kolmogorov Smirnov test
PROB_KS Probability map from Kolmogorov Smirnov test
RESULT_LZ Result from the Lange-Zeger analysis
RESULT_LZGS Result from the Lange-Zeger analysis (direct
search)
RESULT_LZIT Result from the Lange-Zeger analysis
(iterative parameter estimation)
RESULT_NNR_E Neural network regression, error
RESULT_NNR_Y Neural network regression,
prediction
RESULT_NNS Neural network saliency map
RESULT_NNS_S1 neural network saliency first order map
RESULT_NNS_PRED Neural network prediction
RESULT_NNS_V Neural network saliency - Input weights
RESULT_NNS_W Neural network saliency - Output weights
RESULT_NNS_E Neural network saliency - Error
RESULT_POIS_AMPL Poisson filter - Amplitude of kernel
RESULT_POIS_POISSON Poisson filter - Poisson parameter
RESULT_TS Result from ordinary t-test
RESULT_SCVA_U Strother CVA canonicsequences
RESULT_SCVA_S Strother CVA canonicvalues
RESULT_SCVA_V Strother CVA canonicimages
RESULT_SOP_U Strother OPLS canonicsequences
RESULT_SOP_S Strother OPLS canonicvalues
RESULT_SOP_V Strother OPLS canonicimages
PROB_TS Probability map ordinary t-test
PROB_BAT Probability map Ardekani t-test
PROB_BAF Probability map Ardekani F-test
PROB_BAF2 Probability map Ardekani F-test with
nuisance signal estimation
PP_LDT_TREND_N Preprocessing variable -
Linear Detrending - the removed trends
PP_LDT_RUN Preprocessing variable -
Linear Detrending - run variable
(may have been altered for plotting)
PP_LDT_XN_pre_LDT Preprocessing variable - Linear
Detrending - XN before the data was
detrended, then centered for
plotting
See also: LYNGBY, LYNGBY_UI_MAIN.
$Id: lyngby_ui_global.m,v 1.46 2002/04/22 16:22:59 fnielsen Exp $