AFNI program: 3dTSgen
Output of -help
++ 3dTSgen: AFNI version=AFNI_24.3.10 (Dec 17 2024) [64-bit]
++ Authored by: B. Douglas Ward
This program generates an AFNI 3d+time data set. The time series for
each voxel is generated according to a user specified signal + noise
model.
Usage:
3dTSgen
-input fname fname = filename of prototype 3d + time data file
[-inTR] set the TR of the created timeseries to be the TR
of the prototype dataset
[The default is to compute with TR = 1.]
[The model functions are called for a ]
[time grid of 0, TR, 2*TR, 3*TR, .... ]
-signal slabel slabel = name of (non-linear) signal model
-noise nlabel nlabel = name of (linear) noise model
-sconstr k c d constraints for kth signal parameter:
c <= gs[k] <= d
-nconstr k c d constraints for kth noise parameter:
c+b[k] <= gn[k] <= d+b[k]
-sigma s s = std. dev. of additive Gaussian noise
[-voxel num] screen output for voxel #num
-output fname fname = filename of output 3d + time data file
The following commands generate individual AFNI 1 sub-brick datasets:
[-scoef k fname] write kth signal parameter gs[k];
output 'fim' is written to prefix filename fname
[-ncoef k fname] write kth noise parameter gn[k];
output 'fim' is written to prefix filename fname
The following commands generate one AFNI 'bucket' type dataset:
[-bucket n prefixname] create one AFNI 'bucket' dataset containing
n sub-bricks; n=0 creates default output;
output 'bucket' is written to prefixname
The mth sub-brick will contain:
[-brick m scoef k label] kth signal parameter regression coefficient
[-brick m ncoef k label] kth noise parameter regression coefficient
++ Compile date = Dec 17 2024 {AFNI_24.3.10:linux_ubuntu_24_64}
This page auto-generated on
Tue Dec 17 06:53:46 PM EST 2024