•Use the
3dDeconvolve output to evaluate the normalized standard deviations of the contrasts.
•For this
HowTo script, the deviations of the GLT's are summed. Other options are valid, such as summing all values, or just those for the
stimuli, or summing squares.
•Output
(partial):
• Stimulus: stim_A
h[ 0] norm. std. dev. =
0.0010
Stimulus: stim_B
h[ 0] norm. std. dev. =
0.0009
Stimulus: stim_C
h[ 0] norm. std. dev. =
0.0011
General Linear Test: GLT #1
LC[0] norm. std. dev. =
0.0013
General Linear Test: GLT #2
LC[0] norm. std. dev. =
0.0012
General Linear Test: GLT #3
LC[0] norm. std. dev. =
0.0013
•What
does this output mean?
→What is norm. std. dev.?
→How does this compare to results using different stimulus timing
patterns?