¥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?