5
¥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?