¥X matrix examples (based on modified HowTo 03 script,
stimulus #3):
_regression: baseline, linear drift, 1 regressor (ideal response
function)
_deconvolution: baseline, linear drift, 5 regressors (lags)
¥
¥ regression deconvolution - with lags (3-7)
¥ 1 0
0 1
0 0 0 0 0 0
¥ 1 1
0 1
1 0 0 0 0 0
¥ 1 2
0.14 1
2 0 0 0 0 0
¥ 1 3
9.11 1
3 0 0 0 0 0
¥ 1 4
56.05 1
4 1 0 0 0 0
¥ 1 5 136.9 1
5 1 1 0 0 0
¥ 1 6 188.2 1
6 0 1 1 0 0
¥ 1 7 174.2 1
7 0 0 1 1 0
¥ 1 8 121.9 1
8 0 0 0 1 1
¥ 1 9
78.1 1
9 0 0 0 0 1
¥ 1 10 80.63 1 10 1 0 0 0 0
¥ 1 11 104.4
1 11 0 1
0 0 0
¥ 1 12 112.9
1 12 0 0
1 0 0
¥ 1 13
124.9 1 13 1 0 0 1 0
¥ 1 14
136.4 1 14 0 1 0 0 1
¥ 1 15
130.6 1 15 0 0 1 0 0
¥ 1 16
133.2 1 16 1 0 0 1 0
¥ 1 17
139.8 1 17 0 1 0 0 1