•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)
→decide on
appropriate values of: a0 a1 bi
•
• Y regression
deconvolution - with lags (0-7)
•
• a0 a1
b0 a0
a1 b0 b1 b2 b3 b4
b5 b6 b7
•
• 500 1
0 0 1
0 0 0 0 0 0 0 0 0
• 500 1
1 0 1
1 1 0 0 0 0 0 0 0
• 500.01 1
2 0.1 1
2 1 1 0 0 0 0 0 0
• 500.91 1
3 9.1 1
3 0 1 1 0 0 0 0 0
• 505.60 1
4 56.0 1
4 0 0 1 1 0 0 0 0
• 513.69 1
5 136.9 1
5 0 0 0 1 1 0 0 0
• 518.82 1
6 188.2 1
6 0 0 0 0 1 1 0 0
• 517.42 1
7 174.2 1
7 1 0 0 0 0 1 1 0
• 512.19 1
8 121.9 1
8 0 1 0 0 0 0 1 1
• 507.81 1
9 78.1 1
9 0 0 1 0 0 0 0 1
• 508.06 1 10
80.6 1 10 1 0 0 1 0 0 0 0
• 510.44 1 11
104.4 1 11 0 1 0 0 1 0 0 0
• 511.29 1 12
112.9 1 12 0 0 1 0 0 1 0 0
• 512.49 1 13
124.9 1 13 1 0 0 1 0 0 1 0
• 513.64 1 14
136.4 1 14 0 1 0 0 1 0 0 1
• 513.06 1 15
130.6 1 15 0 0 1 0 0 1 0 0
• 513.32 1 16
133.2 1 16 0 0 0 1 0 0 1 0
• 513.98 1 17
139.8 1 17 0 0 0 0 1 0 0 1