It is because the random jitter creates differential amounts of overlap.
Imagine if you have A=C+D and B=C-D. You know A and B, but you want C
and D. You have two equations and two unknowns, so you can solve for C
and D from A and B eventhough C and D "overlap" in A and B and you never
see C or D by themselves. This is a type of deconvolution
On 11/10/17 11:38 AM, Aser A wrote:
Hi all
I used Optseq to optimize rapid event designs with multiple
conditions . I have a theortical question : how it is possible to
distingwoh the close by trials ? Is it by de convoution ? How is it
possible to deal with overallped trials ?
Is it because the conditions are random so that when averaging them
the distingwoh is possible?
Many thanks
Aser
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