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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