My data consists of N~200 cells. For each cell I am seeing the response to a stimulus for the next 300ms, in bins of 5ms (150bins total). In order to get confidence bounds for each bin on whether a response is significant, I perform a shuffling/bootstrapping test. This gives me graphs which look like those in figure below for each cell:
If cells responses go above bounds for even 1 bin, they are considered significant and have a blue background. I understand that essentially I am doing 150 comparisons here, but a Bonferroni correction here seems incorrect due to the tests being temporally correlated.
Any suggestions on how to correctly ascertain whether the the cells have a significant response?