For some analysis functions, such as spike triggered average or spike triggered phases, it is desireable to limit the analysis to a small part of the input data. One option is to cut the input data beforehand, but another option is to use something like the window parameter in the spike triggered average. This is particularly useful if the analysis itself is conducted in a sliding window [-w,+w], such that a user who wants to perform an analysis on the interval [t1, t2] would need to actually cut in an interval [t1-w,t2+w] (i.e., the user requires intrinsic knowledge of the function).
Therefore, a common way to handle such functions should be investigated (i.e., implementation of a window parameter).
For some analysis functions, such as spike triggered average or spike triggered phases, it is desireable to limit the analysis to a small part of the input data. One option is to cut the input data beforehand, but another option is to use something like the window parameter in the spike triggered average. This is particularly useful if the analysis itself is conducted in a sliding window [-w,+w], such that a user who wants to perform an analysis on the interval [t1, t2] would need to actually cut in an interval [t1-w,t2+w] (i.e., the user requires intrinsic knowledge of the function).
Therefore, a common way to handle such functions should be investigated (i.e., implementation of a window parameter).