randomize_auto_cool_perm -D# [-W#] [general options] [cooling options] [permutation options] file
The specified number of shortest lags of the autocorrelation function without periodic continuation is matched with the data. The cost is given by the maximum deviation in any lag, weighted by 1/lag.
-D number of lags for autocorrelation
-W type of average: 0=max(c), 1=|c|/lag, 2=(c/lag)**2, 3=max(c)/lag (default 0)
This cost function has been implemented in randomize_auto_exp_random.
randomize_autop_cool_perm -D# [-W#] [general options] [cooling options] [permutation options] file
The specified number of shortest lags of the periodically continued autocorrelation function is matched with the data. The cost is given by the maximum deviation in any lag, weighted by 1/lag.
-D number of lags for autocorrelation
-W type of average: 0=max(c), 1=|c|/lag, 2=(c/lag)**2, 3=max(c)/lag (default 0)
This cost function has been implemented in randomize_autop_exp_random.
randomize_uneven_cool_random -d# -D# [-W#] [general options] [cooling options] [permutation options] file
-d time span of one bin
-D total time spanned
-W type of average: 0=max(c), 1=|c|/lag, 2=(c/lag)**2 (default 0)
This cost function has been implemented in randomize_uneven_exp_random.
randomize_spikeauto_cool_random -d# -D# [-i -W#] [general options] [cooling options] [permutation options] file
For an explanation of the inter-event spectrum see spikespec. S(f) is computed for # frequencies between 0 and -F (no binning). By default, a sequence of event times is expected. If the flag -i is set, the data is taken to be inter-event intervals.
-d time span of one bin
-D total time spanned
-i expect intervals rather than times
-W type of average: 0=max(c), 1=|c|/lag, 2=(c/lag)**2 (default 0)
This cost function has been implemented in randomize_spikeauto_exp_random.
randomize_spikespec_cool_event [-F# -## -i -W#] [general options] [cooling options] [permutation options] file
For an explanation of the inter-event autocorrelation function, see spikeauto. By default, a sequence of event times is expected. If the flag -i is set, the data is taken to be inter-event intervals.
-F maximal frequency (2*l / total time)
-# number of frequencies (F* total time /2)
-i expect intervals rather than times
-W type of average: 0=max(s) 1=|s|/f 2=(s/f)**2 3=|s| (default 0)
This cost function has been implemented in randomize_spikespec_exp_event.