### Spike train autocorrelation function

`spikeauto -d# -D# [-i -o` outfile`-l# -x# -c# -V# -h]` file(s)

> `-d` time span of one bin
> `-D` total time spanned
> `-i` expect intervals rather than times
> `-l` number of values to be read (all)
> `-x` number of values to be skipped (0)
> `-c` column to be read (1 or file,#)
> `-o` output file name, just `-o` means file`_co`
> `-V` verbosity level (0 = only fatal errors)
> `-h` show this message

Computes the binned autocorrelation function of a series of event times (With the flag `-i` set, the data is taken to be inter-event intervals rather than event times.) The data is assumed to represent a sum of delta functions centered at the times given. The autocorrelation function is then a double sum of delta functions which must be binned to be representable. Therfore, you have to choose the duration of a single bin `-d` and the maximal time lag `-D` considered.

Output file file`_sco`.

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