Forgot the important stuff.
"mat" <mats_trash at hotmail.com> wrote in message
news:43525ce3.0401220431.67b6948f at posting.google.com...
> Can anyone direct me to literature on useful metrics of regularity in
> spike series. I've plotted autocorrelograms to see if any whopping
> peaks appear but to no avail. On cursory reading I came accros papers
> on 'Approximate Entropy' but I don't think my datasets contain enough
> spikes to make this a valid measure.
>> Many thanks
You don't want to look for "peaks".
In any neural-activation data,
the main thing to look for is
the descending trend that
correlates to TD E/I-
This isn't always detectable
because the data may correlate to
co-mingled 'information content'.
But, most often, one can 'regenerate'
the neural Topology be 'just' exploring
all the ways that one's data can, in fact,
be ordered in such 'descending' ways.
TD E/I-minimization is =that=
relaible as a generalized principle.
'Course, this's much easier to do
if the neural topological correlations
are not 'erased' [or never included in]
ken [k. p. collins]