I am looking for information on techniques for trasnforming the information
contained in a spike train into a continuous waveform, for easier
analysis. The only technique I have come across in the literature is
that of determining the mean firing rate of a neuron, which makes
the assumption that information is _only_ contained in the mean firing
rate, and totally obscures any information which might be contained in
the details of the temporal structure.
I really not interested in research towards determining whether
or not there _is_ information contained in the sequence, but rather I
am looking for a method of transforming a spike train into a continuous
waveform without losing any information which might be present (the
original spike train _could_ be reconstructed if I desired).
Thanks for your help...
* Todd Sundsted - sundsted at amnese.eng.uab.edu
* University of Alabama at Birmingham - Biomedical Engineering Department
* "Let thee not eat beans."
* - Pythagoras