Neural coding information sought

Ron Blue rcb1 at LEX.LCCC.EDU
Mon Dec 11 08:41:04 EST 1995


On Fri, 8 Dec 1995, Mark Laubach wrote:
> laubach at biogfx.neuro.wfu.edu (Mark Laubach) wrote:
> >Nonlinear signal processing methods
> >developed by researchers in the wavelets community, such as the best
> >basis method, matching pursuit, local discriminant bases, and
> >discriminant pursuit, allow one to assess the _time-frequency
> >structure_ of signals such as neural spike trains.  The only choice to
> >make is how to filter (i.e., smooth) the spike train prior to these
> >analyses.  
> I was not entirely correct here.  Wavelet methods also require the
> analyst to make choices about certain parameters.  However, the best
> parameters for the analysis can be determined empirically.  For
> example, the choice of parameters for local discriminant bases, e.g.,
> mother wavelet, entropy criterion, etc. can be optimized by comparing
> the classification success of the coefficients (features) chosen by
> the algorithm.
> -----------------------------------
> Mark Laubach
> Dept. of Physiology & Pharmacology
> Bowman Gray School of Medicine
> Wake Forest University
> Winston-Salem, NC 27157
> laubach at biogfx.neuro.wfu.edu
> -----------------------------------

"Random Vibrations, Spectral & Wavelet Analysis" by D.E. Newland (c) 1993, 
is a good book to read for those who do not know what Mark is talking
about.  Ron Blue





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