Once again, I must assert that while wet experimentation is yeilding the
most opportunity for public attention, funding, and acceptance, it is not
beyond the scope of the traditional neuroscientist to embrace the added
support available to him by way of theoretical soft computation. I find
a great deal of those who would rather spend time with wet experiments are
not well acquianted with the advantages of neural networking/neural
computation.
True, the theory that soft following wet experiments as a basis of
validation for the experiments will gain support. I tend to believe that
much work in soft experiments is yet to arrive. Neural networking is on
the rise. See for yourselves. Download GENESIS 2.0 in mid JULY (newest
release) and try it for yourselves. After some painless compiling, many
scripts are available that will model adequately many wet procedures and
provide data local to the same machine run on. This is a giant step from
mechanically recording scores/crunching numbers and producing plotable
data by hand.
--
Kevin E. Hurley | Arkansas State University
Major: Psychology | khurley at quapaw.astate.edu
Minor: Computer Science | khurley at osage.astate.edu