In article <31B6AD55.5DA2 at cogsci.ed.ac.uk>, dog <dog at cogsci.ed.ac.uk> writes:
|> I agree. We are more interested here in trying to model slightly larger-scale nets so
|> Genesis is a suitable low-level tool for the single-neuron approach. If there are any
|> commercially available modelling tools that go into more detail than the Hodgkin-Huxley
|> equation I haven't heard of them, but that's not to say you can't develop your own
|> (you'll probably have to end up doing this in any case since you'll always find that
|> any standardised modelling tool leaves out the interesting parts you feel are important
|> in the model).
|>
You should keep in mind that GENESIS has also been used to construct very
large network models of biologicallly realistic neurons, and runs on a number
of parallel supercomputers. For this reason, you should not assume that
it is necessary to resort to abstract or connectionist modeling for large
scale models. As is also the case with NEURON, GENESIS is user-extensible,
and if you need to use something other than Hodgkin-Huxley dynamics, these
capabilities may be added.
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Prof. David Beeman, GENESIS Users Group
- dbeeman at bbb.caltech.edu - dbeeman at dogstar.colorado.edu
GENESIS WWW site - http://www.bbb.caltech.edu/GENESIS
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