Path: utzoo!attcan!uunet!know!zaphod.mps.ohio-state.edu!ub!ubvmsd.cc.buffalo.edu!v091nm4y From: v091nm4y@ubvmsd.cc.buffalo.edu (Samir Haque) Newsgroups: comp.ai.neural-nets Subject: Postsynaptic models Message-ID: <41918@eerie.acsu.Buffalo.EDU> Date: 22 Oct 90 03:41:07 GMT Sender: news@acsu.Buffalo.EDU Reply-To: v091nm4y@ubvmsd.cc.buffalo.edu Organization: University at Buffalo Lines: 17 Nntp-Posting-Host: ubvmsd.cc.buffalo.edu Keywords:More models? News-Software: VAX/VMS VNEWS 1.3-4.3 I have been working on Daniel Alkon's idea of a postsynaptic neural network, which is called DYSTAL. DYSTAL is a postsynaptic net because the learning rule does NOT depend on the firing history of the postsynaptic neuron. This make each neuron somewhat more complex, but the overall complexity is on the o(N) and not o(N^2) or even higher, making it one of the most flexible nets available. (N=# of neurons) - Are there any other postsynaptic models? References or names would be appreciated. TIA, Samir. ======================================================================== "In times of crisis, it is of utmost importantance not to lose one's head" -M.Antoinette