Path: utzoo!utgpu!jarvis.csri.toronto.edu!rutgers!tut.cis.ohio-state.edu!gem.mps.ohio-state.edu!ginosko!uunet!dino!ux1.cso.uiuc.edu!ux1.cso.uiuc.edu!m.cs.uiuc.edu!s.cs.uiuc.edu!mehra From: mehra@s.cs.uiuc.edu Newsgroups: comp.ai.neural-nets Subject: Re: Do Higher Order Neurons exist ? Message-ID: <218600005@s.cs.uiuc.edu> Date: 24 Oct 89 16:32:46 GMT References: <384@cs.columbia.edu> Lines: 24 Nf-ID: #R:cs.columbia.edu:384:s.cs.uiuc.edu:218600005:000:1118 Nf-From: s.cs.uiuc.edu!mehra Oct 21 10:47:00 1989 ? "Are there neurons in the real brain that support the current research ? on higher order networks ? " ? ?I'm puzzled with the difficulty to implement simple nets capable of outputting ?a continuous quantity proportional to the product of its inputs. Even in the ?simpler form (multiplying X and Y to produce K.Z for some K in R), this ?problem has taken hours in a back-prop simulator, yielding very poor Also important to note is the fact that when "real brain" operations occur, they are in frequency domain. Anyone with even a smattering of knowledge about signal processing (like me) knows that multiplication in time domain is convolution in frequency domain. So, what might seem like a complex operation (multiplication of numbers) might be realized rather easily in proper frequency domain circuitry... Now, of course, what with DSP and all, everyone seems to be using non-neural hardware for doing this stuff. Maybe someone from analog VLSI knows the answer. Of course this is speculative, and it is not saying that this is what Rumelhart et al. had in mind when they wrote their book. Pankaj Mehra