Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!tut.cis.ohio-state.edu!rutgers!psuvax1!omega.cs.psu.edu!ian From: ian@omega.theory.cs.psu.edu (Ian Parberry) Newsgroups: comp.ai.neural-nets Subject: wanted: neurobiology references Keywords: heeeeeellllpppp Message-ID: <4486@psuvax1.cs.psu.edu> Date: 20 Apr 89 19:57:10 GMT Sender: news@psuvax1.cs.psu.edu Reply-To: ian@theory.cs.psu.edu Organization: Penn State University Lines: 22 At NIPS last year, one of the workshop attendees told me that, assuming one models neurons as performing a discrete or analog thresholding operation on weighted sums of its inputs, the summation appears to be done in the axons and the thresholding in the soma. This interested me because typical neural network models don't take into account the hardware separation of these operations, and Berman, Schnitger and myself had discovered (without realizing the biological connection) that a new neural network model which allows separation appears to be much more fault-tolerant than the old ones. It's now time to write up the fault-tolerance result. I'd like to include some references to "accepted" neurobiological sources which back up the attendee's observation. Trouble is, I am not a neurobiologist, and do not know where to look. Can somebody knowledgeable please advise me? Thanks, Ian. ------------------------------------------------------------------------------- Ian Parberry "Bureaucracy is expanding to meet the needs of an expanding bureaucracy" ian@theory.cs.psu.edu ian@psuvax1.BITNET ian@psuvax1.UUCP (814) 863-3600 Dept of Comp Sci, 333 Whitmore Lab, Penn State Univ, University Park, Pa 16802