Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!tut.cis.ohio-state.edu!ucbvax!agate!darkstar!WIPKE@secs.ucsc.edu From: wipke@secs.ucsc.edu (W. Todd Wipke) Newsgroups: comp.ai.neural-nets Subject: Re: A theoretical question: multiple patterns and synchrony Message-ID: <00934F82.F60A9D60@secs.ucsc.edu> Date: 10 Apr 90 07:35:46 GMT References: <761@mirsa.inria.fr> Sender: usenet@darkstar.ucsc.edu Reply-To: wipke@secs.ucsc.edu (W. Todd Wipke) Organization: UCSC Molecular Engineering Laboratory Lines: 45 >Consider a neural network with several local minima of the energy function, >each of which representing a different pattern, and having differents slopes >and depths. >Consider now an image containing different patterns among those represented >in that network. Each of these ones will be recognized but the different >local minima will be reached at different times. This means that vision in a >temporal process: object 1 is perceived, then object 2 ... >So, how to create a representation of a composed object made of an assembly >of different patterns ? >One can say that the temporal synchrony of the units is a representation of >the global identity, but how to obtain this synchrony between the different >parts of the image ? Chemists routinely minimize energy of three-dimensional networks which can have several local minima. Each minimum represents a low energy state of the molecule, in effect, the "personality" of the molecule. I wonder if there are any interesting conclusions one can draw. On another but related topic, chemists have successfully used learning machines for chemical pattern recognition--the work was done in 1969-71. Very systematic studies of learning rate versus feature scaling, number of parameters, type of feedback, size and diversity of training set etc. Peter Jurs, Penn State wrote a book on it and many papers showing one can predict mass spec, determine molecular formula from mass spec, classify drugs, etc. From the literature I have seen, this work has gone unnoticed by the computer science community. Since the data sets are well defined, it would provide a reproducible standard against which you could all compare your methods or black boxes. To my knowledge there is no such standard in use today. I would be very interested to see if today's methods are better than earlier ones. I have not seen systematic studies like Jurs did, but would like to see some. ======================================================================= W. Todd Wipke wipke@secs.ucsc.edu Molecular Engineering Laboratory wipke@ucscd.ucsc.edu Thimann Laboratories wipke@ucscd.bitnet University of California BBS 408 429-8019 Santa Cruz, CA 95064 FAX 408 459-4716 ======================================================================= ======================================================================= W. Todd Wipke wipke@secs.ucsc.edu Molecular Engineering Laboratory wipke@ucscd.ucsc.edu Thimann Laboratories wipke@ucscd.bitnet University of California BBS 408 429-8019 Santa Cruz, CA 95064 FAX 408 459-4716 =======================================================================