Xref: utzoo bionet.neuroscience:56 comp.lsi:1490 comp.ai.neural-nets:3420 Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!wuarchive!zaphod.mps.ohio-state.edu!sol.ctr.columbia.edu!lll-winken!aunro!alberta!arms From: arms@cs.UAlberta.CA (Bill Armstrong) Newsgroups: bionet.neuroscience,comp.lsi,comp.ai.neural-nets Subject: Re: Biological Chip Coatings Keywords: nerve cultures, integrated circuits Message-ID: Date: 18 May 91 03:57:38 GMT References: <1991Apr2.164740.28858@fcom.cc.utah.edu> <1991May17.211209.11735@solo.csci.unt.edu> Sender: news@cs.UAlberta.CA (News Administrator) Organization: University of Alberta, Edmonton, Canada Lines: 41 rowland@ponder.csci.unt.edu (Keith Rowland) writes: >In article <1991Apr2.164740.28858@fcom.cc.utah.edu> strohsch@mines.utah.edu (David A Strohschein) writes: >> >> I am trying to find information about growing nerve cells on integrated >>circuit surfaces. The object is to grow the nerves on the ICs while >>retaining the normal or near normal electrical and physiological functions of >>the nerve tissue. > While not actually growing neurons on ICs we do grow them on glass plates >on which a grid of 64 electrodes has been photo-etched in an area of approx. >1mm^2. >__ >Keith E. Rowland rowland@cnns.unt.edu In our work on adaptive logic networks (ALN) we have come a long way in getting them to find simple rules in boolean data. If you could get sequences of bits representing axonal pulses in your collection of neurons, you could try to predict what causes what by taking a many samples of all signals BUT x over the past t seconds, and training an ALN to predict the current x. I suppose you have tried this with backpropagation networks, but we have found that ALNs are very good at finding simple rules for generalization. For example ALNs have learned (a very good approximation for) the rule for a multiplexer with 521-input signals, based on 8000 samples, an infinitesimal part of the whole space. So it might be worth while to try this out on a collection of neurons. Your discipline, about which I know virtually nothing, probably has very sophisticated ways of studying interaction of neurons, so maybe the suggestion is not useful. In any case, I'd appreciate your comments on the idea. Bill Armstrong P.S. The ALNs are on menaik.cs.ualberta.ca [129.128.4.241] in -- *************************************************** Prof. William W. Armstrong, Computing Science Dept. University of Alberta; Edmonton, Alberta, Canada T6G 2H1 arms@cs.ualberta.ca Tel(403)492 2374 FAX 492 1071