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Article #2684Re: Computing with Neural Circuits:
From: System Mangler
Date: Wed, 13 Aug 1986 06:41
Date: Wed, 13 Aug 1986 06:41
12 lines
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1187 bytes
In article <64300001@prism>, brian@prism.UUCP writes: > Perhaps I'm being overly simplistic, but doesn't this neural network > stuff seem similar to ANALOG networks of non-linear devices? (Being even more simplistic) As near as I can tell, neural network circuits are made of threshold logic. When a 'neuron' has more excitory inputs true than inhibitory inputs, it fires. That's threshold logic. The stuff is described in all the old digital switching theory books (such as Kohavi) but nobody seems to have used it until Hopfield. Doesn't look very analog to me. Don Speck speck@vlsi.caltech.edu seismo!cit-vax!speck
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Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: arc1-ca.pugleaf.net!utzoo!mnetor!seismo!lll-crg!nike!cit-vax!mangler From: mangler@cit-vax.Caltech.Edu (System Mangler) Newsgroups: net.arch Subject: Re: Computing with Neural Circuits: Message-ID: <894@cit-vax.Caltech.Edu> Date: Wed, 13-Aug-86 02:41:07 EDT Article-I.D.: cit-vax.894 Posted: Wed Aug 13 02:41:07 1986 Date-Received: Wed, 13-Aug-86 09:13:19 EDT References: <1883@ecsvax.UUCP> <64300001@prism> Organization: California Institute of Technology Lines: 12 Summary: threshold logic