Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP
Path: utzoo!watmath!clyde!burl!ulysses!mhuxr!mhuxt!houxm!whuxl!whuxlm!akgua!gatech!seismo!cmcl2!rna!cubsvax!peters
From: peters@cubsvax.UUCP
Newsgroups: net.arch
Subject: Re: Hopfield Networks?
Message-ID: <417@cubsvax.UUCP>
Date: Fri, 7-Feb-86 19:45:56 EST
Article-I.D.: cubsvax.417
Posted: Fri Feb  7 19:45:56 1986
Date-Received: Tue, 11-Feb-86 03:41:47 EST
References: <peora.1960>
Reply-To: peters@cubsvax.UUCP (Peter S. Shenkin)
Organization: Columbia Univ. Bio. CG Fac., NY
Lines: 18

In article <peora.1960> jer@peora.UUCP (J. Eric Roskos) writes:
>In a recent issue (Issue 367) of EE Times, there is an article titled
>"Neural Research Yields Computer that can Learn".  This describes a
>simulation of a machine that uses a "Hopfield Network"; 
...
>Does anybody know anything more about these Hopfield Networks?
...

Probably refers to the work of John Hopfield, a solid-state physicist, formerly
of Princeton, now of Cal Tech, whose recent interests are in biophysics.  
In the 70's he did a number of influential studies on hemoglobin and on 
error-correction in DNA transcription ("kinetic proofreading");  in the
80's he's been interested in modelling nerve networks;  I don't know what a
Hopfield network is, but he publishes in places like J. Mol. Bio., Nature,
Pro. Nat'l. Acad. Sci. and probably Biophysical Journal.  He's eminent.
If you find out, tell us!

Peter Shenkin;  {philabs,rna}!cubsvax!peters or cubsvax!peters@columbia.ARPA