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From: debray@sbcs.UUCP (Saumya Debray)
Newsgroups: net.math
Subject: Re: Neural Net COmputing
Message-ID: <17@sbcs.UUCP>
Date: Sat, 16-Nov-85 17:26:02 EST
Article-I.D.: sbcs.17
Posted: Sat Nov 16 17:26:02 1985
Date-Received: Tue, 19-Nov-85 04:29:59 EST
References: <663@lasspvax.UUCP>
Organization: Computer Science Dept, SUNY@Stony Brook
Lines: 16

> The work I heard about is being done at Bell Labs by Larry Jaeckel's
> group. The idea is fairly simple: you take N "neurons", connect each to
> all the others, and let the firing rate of a given neuron depend on
> the stimuli on its inputs, which can be excitatory or inhibitory. 

Sounds an awful lot like perceptrons (Marvin Minsky, MIT, early '70s).  But
as far as I remember, Minsky's conclusion was that the simple perceptron
model wasn't very powerful at all.  Does anyone have more details on
Jaeckel's work?
-- 
Saumya Debray
SUNY at Stony Brook

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