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Article 1835 of comp.ai.philosophy:
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>From: weemba@libra.wistar.upenn.edu (Matthew P Wiener)
Newsgroups: comp.ai.philosophy
Subject: Neuron based neural nets
Message-ID: <58114@netnews.upenn.edu>
Date: 3 Dec 91 20:19:22 GMT
References: <3942@papaya.bbn.com>
Sender: news@netnews.upenn.edu
Reply-To: weemba@libra.wistar.upenn.edu (Matthew P Wiener)
Organization: The Wistar Institute of Anatomy and Biology
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In-reply-to: cbarber@bbn.com (Chris Barber)

In article <3942@papaya.bbn.com>, cbarber@bbn (Chris Barber) writes:
>In article <1991Nov29.050859.21552@bronze.ucs.indiana.edu> 
>        chalmers@bronze.ucs.indiana.edu (David Chalmers) writes that
>> [Reeke and Edelman's criticism of connectionism is off center,
>>  and does not even mention backpropagation.]

>Maybe this is because backpropagation cannot be implemented with
>real neurons!  In fact, most neural network paradigms, have nothing
>to do with the way real neurons and brains work.  [...]

Woah there!  Not so fast.

Pellionisz and Llinas have dozens of papers on their "tensor network
metaorganization theories" of the central nervous system.  They de-
scribe feedback mechanisms for neural networks that are probably just
backpropagation in some form or other--if not literally, then via some
mathematical transform.  And their work is pretty closely tied to the
real thing.

(And yes, I know, Edelman on P&L is a nothing.)
-- 
-Matthew P Wiener (weemba@libra.wistar.upenn.edu)


