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- Newsgroups: comp.ai.neural-nets
- Path: sparky!uunet!gatech!darwin.sura.net!mojo.eng.umd.edu!disney.src.umd.edu!tedwards
- From: tedwards@src.umd.edu (Thomas Grant Edwards)
- Subject: Re: Neural Nets and Brains
- Message-ID: <1992Jul28.163206.22309@src.umd.edu>
- Sender: news@src.umd.edu (C-News)
- Organization: Systems Research Center, Maryversity of Uniland, College Park
- References: <arms.711986585@spedden> <1992Jul24.164544.11876@cs.ucf.edu> <arms.712027061@spedden>
- Date: Tue, 28 Jul 1992 16:32:06 GMT
- Lines: 20
-
- In article <arms.712027061@spedden> arms@cs.UAlberta.CA (Bill Armstrong) writes:
- >Thank you. A nice explanation. Unfortunately, taking phase and
- >density of pulses into account makes for quite a complex, non-linear
- >system (refractory periods, neurotransmitter release and uptake,...).
- >If the brain works that way, then the simple multiply-add
- >accumulations of backprop are over-simplified, aren't they? Then
- >maybe both backprop and ALNs are useless for the purposes of brain
- >modelling.
-
- Yes!
-
- But they are (more to the point, were) useful in showcasing that
- one can algorithmically string together parallel computational
- units to produce a specific behaviour. Certainly brain does not use
- backprop or ALNs specifically, but the mathematical insight we gain
- from them helps us to understand what's going on.
-
- -Thomas Edwards
-
-
-