RE: Simple neural models

From: Joe E. Dees (joedees@bellsouth.net)
Date: Wed Jul 26 2000 - 04:46:52 BST

  • Next message: Chris Lofting: "RE: Simple neural models"

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    From: "Joe E. Dees" <joedees@bellsouth.net>
    To: memetics@mmu.ac.uk
    Date: Tue, 25 Jul 2000 22:46:52 -0500
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    Subject: RE: Simple neural models
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    From: "Chris Lofting" <ddiamond@ozemail.com.au>
    To: <memetics@mmu.ac.uk>
    Subject: RE: Simple neural models
    Date sent: Wed, 26 Jul 2000 13:51:48 +1000
    Send reply to: memetics@mmu.ac.uk

    >
    >
    The myth of the engram lives on...
    >
    > > -----Original Message-----
    > > From: fmb-majordomo@mmu.ac.uk [mailto:fmb-majordomo@mmu.ac.uk]On Behalf
    > > Of Mark M. Mills
    > > Sent: Wednesday, 26 July 2000 8:39
    > > To: memetics@mmu.ac.uk
    > > Subject: RE: Simple neural models
    > >
    > >
    > > Derek,
    > >
    > > At 11:06 AM 7/25/00 +0200, you wrote:
    > >
    > > >Derek:
    > > >Yes, I can follow that. Either neurotransmitter is released or it isn't.
    > > >Fair enough.
    > > >
    > > >Mark:
    > > >there is an inherent
    > > >memory storage system involved. Knowing the 'charge state' at
    > > one moment,
    > > >implies knowing the previous state. Voila!, memetic memory.
    > > >
    > > >Derek:
    > > >Here you lose me. Why does the binary state of a nerve cell imply any
    > > >inherent memory, or memory of any kind?
    > >
    >
    > take an XOR gate and feed the output back onto *one* of the inputs and you
    > have a cyclic system and so a memory mechanism in the form of an idefinite
    > memory. Holland nicely summarises this in Holland, J.H., (2000) "Emergence :
    > >From Chaos to Order" OUP. You want more 'meat'? get a text on neural nets
    > etc.
    >
    > Note that an XOR gate picks up DIFFERENCE rather than SAMENESS and as I have
    > noted elsewhere our senses are highly tuned to detecting difference and
    > habituating to sameness.
    >
    > >From a neurological perspective create a neuron with two inputs and an
    > output with only one input 'up' and the other 'down' to fire. take a loop
    > back to one of the inputs and hey presto, indefinite memory. The two inputs
    > can be more, just that the general A XOR B is maintained at the soma firing
    > position.
    >
    > To create the XOR you initially need to use feedforward processes, your
    > basic neural network of in-hidden-out. This system is good for pattern
    > recognition where you use weights to get the system to learn. Use this
    > system to create an XOR system and within that use the feedback loop.
    >
    > Thus feedforward creates the conditions within which you can create an XOR.
    > Sameness sets the context for processing and remembering difference.
    >
    > It follows that synchronisation of a set of neurons within a network can
    > lead to a group memory and so on up the hierarchy...
    >
    > Best,
    >
    > Chris.
    > ------------------
    > Chris Lofting
    > websites:
    > http://www.eisa.net.au/~lofting
    > http://www.ozemail.com.au/~ddiamond
    >
    >
    >
    >
    >
    >
    > ===============================================================
    > This was distributed via the memetics list associated with the
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    > see: http://www.cpm.mmu.ac.uk/jom-emit
    >
    >

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    This was distributed via the memetics list associated with the
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