Simple neural models

From: Mark M. Mills (mmills@htcomp.net)
Date: Tue Jul 25 2000 - 00:15:23 BST

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    Date: Mon, 24 Jul 2000 19:15:23 -0400
    To: memetics@mmu.ac.uk
    From: "Mark M. Mills" <mmills@htcomp.net>
    Subject: Simple neural models
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    At 10:33 AM 7/22/00 +1000, you wrote:
    >You see, you miss the point totally. You are stuck at the level of
    >expression and so incapable of seeing BEHIND the I ching symbol. What does
    >it REPRESENT? It represents a neurologically determined general pattern of
    >meaning.

    Chris,

    Can you use your template system to describe neural signal exchange between
    two adjacent cells?

    I'm looking at this in evolutionary terms, imagining a simple multicelled,
    DNA based organism. The simplest model might be a 'gut' cell connected to a
    'muscle' cell, where both cells possessed simple synapse modality
    (autophosphoralating kinases and cadherins). Exchanging even random charge
    states across their synapse membranes would produce signal-response
    behaviors, something we would later call 'gut' and 'muscle' behavior). The
    model would have 2 types of cells and 1 synapse. Anyway, the sensation of
    certain chemical levels at the 'gut' end might trigger spasmodic
    contraction at the 'muscle' end, moving things about in the gut (or fleshy
    body), providing selective advantage.

    The conduction/non-conduction state of the synapse would be a reflection of
    previous charge-states, thus the binary representation of synapse states
    are memetic (neural-meme definition used), not genetic.

    It seems that notions such as 'object' and 'context' make sense in this
    simple model. The 'gut' cell might generate an impulse stimulating muscle
    contraction based on specific interior chemical changes (object sense?) or
    due to an system wide electrical balance requirements (context
    requirement). While the system might provide selective advantage with
    random signals, signal discrimination (the template) provides immediate
    selective advantage in terms of energy conservation and tissue maintenance.

    Gerald Edelman describes some simple neural models in 'Neural Darwinism',
    but I haven't seen any use of a natural binary discrimination scheme like
    yours to suggest how they might 'work' to provide selective advantage.

    Scott Chase has expressed on interest in neural 'memory units' and it is
    possible he would see a memory unit in my model. Since the synapse can be
    either 'on' or 'off' with respect to conducting, there is an inherent
    memory storage system involved. Knowing the 'charge state' at one moment,
    implies knowing the previous state. Voila!, memetic memory.

    Mark

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