X-Message-Number: 26095
Date: Wed, 27 Apr 2005 01:43:16 EDT
Subject: Re: CryoNet #26077 To Donaldson.

T. Donaldson wrote:
> Even if you combine "only" 1000 neurons on a single chip, and have them
> work by time-sharing, you'll still eventually encounter simultaneous
> events on which your time-sharing brain will crash. It doesn't require
> all neurons to time-share for such a thing to happen. I didn't even think
> that you were planning to time-share your program for all neurons.

Once more I am surprised that someone with a large mathematical background 

can't understand something as simple as the Shannon's theorem on digital signal
conversion. All the time sharing computation is done in one millisecond, in 

that time all neurons are "frozen", because their shortest signal is in the two
milisecond range. The best thing to close on that subject would be that you 
look at an elementary textbook on the subject.

> As for producing growth of neurons by means of software, your supposed
> idea fails completely. <...>
> Would you mind, then, explaining exactly how your brain will have
> neurons which grow new connections, and even sometimes grow new 
> working neurons? Even if you have things set up so that a chip
> holds 1000 time-sharing neurons, growing new neurons will raise
> problems which separate neurons would not: say that it wants to connect
> to one of the neurons on a FULL chip. Then it must somehow do so
> while keeping the connections of all 999 other neurons unchanged and
> with the neuron it wants to connect to somehow growing one more
> connection... or more if we're talking about dendrites.

You must know, if you have read my uploading messages that the shape of the 
action potential has no information content, a simple rectangular pulse does 

the job. If you have read "From Molecules to Networks", you must know that. So,
until the presynaptic axon terminal, there is no need for a physical 

connection, broadcasting is a far better solution for an electronics device. The
could be modeled on Internet: The IP neuron...I'll come back on that shortly.

Yvan Bozzonetti.

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