I am talking about either. In truth, I am interested in AI, whose goal
is to approach the functionings of the brain. So, whatever features
each shares, or differes in is fine. But I suppose that "idealized"
networks are what I mean, that is ones in a purely mathematical space.
For one thing, how are the connections made if not randomly? I
thought it was essentially based on the closest free neuron.
What kind of summation is it if not linear? Do you mean that if the
threshold is 5, 4 is more than to times closer than 2? What does that
mean, if anything?
>> a certain predetermined level, the neuron sends a pulse on the
output,
>> to trigger other neurons.
>> Could someone please complicate the picture for me?
>
>Are you asking about wet and squishy neural nets or artificial neural
>nets? There's nothing random about the connections of either in a
>*functioning* net, but a learning net can have somewhat random
>connections. The "summation" isn't linear in either type of net, and
the
>trigger can be a frequency threshold as well as an amplitude threshold.
>
>Of course, real neural nets are *much* more complicated and are
affected
>by food, sleep, and neuro-transmitter analogues like LSD.
>
>-- Doug
>
>
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Received on Fri Apr 03 1998 - 14:47:34 BST