Re: Simulating the brain

On Jul 19, 9:25 am, Wolf K <weki...@xxxxxxxxxxxx> wrote:

... just doodling a program in meta-language
convinces me that simulating any "sufficiently
interesting" operation of the brain is beyond
the capacity of a typical desktop.

Only a real computer language allows you to *test*
any of your ideas.

Small, well defined tasks are simulable, for example
simple pattern extraction/recognition has in fact
been simulated many times (in image processors, for
example, or games.) These these tasks have been
hard-coded, they are not learned. But the mammalian
brain is set up to _learn_ how to recognise patterns
(and if the young mammal is not exposed to certain
patterns or pattern elements, it will not recognise
them in maturity.)

To "set up to learn how to recognize patterns" IS hard
coding. I set up my first program to learn to recognize
hand written strokes. The actual strokes to be recognized
were not hard coded.

The crude behaviourist dogma and their collection of
trivial catalogues of the behaviours of rats and pigeons
indifferent to biology or the broader range of animal
behaviours has little to nothing to offer in building
higher level intelligent machines. You do not get to
know Conway's rules by observing the resulting gliders
and oscillators even if Curt thinks operant conditioning
is the exception to the rule.

By testing and tweaking different types of ANN architectures
inspired from many sources we might come up with a similar
solutions to the networks of the brain just as we came up
with a similar solution to the flight of birds.

Regardless of the "networks" within a nerve cell, which I
assume you mean the cybernetic functional networks involving
proteins and dna, the pulse output is a function of the
cell's pulse inputs, type of cell and cell's history.


JC

.

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