by EnergyUnlimited » Mon 01 Mar 2010, 08:20:05
So are those models of neocortical columns doing anything useful?
Or may be they are merely pretending some sort of electrical patterns present in actual neocortical column but do not display any useful functions above that.
$this->bbcode_second_pass_quote('Dezakin', 'Y')ou can't do anything on an analog machine that you can't do on a digital machine in practice.
The most important features which are going to be lost in digital systems are related to
creativity.
It is degree of randomness and related issues of handling
error (quite rampant in analogue devices) what has a lot to do with
creativity of brain.
Creativity appears to come as a product of countless errors of quite fine tuned magnitude, followed by error correction mechanisms (which are imperfect), selecting more promising outcomes for future processing (and we have no idea, how this selection works...) and after a number of iterations of such process some useful
creative output is presented at the end.
Analogue devices are more suitable for such tasks.
On the other hand digital devices are working base on
rubbish in = rubbish out principle.
No creativity there, just mere bit processing.
In any case I am not seeing any artificial brains around so certainly digital technology is not providing these and IMO it never will, so up to date analogue one is definitely superior in this respect.
.
Didn't you think why our genetic code appears to be grossly misdesigned from perspective of information theory?
It is inefficient, not binary - means uneconomic from data storage perspective, prone to countless translation errors, spontaneous and induced mutations etc.
However these are particular features which are allowing for species evolution and because of them
life is creative.
So make an information processing system
too perfect and it will merely deliver input - output processing, but show no ingenuity or problem solving ability.
That is a feature of digital systems.
So you have to work on idea, how to make your brain model sufficiently crap and error prone to make ingenuity possible and yet sufficiently robust to prevent calculations diverging into loads of rubbish.
There might be an
extreme fine tuning required here, perhaps impossible to achieve in digital systems.