On 2016-02-14 17:42, EdFromNH . wrote:

I heard the author of this book on a Dallas/Fort Worth NPR interview show called "Think". In it he poo-pooed the importance of learning the connectome, saying the connectome wasn't really important, that what was important was learning the brain's algorithm.

It is stunningly dumb to minimize the importance of the connection architecture of a neural net, particularly if you include connection weights in the connectome [...]

It depends a bit on what you are trying to do. Most NN researchers left biological realism behind long ago when they adopted back propagation. No doubt there are some remaining secrets buried in the connectome - but the issue is the time and resources it will cost to find them that way - instead of via reinvention. The physical brain is quite a messy tangle; it's not too attractive a place to go fishing for insights.

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 |im Tyler http://timtyler.org/



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