Computational Neuroscience

>>8636383

It is.

No, the brain is very inefficient and contain a lot of "junk" code that would not be useful in a human-level intelligent system. Furthermore, the underlying hardware is very different. It's not far-fetched to expect the best algorithm for a strong AI may not be anything like what's happening inside the brain at all.

>>8636383
> the analysis of evolutionary brain procedures to build efficient programs.
The more generic you are the less efficient you beomce. Human cognition is also riddle with shortcuts. Statistically efficient at certain common human task, and statistically very inefficient at everything else.

>>8636880
> It's not far-fetched to expect the best algorithm for a strong AI may not be anything like what's happening inside the brain at all.
There are a multitude of functions we already know are better handle by none neural network architecture. It is the entire reason why we have computers nowadays.

Although neural networks are efficient at somethings. Like searching, and branching tree function.

>>8636383
please give me an example of a theory in computational neuroscience. otherwise it's just glorified programming.

>>8636383
Huge problem with it is that it's slow. Other than that I've toyed around with it and it's pretty neat stuff