Quote:

Originally Posted by

Apples-to-oranges.....

Biological and neural network systems work non-linearly... they aren't one or zero in sequence but many variables at once. They can attempt to solve problems with mutltiple possible solutions simutaneously.

The are especially good at nondeterministic polynomial time (NP) problems.

A way to think about them is something half-way between a quantum computing and current "modified Harvard architecture" computers.

**DuckieHo**Apples-to-oranges.....

Biological and neural network systems work non-linearly... they aren't one or zero in sequence but many variables at once. They can attempt to solve problems with mutltiple possible solutions simutaneously.

The are especially good at nondeterministic polynomial time (NP) problems.

A way to think about them is something half-way between a quantum computing and current "modified Harvard architecture" computers.

This is true, but nature doesnt always fall into the best possible optimized states. And they cant backtrack either. So while they may natrually be able to solve non-np complete problems to an efficient state quickly. They usually dont do it to the best possible state.