But ... maybe that's why the human brain works so well. The 10s of billions of neurons in your brain are designed to adapt to patterns and adjust to external stimuli from sensory input.
Just like compression algorithms can only compress something so far before losing data, maybe being limited by how much processing we are throwing at this problem limits the usefulness of our solutions.
I mean how many resources can you even throw at "302 neurons and 95 muscle cells"?
edit: down the wormhole I go
just look at the screenshots of
the "brain": https://github.com/openworm/c302
and the sim: https://github.com/openworm/OpenWorm/blob/master/README.md#q...
Reading further, more physics:
> Some simulators enable ion channel dynamics to be included and enable neurons to be described in detail in space (multi-compartmental models), while others ignore ion channels and treat neurons as points connected directly to other neurons. In OpenWorm, we focus on multi-compartmental neuron models with ion channels.