5 ms·
The paper is right, all impressive achievements amount to just curve fitting. But ... maybe that's why the human brain works so well. The 10s of billions of ne
by mmazing 6y ago
The paper is right, all impressive achievements amount to just curve fitting.
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.
- deleted 6y ago[deleted]
- Darvon 6y agoIf it was just a matter of horsepower we could perfectly simulate animals with simpler brains already.
- hprotagonist 6y ago"why does OpenWorm need a distributed supercomputer when the thing it's simulating needs about 10 millicalories a day" is one of those category of questions people don't like thinking about too much.
- anotheryou 6y agoAre you sure the bulk of it is not emulating physics and environment? 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 https://github.com/openworm/c302 and the sim: https://github.com/openworm/OpenWorm/blob/master/README.md#quickstart 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.