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Very interesting, thanks! I know about Blue Brain, but did not touch on any code of theirs - seeing you did. How fast is your code performance-wise ? I think
by ay 16y ago
Very interesting, thanks! I know about Blue Brain, but did not touch on any code of theirs - seeing you did.
How fast is your code performance-wise ?
I think the point he is making is that his model is "good enough".
The code that I was running was able to emulate ~40000 neurons and their connections on a Lenovo T60 laptop in realtime. (the number might be off by an order of 2-4, I remember playing with different numbers, but do not remember the exact value).
Interesting thing was that the "waves" that emerged by themselves, and with a certain size of the network they were sustainable even when I removed the initial "random noise" stimuli.
I did not figure out a decent way to attach the inputs/outputs to this "soup". Since this capacity does approach the brain size of an ant, might be fun to toy with a "virtual world" "inhabited" by connected computers running the simulation.
Could be a fun project, even if a little impractical. (Though I sadly lack the knowledge in the domain to make it happen).
- a-priori 16y agoYes, I did an internship for the BBP last year. This is not based in any way on their work. That code has problems simulating multiple neurons for some reason (possibly thread safety in GSL?). But, it can simulate one neuron at 20x realtime, with dumping traces to disk. If I were to disable dumping traces, it'd be primarily limited by GSL's differential equation solver. (Sorry, too tired to respond to the second half of your comment)