This post is shameless self-promotion, but I'm told that's probably okay in the Discussion section. For context, as some of you are aware, I'm aiming to model C. elegans based on systematic high-throughput experiments - that is, to upload a worm. I'm still working on course requirements and lab training at Harvard's Biophysics Ph.D. program, but this remains the plan for my thesis.
Last semester I gave this lecture to Marvin Minsky's AI class, because Marvin professes disdain for everything neuroscience, and I wanted to give his students—and him—a fair perspective of how basic neuroscience might be changing for the better, and seems a particularly exciting field to be in right about now. The lecture is about 22 minutes long, followed by over an hour of questions and answers, which cover a lot of the memespace that surrounds this concept. Afterward, several students reported to me that their understanding of neuroscience was transformed.
I only just now got to encoding and uploading this recording; I believe that many of the topics covered could be of interest to the LW community (especially those with a background in AI and an interest in brains), perhaps worthy of discussion, and I hope you agree.
I'd heard it said that the best human simulators required something like one laptop per neuron - I take it this is because cerebral cortex neurons are more demanding than any C. elegans neuron?
Right -- some cortical neurons have 10,000 synapses, while the entire C. elegans nervous system has less than 8,000.