My wild hot take: 1) this perspective may well be right and if so is super important 4 neuro-theory and AI — I’m investing energy on the idea that it may be right, 2) most important advance in neuro in next 5-10 years will be molecularly annotated connectome. No contradiction.
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(Though an appealing aspect is one can *also* try to make pytorch code based mostly on other considerations and see how it does, i.e., much current cognitively oriented AI, if you want to try to ~ignore biology.)
Thanks. Twitter will use this to make your timeline better. UndoUndo
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I whole heartedly agree.There are however some important
to be made before that can happen. Part of that is going to be pytorch-like output. Concepts might be easier to keep from AI, but I think to really get broad acceptance need to be anchored in the language we use today -
Konrad and I tried to say similarly in 2016 but probably nobody read to page 38... https://www.biorxiv.org/content/biorxiv/early/2016/08/22/058545.full.pdf …pic.twitter.com/aHj2RmapLv
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. With sequencing you have to have a pretty good idea what you are looking for; e.g. antisense lncRNA and promoter choice of protocadherins.