Again, that's not what we're advocating. Lemme give a concrete example: the Sacramento, @somnirons and Senn model predicts that apical dendrite activity will decrease with error. That's a testable, falsifiable prediction.
Without a really solid foundation in molecular biology having a bunch of in situ sequencing layered on top of connectivity will be pretty
. With sequencing you have to have a pretty good idea what you are looking for; e.g. antisense lncRNA and promoter choice of protocadherins.
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I disagree. Work by Josh Huang and the Allen Institute has given characterized great markers that in conjunction help identify many inhibitory and excitatory cell types. That will go a long way towards interpreting reconstructed EM volumes.
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But is the goal of molecular biology in neuroscience to identify cell types? Very depressing if so.
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