But tbh when I have seen the claim "we found nodes in our network with response properties that look like neuron classes" it's usually so general that it's not clear how it couldn't be true, because the classes are OFF / ON / Nothing.
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Ideally: highly multiplexed molecular imaging, including receptors, neuropeptides, ion channel distributions, etc, but with synaptic spatial resolution and in the context of at least sparse connectivity (linking synapses to their parent cells via barcodes) of the same cells.
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Anyway, take this as one data point on a possible perspective: someone who thinks that's the technology we most need, but that Blake et al's theoretical framework may be in the direction of the theoretical framework we need...
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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. -
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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