Questions for neurotwitter: 1. What are current obstacles to generating a connectomic map of a whole mammalian brain at nanometer scale? 2. What impt questions could we answer with n=1? n=2? 3. What new analysis capabilities would be needed to make sense of whole brain data?https://twitter.com/albertcardona/status/1078737475470807040 …
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Some mol info like
#receptors or docked vesicles indicate ~strength, but other molecules probably serve to add or remove those — these latter \propto dS/dt. Maybe. -
Example of this kind — and there is an antibody for it! http://science.sciencemag.org/content/363/6422/eaav1483 … Now just add DNA tag :-)
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supposing one has only a coarse anatomical "correlate" of strength (number of synapses; cumulative area of contact maybe) how good can one do at predicting circuit behavior(s)? iow, are there any cheeky shortcuts where we can do "good enough" without knowing precise strengths?
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That is a great question. And I have no idea why the connectomics field does not take it seriously!
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I totally agree with your intuition!
Thanks. Twitter will use this to make your timeline better. UndoUndo
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