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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Replying to @neurowitz
3). Inverse plasticity. I give you a connector and the relevant statistics of the world. I want to solve for what the brain is optimizing. It may be possible.
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Replying to @KordingLab
Do you think this is possible in the absence of functional annotations?
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Replying to @neurowitz
I think so. But it is hard.
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Replying to @KordingLab @neurowitz
We tried. Tough to infer connections, and to infer *changes* in connections is way harder. Must measure many synapses at 2 times.
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Replying to @xaqlab @KordingLab
I think
@SebastianSeung has been thinking about potential ways around this problem...1 reply 0 retweets 1 like -
Would be very curious to see his ideas.
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Replying to @KordingLab @neurowitz and
I may come across as molecular annotation extremist, but I bet with enough static molecular detail one could get something indicating dS/dt where S is synaptic strength.
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Replying to @AdamMarblestone @KordingLab and
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.1 reply 0 retweets 0 likes -
Replying to @AdamMarblestone @KordingLab and
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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Really it would be a “force” F indicated by these molecules where F drives the first or second temporal derivative or strength, or some more complex model.
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Replying to @AdamMarblestone @KordingLab and
Do you lose dS/dt with *very transient* anasthesia such that you’d need to know some fast dynamics or membrane voltage to know dS/dt in the ~seconds around fast tissue fixation/perfusion/freezing?
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Replying to @AdamMarblestone @KordingLab and
Or is it encoded in the molecules that will be orchestrating to implement it? Just as *presence* of a repressor on DNA will impact transcription *rate* say?
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