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Isnt there also a theory and some evidence that the connectome is not enough to model a brain. Based on the fact that butterlies connectome dissolves during metamorphosis to butterfly but it still remembers things from before that stage of life.
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Butterflies dissolving is an urban legend. They don't dissolve. Caterpillars have wing stubs inside them.

Someone probably cut open a chrysalis and saw goop come out, so they assumed it was just a bag of goop. But goop would also come out of a cut open caterpillar, or a cut open butterfly, or a cut open human.

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That says the butterflies have a back up mechanism, it doesn't say that connectomes are insufficient for modelling running neural processes.

We don't actually know what is sufficient for modelling neural processes until we do it. But we can't really do that until we figure out how to read all the connection strengths.

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We also have the connectome of Nematode (Caenorhabditis elegans), but researchers lack funding to determine the weights, too.
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No, the nervous system is one of those things that don't fully dissolve. Partial info retention is perfectly consistent with partial connectome retention.
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I feel like probably a graph of sigmoid or whatever weights of sufficient size can probably model a network of biological neurons signaling frequency and phase and magnitude.
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It won't be confirmed until we record all the stimuli and outputs of a fruit fly's nervous system in normal environment.
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