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this post was submitted on 02 Oct 2024
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science
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So can we model this now?
Can we use this data to essentially emulate a fruit fly's behavioral patterns?
Like can we just wire this up in a software neural network, feed it some inputs, and see what happens?
As far as I understand, not really, as neural networks are more of a metaphor than an analogue. They don't have a one to one correspondence to brain neuron behavior.
In a physical (as in physics) sense, it’s because software neural nets are inherently digital, whereas actual neurons function in the analog (in terms of electrical impulses, as well as chemically) domain. We don’t have tech to accurately and effectively represent all of that.
https://en.m.wikipedia.org/wiki/Organ-on-a-chip
Audio is inherently analogue, but you can record it into digital formats just fine.
It's tempting to say "well, that's different though" but it really isn't.
Just like with audio, you'll need high enough fidelity encoding to make it all work, otherwise you end up with garbage.
Based on my understanding of how these things work: Yes, probably no, and probably no... I think the map is just a "catalogue" of what things are, not at the point where we can do fancy models on it
This is their GitHub account, anyone knowledgeable enough about research software engineering is welcomed to give it a try
There are a few neuroscientists who are trying to decipher biological neural connections using principles from deep learning (a.k.a. AI/ML), don't think this is a popular subfield though. Andreas Tolias is the first one that comes to my mind, he and a bunch of folks from Columbia/Baylor were in a consortium when I started my PhD... not sure if that consortium is still going. His lab website (SSL cert expired bruh). They might solve the second two statements you raised... no idea when though.