"… Researchers are hoping to do that now that they have a new map — the most complete for any organism so far — of the brain of a single fruit fly (Drosophila melanogaster). The wiring diagram, or ‘connectome’, includes nearly 140,000 neurons and captures more than 54.5 million synapses, which are the connections between nerve cells.
… The map is described in a package of nine papers about the data published in Nature today. Its creators are part of a consortium known as FlyWire, co-led by neuroscientists Mala Murthy and Sebastian Seung at Princeton University in New Jersey."
See the associated Nature collection: The FlyWire connectome: neuronal wiring diagram of a complete fly brain, which also has links to the nine papers
All nine papers are open access!
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.