Well this is pretty interesting.
In 2024, Eon senior scientist Philip Shiu and collaborators published in Nature a computational model of the entire adult Drosophila melanogaster brain, containing more than 125,000 neurons and 50 million synaptic connections, built from the FlyWire connectome and machine learning predictions of neurotransmitter identity. That model predicted motor behavior at 95% accuracy. But it was disembodied: a brain without a body, activation without physics, motor outputs with nowhere to go.
Now the brain has somewhere to go.
The blog post "The First Multi-Behavior Brain Upload" with accompanying video, describes how they've integrated "Eon’s connectome-based brain emulation with a physics-simulated fly body" and show the resulting virtual fly moving in a space.
Seems like this is mostly based around physical movement. Is the claim that this connectome is a generic model for the entire species of fly, or is it in some way unique to a particular fly. If this approach is scaled up to a mouse, as described, could it capture memories of a particular mouse (say of how to get through a maze?).

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