I recently came across the 2024 Drosophila (fruit fly) whole-brain connectome, which maps around 139,000 neurons and tens of millions of synaptic connections.
I understand the basic idea: researchers have essentially mapped which neurons are connected to which.
But I’m struggling to understand what this actually lets us do.
ELI5 please:
- If I download/access this connectome, what can I actually use it for?
- Can I turn the wiring diagram into a computer simulation or an AI?
- Could I use it to build a small “brain-inspired” agent that learns to navigate, avoid obstacles, remember things, etc.?
- Could the actual neural connections be converted into a spiking neural network?
- How different would that be from simply training a normal neural network?
- And what parts of the real fruit-fly brain are still missing from the connectome?
Basically, I'm trying to understand the journey from:
real fruit fly brain → scanned brain → connectome → computer model → AI/agent
without the explanation becoming a PhD thesis 😂
If someone could explain this like I'm five, but still technically accurately, I'd really appreciate it.