I frankly think calling the Eon video any sort of “upload” is quite misleading and exaggerated. There are at least two fundamental reasons for this:
@Aurelia, as you, Ken, and even Eon (later on in their blog post) correctly point out, this was a leaky integrate-and-fire (LIF) model built from the fly connectome. So it’s not even close to the full brain of the fruit fly: no neurotransmitters, no synaptic weights, no synaptic dynamics from the fruit fly. We are not even faithfully simulating its brain in silico.
Not only is the central nervous system not a true upload, but the motor system isn’t either. What is instead used as a mapping between this LIF model and motor outputs is a policy that is hard-coded (not even imitation-learned via RL, though later on they & others do this) from fly behaviors from the NeuroMechFly team at EPFL. So the LIF model they use is neither necessary nor sufficient for the generated behavior: the fly policy can walk on its own without any additional inputs, as the EPFL team already demonstrated.
I frankly think calling the Eon video any sort of “upload” is quite misleading and exaggerated. There are at least two fundamental reasons for this:
@Aurelia, as you, Ken, and even Eon (later on in their blog post) correctly point out, this was a leaky integrate-and-fire (LIF) model built from the fly connectome. So it’s not even close to the full brain of the fruit fly: no neurotransmitters, no synaptic weights, no synaptic dynamics from the fruit fly. We are not even faithfully simulating its brain in silico.
Not only is the central nervous system not a true upload, but the motor system isn’t either. What is instead used as a mapping between this LIF model and motor outputs is a policy that is hard-coded (not even imitation-learned via RL, though later on they & others do this) from fly behaviors from the NeuroMechFly team at EPFL. So the LIF model they use is neither necessary nor sufficient for the generated behavior: the fly policy can walk on its own without any additional inputs, as the EPFL team already demonstrated.