Not an HTM question - but I recently discovered C. elegans nematode (a transparent roundworm with about 302 neurons) which seems to be widely used by neuroscientists for their research.
However, I was wondering whether we can apply an approach like NeuraLink does - an interface that records the activated neurons of the brain at the current timestep and synthesize a dataset of the same. States of other corresponding parts may also be recorded to further complement the dataset. Since the number of neurons is manageable, I don’t see why the surgery might be complicated.
Then, we could apply any DL technique and try to predict the state of some neurons; if we manage to pre-train on such a specific dataset and accurately predict a reasonable part of the nematoda’s brain given some input then we can replicate that worm as a 3D simulation easily (or more realistically an agent in a simple environment) and investigate whether it can demonstrate simple behavior.
Is an experiment like this scientifically/biologically possible?