To summarize, we take the connectomic/synaptomic data, put that data into a useable database and then create programming that uses that data to emulate the animal nervous system the data represents.

The original experiments with C elegans showed that just by using the connectome data and applying it to a robot, displayed congruent behavior we found in the biological animal. Further ablation experiments show similar behavior also from animals where neurons were removed. This allowed us to understand that the emulated nervous system was congurent to the real animal. This also made us realize that we were observing a primitive general intelligence as the worm emulated robot could navigate freely wherever we placed it and without any pre- training. The robot was using just the emulated nervous system and no other means to navigate. It was truly domain agnostic.

One can see this behavior in these Youtube videos:

The latter emulation was done by using this program here on github This program has been used and rewritten across the globe and applied to many robots.

Coming is a metal detecting robot that will use the C elegans app to discover metals in the ground as it traverses different environments. I did a PoC with this concept a few years ago with an metal detector strapped to an RC car, ran it in Balboa Park (Southern California: San Fernando Valley) and found many washers, bolts and about 35 cents in coins.

My on-going effort is using my emulation of the Drosophila nervous system and applying it to a quadcopter drone = Dronesophila. Stay tuned. The Dronesophila is a definitive Proof of Concept for autonomous navigation/general intelligence for flying devices but can be used on any robot that requires autonomous navigation.