Be careful about how you interpret that paper. It looks really impressive -- real neurons in a petri dish seem to successfully (if amateurishly) murk a few imps. https://www.youtube.com/watch?v=yRV8fSw6HaE But there's more to the setup than you might assume from a casual reading. Here's the code used for that demo: https://github.com/SeanCole02/doom-neuron So there is an entire pytorch stack wrapped around the myster…
All opinions are my own: The whole point of the CNNs is to act like a auto encoder for input and an auto decoder for output. The only reason why this is done in the first place is because the number of electrodes in the dish is pitiful and has no chance of describing something as complex as Doom. They are there to create a latent space that can be fed through 60 odd electrodes and decode the neuron latent space into…
That sounds terrifying.