>How would a backpropagation work in such an architecture? In the simplest case you can feed signals 'in one end', let it do it's thing and then take the outpu

>How would a backpropagation work in such an architecture? In the simplest case you can feed signals 'in one end', let it do it's thing and then take the output, which you further feed through the rest of your architecture. Rewarding can be (in the simplest case) done with neurotransmitters (mostly dopamine) as it would've worked normally. You basically have to mimic something like this[0], by rewarding based on your loss function. (of course, in reality, you'll have to do a lot more than that) 0. http://www.scholarpedia.org/article/Reward_signals http://www.scholarpedia.org/article/Reward_signals