I'm currently working on a variation of a spiking neural network that learns by making and purging connections between neurons, which so far has been pretty interesting, though I am having a hard time getting it to output anything more than just the patterns it recognised. I did play around with adding its outputs to the input list, making it sort of recurrent but its practically impossible to decode anything thats going on inside of the network. Im thinking of tracking the inputs around to see what its doing right now, might be interesting to see it generate some sort of tree-like structure.