Thanks for your interest. Yes, that’s the very same behavior I’m observing, in general. With longer training, and longer backpropagation through time I was able to generate simple sinusoidal signals and even a square wave, but with more complex signals the network always ends up to a fixed point (not necessarily zero). And thanks for listing the post by Element Research. It looks like that my naive model is not completely off-track.