It is an old but good paper on a novel perceptron architecture that is widely used for reinforcement learning these days. I’ve created a bare-bones implementation in Python for those who are interested. You’ll need numpy and matplotlib.

Here’s a sin curve we all know and love:

And here’s the CMACs training error over time:

And finally a picture of the function that the CMAC outputs after training: