Cool project! Makes me want to recommend to my brother to start something like this.

Would definitely recommend trying vectorised calculus (instead of calculating the output with loops [0]) I'd also advise you to steer from some apparently neurology-inspired terms (stimulus) and use terms more common in machine learning (vector, features, etc.).

If you want to go further with this, you could try to implement back propagation with different activation functions and any depth. Check CS231n [1], the reference course for this.

[0] https://github.com/made2591/go-perceptron-go/blob/master/uti... [1] http://cs231n.stanford.edu/