Some tutorial Matlab neural network programs

Here are a few extensively commented Matlab programs that I wrote, which I hope might be useful for teaching a course on how to program neural nets. Please feel free to mail me with any questions or comments.

bkprop.m - This program shows step-by-step how to write classic Rumelhart & McClelland backprop using just matrices and vectors. This code might be useful for teaching the basic structure of the backprop algorithm, or for showing how to avoid for-loops by vectorising. I posted this code to the newsgroup comp.ai.neural-nets and it was subsequently used for teaching in a course at the University of Zurich AI Lab.
sofm.m - This program shows how a Self-Organising Feature Map (or SOFM, also often called a Kohonen map) can learn a particular input distribution, in this case a letter 'A'.
fuzzyartmap_demo.m - This program shows graphically how Fuzzy ARTMAP learns the circle-in-the-square task by growing category boxes in response to the presented inputs. Detailed comments explain the algorithm's match, reset and learning stages.