2 questions

(1) I'm trying to replicate a network, published in a recent article, which uses "a Gaussian activation function that ranges between 0 and 1, which a SD of 1. The [hidden] units generate a maximum response of 1 when their net input is equal to the mean of the Gaussian." I can't substitute the standard sigmoid function in my replication because I'm interested in analyzing properties of the trained hidden layer and that would defeat the point. Can what I'm trying to do be done in PDP++? How do I substitute the gaussian for the sigmoid function? Looking at page 21 of the manual makes me pessimistic.

(2) I've tried to find the various example networks for use with Computational Explorations in Cog-Neuroscience but without much luck. I"ve used both Windows and PDP++ to try to locate them. I'm not entirely sure that the standard downloadable package includes the examples at all. Am I wrong about that? Where are they? Do I need to download them separately? What's the URL?