I recently read the Shannon biography 'A Mind at Play' [0] which I guess is the full version of the article (same authors). It does (IMHO) a very good job at explaining entropy / information.
There are some papers from Prof. Braun describing experiments where he uses mutations from genetic / evolutionary algorithms to find the optimal structure of a neural net.
They write in the text that their model featured nonlinear transformations. I think the picture shows a simplified view and as the plots don't have labels it's not clear which space is regarded.