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 ## About ##
 
-NEAT (NeuroEvolution of Augmenting Topologies) is a method developed by Kenneth O. Stanley for evolving arbitrary neural networks. This project is a Python implementation of NEAT.
+NEAT (NeuroEvolution of Augmenting Topologies) is a method developed by Kenneth O. Stanley for evolving arbitrary neural networks. This project is a Python implementation of NEAT.  It was forked from MattKallada's excellent project, and updated to work with current libraries.
 
 For further information regarding general concepts and theory, please visit: [Selected Publications](http://www.cs.ucf.edu/~kstanley/#publications) in Stanley's website.