As neural nets have matured, many subfields have taken on a substantial life of their own. This talk will argue that this is a necessary and healthy development, and that such subfields still have profound mutual dependencies on the rest of neurally-inspired research. Furthermore, much work remains in traditional neural net design -- work that promises substantial progress for engineering applications. The talk will point out a few such directions and their motivations.

作者简介：

Mr. Donald Wunsch, IEEE Fellow and former Chairman of INNI，is a Mary K. Finley Missouri Distinguished Professor of the University of Missouri-Rolla. Prof. Wunsch has been the IEEE Electron Devices Society Distinguished Lecturer since 2006. He was selected by the National Academy of Engineering for its Frontiers in Engineering program, Bremen, Germany, 2000. He received the National Science Foundation CAREER Award, and was Charles Hedlund Visiting Professor-American University in Cairo. He won the Halliburton Award for Excellence 94-95. Prof. joined such Honor Societies as Beta Gamma Sigma, Eta Kappa Nu an Phi Kappa Phi. He is the Academician of the International Academy of Technological Cybernetics and of the International Informatization Academy.