Control of manipulators by neural networks

One of the most intriguing properties of natural neural systems is their ability to control exceedingly sophisticated manipulators like arms, legs or trusses, i.e. to produce a large number of efficient motor commands in real time. This remarkable capability of neural systems is based on parallel information processing. The concepts of parallel information processing are not very well understood, mainly because they differ fundamentally from the algorithmic concepts of sequential information processing prevalent in contemporary computers.