Neurocontrol and neurobiology: new developments and connections

At McDonnell-Douglas, controllers which combine adaptive critic networks with the use of backpropagation in real time have solved difficult control problems crucial to the feasibility of building the National Aerospace Plane (NASP) able to reach earth orbit. As details emerged, parallels to neurobiology have grown stronger and have begun to lead to empirical possibilities of importance to neuroscience. This has led to thoughts of institutional collaboration facilitating what could become a Newtonian revolution in neuroscience, with cognitive implications as well. The authors elaborate on each of these points. The topics discussed are recent progress in neurocontrol; progress in optimization and reinforcement learning; implications for neurobiology and science policy; and a new view of the brain.<<ETX>>

[1]  R. Godson.  Elements of intelligence , 1979 .

[2]  Richard S. Sutton,et al.  Neural networks for control , 1990 .

[3]  P. Werbos.  Neurocontrol, biology and the mind: new developments and connections , 1991, Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics.

[4]  A. Pellionisz,et al.  Brain modeling by tensor network theory and computer simulation. The cerebellum: Distributed processor for predictive coordination , 1979, Neuroscience.

[5]  Fumihito Arai,et al.  Neuromorphic sensing and control-applications to position, force, and impact control for robotic manipulators , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[6]  A. Pellionisz,et al.  Tensor network theory of the metaorganization of functional geometries in the central nervous system , 1985, Neuroscience.

[7]  Fumihito Arai,et al.  Neuromorphic sensing and control for robotic manipulator-position, force and impact control , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[8]  P. J. Werbos,et al.  Backpropagation and neurocontrol: a review and prospectus , 1989, International 1989 Joint Conference on Neural Networks.

[9]  Donald A. Sofge,et al.  Neural network based process optimization and control , 1990, 29th IEEE Conference on Decision and Control.

[10]  S G Lisberger,et al.  The neural basis for learning of simple motor skills. , 1988, Science.

[11]  A. Barto,et al.  Distributed sensorimotor learning , 1992 .