Sensory-motor control of intelligent robots using oscillatory neural networks

Abstract

The authors describe some preliminary results on the application of oscillatory neural networks to the coordination and control of nonrhythmic, sensor-induced, free movement in intelligent adaptive industrial robots. In such devices, as appears to be the case in living creatures, sensory stimuli arrive at specific sensors and generate oscillatory space-time neural activity which results in recognition, association, and generation of corresponding motor trajectories. Some preliminary results are described from network simulations which demonstrate this type of behavior, and an attempt is made to relate them to recent experimental results from neurophysiological studies of visual perception.<>