A General Architecture for Classical Conditioning of Perceptual-Motor Sequences
NAVAL OCEAN SYSTEMS CENTER SAN DIEGO CA
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A general neural network architecture, loosely modeled on the cerebral cortex, for the classical conditioning of perceptual-motor sequences is described. The utility of such an algorithm in robotics applications lies in its potential to adaptively order gross and fine motor actions under sensory control.