A formal theory of systems was proposed previously as providing a quantitative basis for neural computation. This theory dictated the architectural aspects of a pyramidal-neuron system model including its operation, adaptation, and most importantly, its computational objective. The principal result was a perceptron architecture that, through adaptation, learns to ask a specific space–time quest...