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The fact that the structure of the mammalian cerebral neocortex is strikingly uniform leads to a conjecture that various functions of the brain consists of a rather small number of fundamental operations. Marr's theory attempts to explain brain function using this conjecture and known neurophysiological facts. The characteristics of information to be processed by the brain are considered, and a fundamental hypothesis which asserts that the information has a particular kind of redundancy is made. Theorems to diagnose or interpret input events are introduced into the hypothesis. Neural nets implementing the theorems are shown, and finally correspondence between the networks and neurophysiological knowledge is described. The system implementing the theory is similar to that of perceptron. But the theory contains several unique and valuable points.