There exists a theory of a single general-purpose learning al- gorithm which could explain the principles of its operation. This theory assumes that the brain has some initial rough architecture, a small li- brary of simple innate circuits which are prewired at birth and proposes that all significant mental algorithms can be learned. Given current un- derstanding and observations, this paper reviews and lists the ingredients of such an algorithm from both architectural and functional perspectives.
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