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The brain can more accurately be described as two organs than one.

Examines the question in relation to the universe. Suggests the field of language may produce a Roman explanation. Relates to the understanding of the brain.

Presents a method for unfolding the cerebral cortex and other folded surfaces. Discusses the problem of unfolding such surfaces and gives examples of its complexity. Proposes an algorithm and suggests software implementation. Considers the presumed functions on cortical surface and discusses clinical applications.

Discusses the meaning of logic and its historical origin. Relates considerations to human knowledge and sees logic as a set of rules that were included from the beginning to bind facts together. Considers how logic functions in the human brain.

Reviews some of the current thinking on the specification of the human brain. Presents a study of its functions but sees the number of hypotheses explaining the phenomena as small. Examines the human brain above and below the neurone level. Discusses the complex properties of memory, and comments on the classic demonstrations of its actions.

Examines the problems of determining the unfolded shape of the entire human cerebral cortex. Discusses the isometric and isogonal cortex and measurement methods. Maintains that better methods of measurement and calculation should yield a more accurate model but one which is unlikely to be significantly different from that presented in the article.

Abstract programming attempts to extract the principles underlying problem solving and therefore approximate more nearly to a unified behaviour theory. A distinction is made between white matter theory and grey matter theory, both of which are outlined. The level of organization at the level of the neuron as found to be very high; the significance of this is discussed particularly in view of the consideration that the neurone must exist in the equivalent of a Skinner box since it is difficult to see how learning can be accomplished unless correct behaviour is rewarded at cellular level. The concepts of recursion and that of the structure of knowledge are an essential basis to the understanding of abstract programming; these are outlined in two appendices.

In a discussion of what constitutes a problem and its original solution, the concepts of Roman and Arabic problems are introduced. Most problems in the Universe are Roman and the brain is likened to a Roget Map so that the connection between problem and solution is thought to run parallel.

Proposes that problems can only be solved by trial and error, since the second law of thermodynamics forbids any other means and that the embodiment of this process is a mechanism called a Boltzmann machine, named in memory of the famous physicist, although he cannot have known of it.