Abstract

This article describes how Pribram's holonomic brain theory fits into Neurological Positivism's overall perspective of the evolution of the algorithmic organization of space and time in the brain. It is proposed that the principles of holonomic theory themselves represent a dynamical "diagram of forces" that have resulted from evolutionary processes - thus the holonomic space and time in the brain. The maximum-power evolution guided self-organizing, exteriorizing derivation of mathematics from the algorithmic patterns of the preadapted human brain is described. It is proposed further that the workability of mathematics in the "real world," far from being a mystery, is a necessary result of the origin of mathematics in neural circuitry patterns that are, in turn, encapsulations of real world dynamics. It is concluded that the organization of symbol systems is naturally approaching in power the algorithmic organization of the brain itself.