Evolution of structure and information processing in the nervous system: Part IV of a general theory

Abstract

Starting from fundamental principles, evolution of the nervous system is modelled as a random walk process in a multidimensional representation space (the F-space). This space is not flat, it is highly structured in terms of step probability. Fundamental considerations of evolutionary speed, efficiency of information processing, and priorities lead to specific theoretical predictions of the most probable pathways of evolution of the nervous system and its mechanisms of information processing. These processes are represented as vector paths (F-paths) in the F-space. Cognition becomes a process of correlations of the input signal to information stored in memories. Higher level brain processes involve extrapolation and interpolation along F-paths, input data reduction by clearly specifiable abstraction methods, and a unique process using abstracted analogs. These processes define and limit what the brain does and how it can do it. These considerations lead to certain inevitable conclusions (consequences of the fundamental principles) for the basis of our logical reasoning, decision-making, the process of dreaming (conscious and sleep), and explicit definitions of consciousness, unconsciousness, and personality. Detailed applications of this theory for analyzing empirical findings are suggested in the final paragraphs.