A Perceptual Coding Language for Visual and Auditory Patterns

Abstract

A formal coding language for twoand three-dimensional shapes and for auditory patterns is presented. The coding allows the derivation of measures of information for both shapes and auditory patterns, as well as measures of preferred dimensionality, hierarchy, and substructural order for shapesmeasures that rather successfully predict the corresponding perceptual phenomena. A theory of the origin of the units of information that are independently processed in the human perception of visual and auditory patterns is proposed.