A NEURAL MECHANISM FOR FUNCTION APPLICATION IN VISUAL AWARENESS MODELS

摘要

We discuss the role of function application in neural models of visual awareness with reference to the handling of language understanding. The problem of modeling the application of functional relations mapping a set of given input variables to a defined output outcome is seen to arise in the context of enabling a visual awareness model to handle verbal and visual input for a variety of tasks. The inadequacy of previously presented approaches is placed in context, and a novel technical solution presented, derived from the demonstration of an adjective recognition scheme implemented for the handling of shape-color depiction. The extension of such an approach to the handling of motion verb recognition by means of path labeling and position identification in a depictive model of visual awareness is discussed. The practical effectiveness and utility of the presented scheme to a wider range of function applicative contexts is accordingly examined.