High-Dimensional Perceptual Signals and Synthetic Phenomenology

Synthetic phenomenology, in the sense of Chrisley, mainly focuses on the analysis of simplified perceptual signals with small or reduced dimensionality. Instead, we claim that synthetic phenomenology should be analysed in terms of dynamic perceptual signals with huge dimensionality. We claim that forms of dimensionality reduction of the perceptual signals, as done e.g. in typical robot vision applications, are characteristics of automatic “unconscious” processing. An effective “conscious” process actually deals with and must exploit the richness of the perceptual signals coming from the retina. We explore the hypothesis of a high-resolution buffer for the visual process and we discuss an application in a cognitive system for robot vision.