Bottom-up processing is a data-driven process that involves the initial analysis of incoming sensory information based on basic features such as colors, shapes, and textures. According to the parallel-distributed processing model, bottom-up processing is an essential component of perceptual processing that is integrated with knowledge-based top-down processing.