Collerton et al.'s Perception and Attention Deficit model argues that all recurrent complex visual hallucinations result from maladaptive, deficient sensory and attentional processing. We outline a constructivist-based representation of perception using signal detection theory, in which hallucinations are modeled as false alarms when confirmational perceptual information is lacking. This representation allows for some individuals to have RCVH due to a criterion shift associated with attentional proficiency that results in an increased awareness of the environment.

Natural selection of asymmetric traits operates at multiple levels. Some asymmetric traits (like having a dominant eye) are tied to more universal aspects of the environment and are coded genetically, while others (like pedestrian turning biases) are tied to more ephemeral patterns and are largely learned. Species-wide trends of asymmetry can be better modeled when different levels of natural selection are specified.

We support Webb's insights into the potential benefits of using robotic modeling to better understand biological behavior. We defend the major points put forward by Webb by presenting a specific case study in which robotic modeling of mobile ball catching has helped refine and clarify aspects of our understanding of biological interceptive behavior.