A Computational Model for Mental Face Spaces: Implications for Visual Development and Autism

In this article, we follow a data-driven approach to reconstruct models of global neuronal events that could comprise the dynamics of brain's processing of facial stimuli. The computational experiments are carried out in the context of prediction of infant visual development to exhibit ASD versus no ASD risks based on monochrome vision. We provide conceptual support for utility of the above-mentioned monochrome results to color image/video data. The monochrome pattern recognition of eye movement in ASD versus non-ASD subjects provide support for feasibility of generalizing the monochrome theory and algorithms to color vision.