I figure there is a vast body of literature on stereovision, both neurophysiological and computational studies. Computer Vision also provides some algorithmic insight on implementing binocular disparity. Although a lot of people are doing that and have research the topic in the past, I'm lost to find a simplest/standard yet biologically plausible approach to account for binocular disparity in a neurodynamical model.
Neural Mechanisms of Stereoscopic Vision:
Neural Encoding of Binocular Disparity: Energy Models, Position Shifts, and Phase Shifts:
Neural Models of Stereoscopic Vision: