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:
This paper is a 1998 review of the experimental data surrounding stereoscopic vision.
Neural Encoding of Binocular Disparity: Energy Models, Position Shifts, and Phase Shifts:
In this paper, Heeger puts forward computational models of binocular disparity using phenomenological models of neurons (i.e., using receptive fields of neurons, not using biophysical mechanisms).
Neural Models of Stereoscopic Vision:
A 1991 review of computational models of neural responses to binocular disparity.